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PhD Thesis | 2019 1 FACIES, DIAGENESIS AND PORE CHARACTERISATION OF THE LOWER CARBONIFEROUS HODDER MUDSTONE FORMATION, BOWLAND BASIN, UK A thesis submitted to The University of Manchester for the degree of Doctor of Philosophy in the Faculty of Science and Engineering 2019 TIMOTHY M. OHIARA SCHOOL OF EARTH AND ENVIRONMENTAL SCIENCES The University of Manchester

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PhD Thesis | 2019

1

FACIES, DIAGENESIS AND PORE

CHARACTERISATION OF THE LOWER

CARBONIFEROUS HODDER MUDSTONE

FORMATION, BOWLAND BASIN, UK

A thesis submitted to The University of Manchester for the

degree of Doctor of Philosophy in the Faculty of Science and

Engineering

2019

TIMOTHY M. OHIARA

SCHOOL OF EARTH AND ENVIRONMENTAL SCIENCES

The University of Manchester

PhD Thesis | 2019

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List of contents

Title page…………………………………………………………………………………………………………………. 1

List of contents ................................................................................................................................................ 2

List of figures ................................................................................................................................................... 7

List of tables ................................................................................................................................................... 16

Abstract ............................................................................................................................................................ 18

Declaration ..................................................................................................................................................... 20

Copyright statement ................................................................................................................................... 20

Dedication ....................................................................................................................................................... 21

Acknowledgements ..................................................................................................................................... 22

The author ...................................................................................................................................................... 23

1 Introduction .......................................................................................................................................... 25

Research rationale ..................................................................................................................... 25

The Bowland Basin geologic setting ................................................................................... 28

1.2.1 Palaeogeography ................................................................................................................ 29

1.2.2 Stratigraphy ......................................................................................................................... 32

Research aims .............................................................................................................................. 35

Research objectives ................................................................................................................... 36

Dataset and methodology ........................................................................................................ 38

1.5.1 Core description, logging and sampling .................................................................... 40

1.5.2 Optical thin section petrography ................................................................................. 41

1.5.3 SEM microscopy ................................................................................................................. 41

1.5.4 Micron-scale mineral mapping and SEM cathodoluminescence ..................... 42

1.5.5 Bulk X-ray Powder Diffraction ...................................................................................... 43

1.5.6 Major and trace elemental analysis ............................................................................ 44

1.5.7 Total organic carbon and Rock-Eval........................................................................... 44

1.5.8 Nitrogen gas adsorption .................................................................................................. 45

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1.5.9 X-ray computed tomography ........................................................................................ 49

Thesis synopsis............................................................................................................................ 50

References ..................................................................................................................................... 52

2 A Review on Mudstones .................................................................................................................... 60

Introduction .................................................................................................................................. 60

Mudstone mineralogy ............................................................................................................... 61

2.2.1 Detrital (extra-basinal) components .......................................................................... 62

2.2.2 In-situ derived (intra-basinal) components ............................................................ 62

Mud sedimentation .................................................................................................................... 68

Mud depositional environments .......................................................................................... 70

2.4.1 Shallow marine (muddy coastlines, continental shelves and slopes) ........... 70

2.4.2 Deep marine basins ........................................................................................................... 72

2.4.3 Lacustrine ............................................................................................................................. 73

2.4.4 Alluvial plains ...................................................................................................................... 74

Diagenesis ...................................................................................................................................... 75

Mudstone facies characterisation ........................................................................................ 79

Mudstones: self-sourcing hydrocarbon reservoirs ....................................................... 88

2.7.1 Mudstone porosity and permeability......................................................................... 89

Conclusion ..................................................................................................................................... 94

References ..................................................................................................................................... 95

3 Mud-rich Calciclastic Facies in the Viséan Submarine Fans of the Bowland Basin, UK

104

Introduction ............................................................................................................................... 106

Tectonic evolution and stratigraphy ................................................................................ 108

3.2.1 Viséan stratigraphy of the Bowland Basin ............................................................ 111

Methods ....................................................................................................................................... 114

Results .......................................................................................................................................... 116

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3.4.1 Sedimentological elements and facies description ............................................ 116

3.4.2 Facies architecture and depositional geometries .............................................. 135

Discussion ................................................................................................................................... 143

3.5.1 Carbonate turbidite facies classification ................................................................ 143

3.5.2 Depositional setting ....................................................................................................... 145

Conclusion .................................................................................................................................. 156

References .................................................................................................................................. 157

4 Diagenetic Evolution in the Carbonate- and Siliceous-rich Hodder Mudstone

Formation, Bowland Basin, UK ............................................................................................................ 166

Introduction ............................................................................................................................... 168

Study area ................................................................................................................................... 170

Research data and methods ................................................................................................ 172

Results .......................................................................................................................................... 175

4.4.1 Lithology description .................................................................................................... 175

4.4.2 Bulk XRD composition .................................................................................................. 178

4.4.3 Palaeo-environmental proxies .................................................................................. 180

4.4.4 Petrographic description ............................................................................................. 185

4.4.5 Organic matter characterisation and maturity data ......................................... 186

4.4.6 Detrital components ...................................................................................................... 189

4.4.7 Authigenic minerals ....................................................................................................... 191

4.4.8 Fractures ............................................................................................................................ 201

Discussion ................................................................................................................................... 205

4.5.1 Paleo-redox conditions ................................................................................................. 205

4.5.2 Paragenetic sequence .................................................................................................... 206

Implications ............................................................................................................................... 217

Conclusion .................................................................................................................................. 219

References .................................................................................................................................. 220

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5 Pore Morphology and Nanopore Characterisation of the Hodder Unconventional

Reservoir, Bowland Basin, UK .............................................................................................................. 259

Introduction ............................................................................................................................... 260

5.1.1 Lower Carboniferous Bowland Basin shale gas potential .............................. 264

5.1.2 Samples and methods ................................................................................................... 266

Results .......................................................................................................................................... 272

5.2.1 Lithology description and sample mineralogy .................................................... 272

5.2.2 Pore types and morphology ........................................................................................ 278

5.2.3 Pore size quantification ................................................................................................ 283

Discussion ................................................................................................................................... 293

5.3.1 Sample composition and qualitative pore observations ................................. 293

5.3.2 Mineral composition and pore quantification ..................................................... 295

5.3.3 Implication for Bowland-Hodder unconventional shale gas exploration . 299

Conclusion .................................................................................................................................. 301

References .................................................................................................................................. 301

6 Summary, conclusion & future work ........................................................................................ 338

Summary of Results and Implications ............................................................................. 338

6.1.1 Study 1 (Chapter 3): A characterisation of sedimentary facies and

depositional controls of the studied succession .................................................................. 338

6.1.2 Study 2 (Chapter 4): The diagenetic evolution of minerals in Hodder

Mudstone ............................................................................................................................................. 341

6.1.3 Study 3 (Chapter 5): Qualitative descriptions and quantitative analysis of

pores in the Hodder Mudstone ................................................................................................... 343

Conclusion .................................................................................................................................. 344

Recommendations for future work .................................................................................. 346

6.3.1 Sediment provenance analysis .................................................................................. 347

6.3.2 Clay mineral diagenesis ................................................................................................ 347

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6.3.3 Multi-scale high-resolution image-based pore characterisation ................. 348

References .................................................................................................................................. 350

7 Appendix .............................................................................................................................................. 351

Sample list and data acquired ............................................................................................. 351

Graphic logs ............................................................................................................................... 354

XRD Diffractograms and Quantitative Data ................................................................... 365

XRF Major elemental data .................................................................................................... 446

Carbonate Pore Systems of the Carboniferous Hodder Mudstone Formation,

Bowland Basin, UK* ............................................................................................................................. 450

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List of figures

Figure 1.1: Palaeogeographical reconstruction for the Carboniferous of southern Britain.

Maps adapted from Dean et al., (2011). AlB- Alston Block; AsB- Askrigg Block; CB-

Craven Basin/Bowland Basin (red boxed); CH- Cheviot High; CuB- Culm Basin; DB-

Dublin Basin; LH- Leinster High; ML–D-Manx-Lake District High; MV- Midland Valley;

NT- Northumberland Trough; RB- Rossendale Block; SB- Shannon Basin; SUH- Southern

Uplands High. ................................................................................................................................................. 31

Figure 1.2: Summarised mega sequences and stratigraphic column of the Lower

Carboniferous UK East Midlands as modified from Fraser and Gawthorpe (1990),

Waters et al. (2009) and Waters et al. (2011). Global chronostratigraphy follow

Gradstein et al. (2012) and regional stages and substages taken from Holliday and

Molyneux (2006). Miospores and Ammonoids biostratigraphic zonation follow Waters

et al. (2009) and Waters and Condon (2013). Bowland Basin lithostratigraphic column

and nomenclature around Bowland Forest adapted from Waters et al. (2009). ................ 33

Figure 1.3: Location map of the study area (a) highlighting major bounding fault lines

and study area. Map adapted from Evans and Kirby (1999). Borehole location of core

samples in (b) map taken from Google map data ©2019 Google. Borehole selection

based on the presence of argillaceous mudstone beds. ................................................................ 36

Figure 1.4: Thesis logical workflow from literature review, data collection and analyses

and final research output .......................................................................................................................... 40

Figure 1.5: An illustration of typical isotherm curves with adsorption branch (red) and

desorption branch (green). Regions (i) representing the onset of microporous filling, (ii)

monolayer filling and (iii) multilayer filling of pores .................................................................... 47

Figure 2.1: Deep sea sedimentary processes for fine-grained sediments modified after

Stow et al. (1996) ......................................................................................................................................... 72

Figure 2.2: General scheme of kerogen types and thermal evolution of kerogen

presented on a modified Van Krevelen’s diagram (Tissot & Welte 1978). Changes to

kerogen is brought about by increased heat during burial (Boyer et al. 2006) and

characterised by the generation of non-hydrocarbon gases (CO2 & H2O), oil, wet gas and

dry gas. Type I kerogen: generated from lacustrine environments; Type II kerogen:

typically from marine environments with reducing conditions; Type III kerogen:

Derived primarily from terrestrial plant debris; Type IV kerogen: “dead carbon” derived

from older sediments redeposited after erosion ............................................................................. 79

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Figure 2.3: Diagrammatic illustration on a ternary plot of an example of the complete

three-component classification using clay, diatoms, and nannofossils as the three end

members, from Dean et al. (1985) ........................................................................................................ 84

Figure 2.4: Ternary plot illustrating sand, silt, and clay end members of mudstones

dominated by detrital components, from Macquaker and Adams (2003) ............................ 85

Figure 2.5: Compositional classification for fine-grained sediments and sedimentary

rocks as proposed by Milliken (2014) ................................................................................................. 85

Figure 2.6: Nomenclature guidelines for fine-grained sedimentary rocks: texture (grain

size), Lazar et al. (2015) ............................................................................................................................ 86

Figure 2.7: Nomenclature guidelines for fine-grained sedimentary rocks: composition,

Lazar et al. (2015) ........................................................................................................................................ 87

Figure 2.8: Summary diagram of the major stages in mudstone burial diagenesis in

relation to pore types, after Loucks et al. (2012) ............................................................................ 92

Figure 2.9: Schematic representation of pore classification by Loucks et al. (2012) ........ 93

Figure 3.1: (a) Location and geological map of the Bowland Basin showing bounding

faults and surrounding areas. Approximate location of studied wells is shown in (b)

inset in Figure 3.1(a). Geological map, structural elements and surface exposures

adapted from the BGS 1:250 000 Liverpool Bay Sheet (Clarke et al. 2018) ...................... 110

Figure 3.2: A simplified summary diagram on the Lower Carboniferous

tectonostratigraphic evolution of the Bowland Basin. (a) Tournaisian to Early Viséan

structural configuration showing emergent/shallow marine areas (northwest and

southeast) and the development of carbonate ramp slope on a simple half-graben tilting

towards the basin margin fault (southeast) (present-day Pendle Monocline). (b) Viséan

to Namurian structural configuration showing progressive extension, hanging wall

segmentation by a series of NE-SW-trending transfer faults and NE-SW-trending

antithetic faults. Diagrams adapted from Gawthorpe (1987) approximate location of

studied samples is indicated. (c) Schematic conceptual diagram (not drawn to scale)

showing the sedimentary depositional architecture of the Bowland Basin and sequence

stratigraphic units (Andrews 2013). ................................................................................................. 111

Figure 3.3: Viséan (Late Chadian to Asbian) lithostratigraphy of the study area shown in

Figure 3.1. Sedimentary thicknesses and facies may vary across basin (after Gawthorpe

1985) .............................................................................................................................................................. 113

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Figure 3.4: Showing mm to cm scale continuous and discontinuous wavy laminations.

Normal and inverse-to-normal lamina-set are common in F1 facies. Clay-rich ripple

laminae eroded surfaces with a combined effect of sediment compaction. Visible

skeletal fragments (blue) are mostly of abraded crinoid. ......................................................... 118

Figure 3.5: Example of interlaminated rudstone (a), packstone, wackestone and

mudstone laminae (b). These lithologies make up the bulk of the F1 facies at varying

thicknesses. Grain imbrication is mostly horizontal. .................................................................. 119

Figure 3.6: Core images highlighting the textural features of the F1 facies recognised by

their distinctive wavy laminations and bioclast content. Facies comprise transitory

rudstone, packstone, wackestone and mudstone laminae ....................................................... 121

Figure 3.7: Textural features of the F2 facies showing core sample with lamina-

disruptive bioturbation trails. Bioturbation traces are preserved as anastomosing traces

typical of Chondrites (arrow indication) with the deposition of relatively larger grains of

bioclast fragments in burrows ............................................................................................................. 123

Figure 3.8: Unlaminated sand- and silt-rich facies: (a) showing core image of facies

comprising very fine quartz-rich sand facies (B) from MHD1 core. Grain size in (c) and

(d) is between silt to very fine carbonate-rich sand. Distinguishing feature between the

two examples is the dominance of quartz grains in (b) and dominance of rhombic

dolomite crystals in (d). .......................................................................................................................... 124

Figure 3.9: Unlaminated clay-dominated mudstone showing (a), core of a dull-lustred

mudstone; (b) photomicrograph of apparently homogenous mud and (c) mineral

component of F4 constituting calcite, quartz and muscovite (mica) surrounding matrix

are dominated by kaolinite. .................................................................................................................. 127

Figure 3.10: Lamina set geometries in planar laminated F5 facies. (A) Showing the

resultant effect of intermittent erosion of silt- and clay-rich lamina and formation of

internal cross-ripples in silt-rich layers (XL). Clay-rich laminae are susceptible to

erosion and easily re-suspended hence apparent erosional surfaces (ES), limited

preservation and thin sub millimetre thickness in (A). Evidence of submarine erosion

can be seen in the formation of lenticular clasts (LL) from sculpted unconsolidated

water-rich muddy sediments. (B) Shows normally graded laminae sets of silt/clay

couplets as indicated by the arrows. Silt grade laminae represents traction carpets and

suspended load aspects (clay grade lamina) typical of waning turbidity flow. Inclination

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of laminae may due to post-depositional deformation most likely from a section of

convoluted beds. ........................................................................................................................................ 128

Figure 3.11: F6 facies showing planar lamination features (a, b & c) and convolute

laminations. Carbonate silt-rich lamina overlying clay-rich planar laminae bounded by a

sharp erosive in the photomicrograph. SEM micrograph of silt/clay laminae contacts (b)

and (c). SEM images highlight the mineralogical variation of a dolomite-cemented (D)

mud-rich lamina and a calcite-cemented silt-rich lamina. Effects of soft sediment

disruption can be seen in the core sample (d), and in petrographic sections (e) & (f). 130

Figure 3.12: F6 facies in core photo (a) showing poorly sorted, conglomeratic fabric.

Micrograph examples show clasts of mostly fragmented crinoids, gastropods (Gast.),

pyritized shells and other shell debris.(b) and (c) reveals translational lineations

(dashed lines) due to internal deformation .................................................................................... 131

Figure 3.13: Typical F7 facies showing (a) & (b) core images of sub-angular to sub-

rounded clasts in mostly sandy matrix. Pencil tip in (a) used for scale. Thin section

photograph (c) shows examples of foraminifera (arrow-indicated) present in lithoclasts.

.......................................................................................................................................................................... 134

Figure 3.14: Correlation of cores MHD9, MHD12, MHD5, MHD4, MHD8, MHD1 & MHD11

from the proximal (west) to distal (east) of the study area. This 3.62 km transect shows

the depositional architecture of the Viséan succession in the study area. The

depositional architecture shows a deepening sedimentary sequence both laterally from

west to east, and vertically. Interval 1 packages are dominated by resedimented

carbonates while interval 2 comprise silt- and clay-rich mudstones. The datum is taken

across a regional sequence boundary (B1-B2a) band above interval 2. Notice a possible

impact of calciclastic facies in interval 2 muddy deposits in MHD1 that is likely

associated with deformation of planar laminated beds in MHD8 and MHD11. Reference

to borehole location is shown in inset and reference for figure 3.15 and 3.16 transects.

Gradation pattern is F3>F2>F1where F3 is coarser and F1 is finer due to ....................... 137

Figure 3.15: Northwest to southeast transect across boreholes MHD1, MHD18 and

MHD3 in an apparent dip direction. Transect illustrates the depositional architecture of

the Viséan Succession oblique to the basin slope. This section highlights the asymmetric

thickening of interval 2 facies towards the southeast. There is an increased intensity in

convoluted laminae towards the southeast. Location reference for boreholes is shown in

Figure 3.14. .................................................................................................................................................. 138

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Figure 3.16: Transect illustrating thickening and deepening of interval 2 facies toward

an apparent depocentre as seen in Figure 3.15. The intensity of soft sediment

deformation also increases towards the deeper section with an apparent impact from

debris flow deposits. The locations of core logs are shown in Figure 3.14. ....................... 139

Figure 3.17: Continuous core section showing alternation of sand- (light grey) and mud-

rich (dark grey) facies of interval 1. Image constitutes facies F1, F2 and F3 distinguished

by bioclast content and degree of lamination. Constituent lithologies are mainly

rudstones, packstones, wackestones and mudstones. Interval 1 has a general fining

upwards trend ............................................................................................................................................ 141

Figure 3.18: Schematic illustration of major depositional environments existing in a

muddy calciclastic submarine fan system with multiple sediment sources. Illustration is

adapted from Mud-rich multiple source ramp model of Stow & Mayall (2000) and the

calciclastic model of Payros & Pujalte (2008). Mud–rich fan models are characterised by

extensive sheets. ........................................................................................................................................ 149

Figure 3.19: Models (not drawn to scale) for soft sediment deformation within the basin

as adapted from Gawthorpe & Clemmey (1985). Model (a) is a typical pervasive

deformation of slide sheets; (b) Deformation concentrated on glide planes; (c)

concentrated deformation in lower part of slide. The F5, F6 and F7 facies seen in

interval 2 are most likely associated with soft sediment deformation. ............................... 150

Figure 3.20: (a) Sketch map of Bowland Basin during regional erosion in the Early

Visean from Riley (1990) with study area located in green spot. (b) Graphic

reconstruction of the main depositional environments and possible processes

responsible for the facies of the studied Bowland Basin Viséan succession. Deposition

was tectonically controlled with influx from biogenic and terrigenous sediments

deposited along slope and basin plain. Calciturbitic flows were responsible for the

deposition of calciclastic sediments along channel and levee complexes and floor fans.

Hemipelagic fallout and mud-rich turbidite cloud produced muddy deposits across the

depositional environment. Slope failures resulted in debris flows and soft sediment

deformation ................................................................................................................................................. 155

Figure 4.1: Location map of the Bowland Basin, showing major bounding faults (dashed

lines), the Bowland High on the north-western basin margin and the Central Lancashire

High to the southeast. Study samples were taken from the MHD boreholes. Map

modified after Evans and Kirby (1999). Red-filled triangles are location of key

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hydrocarbon exploration wells onshore Bowland Basin, and green-filled triangles are

location studied borehole cores. ......................................................................................................... 171

Figure 4.2: A representative core lithologic log from borehole MHD13 showing textural

variations in lithology and sedimentary structures .................................................................... 177

Figure 4.3: Ternary plot of minerals by textural variations. Samples are dominantly

carbonate rich with high tectosilicate and phyllosilicate fractions in clay-rich lithologies.

Although carbonate cemented, very high (> wt. 80%) carbonate content of most clay-

rich samples are due to carbonate cemented micro fractures and occasional shell

fragment. ...................................................................................................................................................... 180

Figure 4.4: Facies variationa in trace element variation for the Hodder Mudstone

samples ......................................................................................................................................................... 182

Figure 4.5: Histograms for palaeo-redox proxies U/Th and V/(V+Ni). More than 50% of

the Hodder Mudstone samples were deposited in an anoxic environment ....................... 183

Figure 4.6: Petrographic images in UV transmitted light (left) and SEM (right) of BR

samples (a) & (b); SR samples (c) &( d) and CR samples (e) & (f). Sample matrix contain

up to 50% mud-sized particles. Grains are dominated by calcite, kaolinite, quartz,

muscovite and dolomite ......................................................................................................................... 186

Figure 4.7: Organic matter residue (OM) mostly preserved as migrated bitumen ......... 188

Figure 4.8: Hydrogen index versus Tmax plot showing a mature, type II/III Hodder

Mudstone. Maturation boundary information taken from Tissot et al. (1974) ................ 189

Figure 4.9: Cross plots of major elements showing evidence of largely detrital

(terrestrial) derived compounds (NaO, K2O, SiO2). CaO shows strong negative trend

indicative of dominant marine origin. NaO and SiO2 may have intrabasinal influence

hence weaker positive correlation. .................................................................................................... 191

Figure 4.10: Calcite cementation seen in optical microscope and SEM images. (A) XPL

photomicrographs showing partial micritization of the outer shell (arrow) of an

indeterminate organism and sparry calcite cementation of shell cavity. (B) Micritized

shells of endothyracid (left bottom of the sample) and milliolid (centre top of the

sample) Forams. (C) & (D) SEM and SEM Cl images showing calcified outer shell of

Foram fragments; minor dissolution produces intragranualar pore spaces in shells. (E)

and F) XPL photomicrographs showing Radiolarian spherules (Ra) and spines of Sponge

spicules (SS) cemented by calcite. ...................................................................................................... 193

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Figure 4.11: Calcite cementation occluding intercrystalline pores in pyrite framboid. To

the right of framboid, calcite has been partially displaced by authigenic quartz. ........... 194

Figure 4.12: (A) and (B) SEM and SEM CL photo example of syntaxial planar dolomite

nucleation, with marked compositional, well developed outward-progressing zones of

mostly ferroan rhombohedral rims. (C) Showing scattered dolomite micron-sized

rhombs (arrows) in the clay-rich lamina. (D)Non planar dolomites, indicative of Later

phase partial dolomitization of calcite-cemented kaolinite in shelter pore (paragenetic

sequence from cross cutting relationship shows kaolinite-calcite-dolomite-quartz). .. 195

Figure 4.13: (A) to (D) Quartz cementation showing the dominance of authigenic quartz

in the Hodder Mudstone in form of quartz overgrowths and euhedral crystals.

Quantitative data was derived from statistical pixel filtering. (E) Microcrystalline quartz

(Q) in association with illite crystals. (F) Silica/calcite intergrowths suggesting a

potential displacement of calcite by silica ....................................................................................... 197

Figure 4.14: (A) & (B) Interparticle kaolinite minerals between grains (arrow.) (C) & (D)

Kaolinite intergrowth between Mica sheets. (E) & (F) Kaolinite precipitation in shelter

pores with preserved intercrystalline pore spaces. Notice calcite cementation of

kaolinite around the outer perimeter in (E). .................................................................................. 199

Figure 4.15: Several occurrences and crystal morphologies of authigenic pyrite (A – D)

and Marcasite (E & F) in the Hodder Mudstone samples. (A) Very fine framboids. (B)

Evidence of early diagenetic poly-framboidal pyrite of varying diameters displaced by a

micro fault. (C) Micro-framboidal pyrite mineralization of skeletal test (arrow-

indicated). (D) Complete body (mouldic) pyritization of a fossil (foram?) and partial

recrystallization. (E) Tabular bladed marcasite. (F) Marcasite and pyrite coexistence.

.......................................................................................................................................................................... 201

Figure 4.16: Fracture orientation, morphology and cementation. (A) & (B) shows the

nature of calcite micro-fracture propagation through clay-rich and silt-rich samples.

Fibrous meandering morphologies are typical in silt-rich units while fractures in more

clay-rich units occur as relative linear bifurcating veins. (C) An example of horizontal

laminae-parallel dolomitized fractures in the clay-rich core sample. (D) Showing

multiple fracture and cement-filling phases. (E) fault-related laminae-displacing

fractures. (F) SEM micrograph of a multi-fractured siderite vein (light grey) crosscut by

calcite (dark grey), iron sulphide veins (bright white thin fractures), organic matter

(black pigments) and host rock inclusions. .................................................................................... 203

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Figure 4.17: (A) – (B) Cement bridges from the simultaneous sealing of fractures as

they open (synkinematic cements- Hilgers and Urai (2002) or crack-seal mechanism–

Gale et al. (2017). Some bridges may contain brecciated host rock inclusions as

observed in (C) & (D). .............................................................................................................................. 204

Figure 4.18: Paragenetic evolution chart of the Carboniferous Hodder Formation ....... 207

Figure 5.1: The various methods utilized for estimating porosity and pore size

distribution in mudstones. Redrawn from Clarkson et al. (2013). Red-outlined

techniques were utilized in this study. ............................................................................................. 264

Figure 5.2: (A) Location and geological map of the Bowland Basin showing surface

outcrops and location of cited wells. Map adapted from the BGS 1:650000 geological

map of the UK. (B) Interpreted seismic section GC83-352 taken from Clarke et al (2018),

location of seismic line is highlighted in (A), vertical scale in two way time. ................... 265

Figure 5.3: A) An illustration of a typical isotherm plot with adsorption branch (red) and

desorption branch (green). Regions (i) representing the onset of microporous filling, (ii)

monolayer filling and (iii) multilayer filling of pores. Forced closure of the desorption

branch onto the adsorption branch marks the limit of multilayer filling. A hysteresis

loop is formed due to capillary condensation mostly in mesopores. (B) Referenced

isotherm types I, II, IIB and IV, and (C) referenced hysteresis loops H1, H2, H3 and H4 as

defined by IUPAC (F. Rouquerol et al. 2013). Desorption branch of isotherm may exhibit

a complete forced closure and minor closure (dashed lines). ................................................. 271

Figure 5.4: Ternary plot of weighted fraction of minerals calculated from XRD data.

Plotted to fit into the Lazar et al. (2015) mudstone classification ......................................... 273

Figure 5.5: Core photographs (CP), thin sections scans (TS) and microscope

photographs in plane polarised light (PM) showing samples H-1 to H-5. H-1

characterised by planar laminations of silt- and clay-rich laminae with horizontal and

vertical mineralised fractures.H-2 representing horizontally fractured clay-rich units. H-

3 is a representative sample of calcareous silt-rich samples. H-4, a typical clay-rich

sample with meandering mineralized fractures. H-5 represents an unlaminated bioclast-

dominated (mostly crinoidal) mudstone. ........................................................................................ 276

Figure 5.6: Core photographs (CP), thin sections scans (TS) and microscope

photographs in plane polarised light (PM) showing samples H-6 to H-10. H-6 showing

clay-dominated sample. H-7 here representing dendritic-fractured silt-rich samples. H-8

represents a bioturbated calcareous silt-rich unit. H-9 shows images from the wavy

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laminated bioclast-dominated unit. H-10 represents bioturbated bioclast- and silt-

dominated unit. .......................................................................................................................................... 278

Figure 5.7: Inter-particle framework pores showing (A), inter-granular pores (arrows)

in pressure shadows between calcite and kaolinite; (B) inter-granular elongate slit-like

pores (arrows) occurring around a bent muscovite grain; (C), inter-crystalline slit-like

pores in between kaolinite sheets and shadow pressure pores (arrow) preserved

between grain; (D) inter-crystalline pores hosted by illite minerals between quartz

grains. (E) and (F) show pores hosted in pyrite framboids ..................................................... 280

Figure 5.8: Examples of identified intra-particle pores in the studied samples. Calcite

hosted dissolution intra-particle pores observed in calcite-cemented shells and cavities

outlined in (A) & (B). SEM image (C) is a zoomed in section of calcareous shell

magnifying the morphologies of intra-particle pores. Dolomite crystals are shown in (D)

also host intra-particle pores ............................................................................................................... 281

Figure 5.9: High-resolution SEM showing non-porous organic matter occurrences (OM).

(A) & (B) Wavy and elongate organic matter lamellar. (C) Bituminous patch under back-

scatter emission and (D) same region under secondary emission. (E) & (F) shows pores

around pore walls of organic matter both under the secondary emission with (F) taken

from an ion-milled surface. ................................................................................................................... 283

Figure 5.10: Low-pressure N2 (77K) adsorption-desorption isotherms of samples H-1 to

H-10. Regions A1 and A2 demarcated at 0.5 P/Po, for calculating fractal dimensions of

monolayer adsorption regions (A1) and multilayer adsorption regions (A2). Isotherm

curves are apparently similar but significant variations can be observed in the volume

of adsorbed gas by samples at corresponding relative pressures. Higher values of

adsorption recorded in H-4 and lowest values in H-9 & H-10. Pie chart of bulk

mineralogy indicate control of mineralogy on isotherm behaviour. .................................... 285

Figure 5.11: Graphic illustration of pore network effects in adsorption measurements of

interconnected small (a, b), intermediate (c) and large pores (d) (adapted from Groen et

al. (2013). Pores (a) and (b) will empty at their corresponding low pressure during

desorption than needed for emptying pore (c). Since pore (d) can only empty via (c), it

will accordingly empty at a lower pressure empirically required. ........................................ 287

Figure 5.12: BJH pore size distribution (PSD) curves for samples H-1 to H-10 obtained

from N2 isotherms, displaying the volume (amount of gas adsorbed) occupied by

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various pore sizes (pore diameter) using the BJH Model. Calculated porosity data of

samples using bulk densities of quartz and calcite is also shown. ........................................ 288

Figure 5.13: Relationship between lnV and lnln(1/(P/Po) from the FHH fractal analysis

based on N2 adsorption isotherms. D1 is the fractal dimension values derived from the

slope (blue) of monolayer adsorption data (Region A1 of Figure 5.10), and D2 is the

fractal dimension derived from the slope (red) of multilayer adsorption data (Region A2

of Figure 5.10). ........................................................................................................................................... 292

Figure 5.14: FHH fractal dimension versus (A) average pore diameter and (B) total pore

volume. D1 (blue) uses fractal values of Figure 5.13 for monolayer adsorption, and D2

uses fractal values of Figure 5.13 for multilayer adsorption. .................................................. 293

Figure 5.15: Comparative statistical analysis of sample mineralogy in relative weight

percent (quartz:carbonate:phyllosilicate) and pore attributes .............................................. 298

Figure 6.1: Summary diagram of Hodder Mudstone facies distribution and the

correlative variation of reservoir properties. Bed thickness, porosity and TOC increases

distally, while brittleness are more pronounced in proximal areas. .................................... 346

Figure 6.2: 3D XCT image of rock volume (a) from a representative sample. Statistical

grey-scale pixel filtering is utilized to segment identified minerals as confirmed from

SEM images and EDS spectra; (b) shows carbonate mineral distribution caused by the

presence of skeletal debris in a fine-grained muddy matrix. Fragments are mostly from

crinoids, bivalves, brachiopods, gastropods, foraminifers and calcareous algae.

Intraparticle pores may exist within carbonate grains. (c) shows pyrite distribution.

Framboidal pyrite hosts inter-crystalline pores between microcrysts. (d) represents

organic matter particles which are mostly secondary or migrated residual hydrocarbon

and bitumen. Pores in the samples could not be resolved from this data. ......................... 349

List of tables

Table 1: Mudstone mineralogy compiled from studies by Potter et al. (1980) and

Milliken (2014). ............................................................................................................................................ 67

Table 2: "Mudstone" terminologies taken from Stow (1981) and Lazar et al. (2015). .... 82

Table 3: Facies terminologies as given by Dean et al. (1985) ..................................................... 83

Table 4: Pore size classifications ............................................................................................................ 91

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Table 5: Weighted percentage mineralogical data from XRD bulk analysis. See Appendix

for raw data. ................................................................................................................................................ 179

Table 6: Summary data showing enrichment of redox sensitive trace elements and

ratios in selected Hodder Mudstone sample. Samples are mostly enriched in U and Mo

relative to average shale values .......................................................................................................... 184

Table 7: Pyrolysis and TOC values of selected samples from the Hodder Mudstone. .... 188

Table 8: Descriptive summary of core samples ............................................................................ 274

Table 9: Pore quantitative analysis of samples H-1 to H-10 .................................................... 288

Table 10: Unconventional reservoir assessment for prospectivity of the Hodder

Mudstone facies. ........................................................................................................................................ 345

Word count 88,950

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Abstract

Facies, Diagenesis and Pore Characterisation of the Lower

Carboniferous Hodder Mudstone Formation, Bowland Basin, UK

A thesis submitted to the University of Manchester for the degree of Doctor of

Philosophy in the Faculty of Engineering and Physical Sciences, May 2019

An understanding of the various controls in sediment deposition, burial processes and

deformation of rock strata is required in the adequate estimation and conversion of

hydrocarbon resources to reserves. In recent years, petroleum technology has evolved

enabling oil and gas production from organic-rich mudstones. Understanding the

distribution of organic and inorganic materials and how they relate to porosity

development in fine-grained rocks is critical in predicting the rock’s physical properties

and successful hydrocarbon production. This thesis presents sedimentological,

diagenetic and porosity characterisation of a potential UK unconventional shale gas

reservoir; the Hodder Mudstone Formation of the Bowland Basin. This unconventional

gas-bearing section is a ca. 900 m thick unit of organic-rich Viséan strata, primarily

comprising hemipelagic mudstones and thinly laminated calcareous turbidites deposited

on a carbonate ramp setting. A total of 1,679 m of continuous cores from 11 boreholes

have been logged and sampled for this study. For sedimentological facies

characterisation, 132 samples were selected for laboratory analyses after producing

graphic core logs and lithologic description. 50, oriented 30 µm thick, polished, thin

sections were further prepared from samples for optical and scanning electron

microscopy and electron probe microanalysis. Whole rock XRD mineral analysis of 76

samples was carried out and trace and major elemental analysis acquired from 67

samples to aid provenance and diagenetic study. To understand the organic matter

properties and maturity, the total organic carbon content of 30 representative organic-

rich core samples were determined. Bulk pyrolysis was also performed on the same

samples and maturity data estimated from the pyrolysis data. These datasets were

further combined with digital image analysis of pore structure and quantitative porosity

measurements from nitrogen gas adsorption to characterise pores and evaluate the

relationship between mineral distribution and the physical properties of associated

pores. Results from these studies show that the succession comprises gravity flow,

calciclastic sediments. Recognised facies were grouped into calciturbidites, densite

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mudstones and calcidebrites. Calciturbidites comprise mostly of high- to low-density,

wavy-laminated bioclast-rich facies. Low-density densite mudstones are characterised

by planar laminated and unlaminated mud-dominated facies. Calcidebrites are

comprised of muddy or hyper-concentrated debris-flow deposits occurring as poorly-

sorted, chaotic, mud-supported floatstones. These facies were deposited in a tectonically-

controlled submarine fan setting. Primary sedimentary comprised intrabasinal skeletal

debris, microscopic biogenic detritus and extrabasinal silt- and clay-sized siliciclastic

(quartz and muscovite) detritus. Constituent diagenetic minerals include calcite, siderite,

dolomite, ankerite, quartz, kaolinite, pyrite and marcasite with minor phosphate and

chlorite. Samples show organic richness of 1.5% present day TOC, and maturation

analysis reveals an oil to gas widow mature source rock. The textural fabric of analysed

samples shows significant diagenetic overprinting with a high abundance of authigenic

carbonate and silicate minerals. Mineral authigenesis and precipitation were localised

and controlled by primary constituents and the mobility of minerals. These changes

affected the evolution and preservation of inter- and intra-particle pores within the

studied samples. Inter-particle pores dominate argillaceous (>50% tectosilicates and

phyllosilicates content) samples while intra-particle pores control porosity in calcareous

(>50% carbonate content) samples. The calculated average porosity of calcareous

samples is between 3.6 – 4.4 % while in more argillaceous samples is between 5.6 – 6.8

% porosity. The results from this research have allowed for the first time, the evaluation

of submarine density flow deposits of the Viséan Bowland Basin succession. It has added

a layer of knowledge on the mineral fabric, organic matter and diagenesis within a range

of Hodder Mudstone facies. This will significantly enhance the understanding of reservoir

quality in this potential shale play. The control on pore distribution and quartz diagenesis

in the Hodder mudstones highlighted in this thesis has implications in the mechanical

properties of the Hodder Mudstone as a target for hydraulic fracturing.

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Declaration

No portion of the work referred to in the thesis has been submitted in support of an application for another degree or qualification of this or any other university or other institute of learning.

Copyright statement

i. The author of this thesis (including any appendices and/or schedules to this thesis) owns certain copyright or related rights in it (the “Copyright”) and he has given The University of Manchester certain rights to use such Copyright, including for administrative purposes.

ii. Copies of this thesis, either in full or in extracts and whether in hard or electronic copy, may be made only in accordance with the Copyright, Designs and Patents Act 1988 (as amended) and regulations issued under it or, where appropriate, in accordance with licensing agreements which the University has from time to time. This page must form part of any such copies made.

iii. The ownership of certain Copyright, patents, designs, trademarks and other intellectual property (the “Intellectual Property”) and any reproductions of copyright works in the thesis, for example graphs and tables (“Reproductions”), which may be described in this thesis, may not be owned by the author and may be owned by third parties. Such Intellectual Property and Reproductions cannot and must not be made available for use without the prior written permission of the owner(s) of the relevant Intellectual Property and/or Reproductions.

iv. Further information on the conditions under which disclosure, publication and commercialisation of this thesis, the Copyright and any Intellectual Property and/or Reproductions described in it may take place is available in the University IP Policy (see http://documents.manchester.ac.uk/DocuInfo.aspx?DocID=24420), in any relevant Thesis restriction declarations deposited in the University Library, The University Library’s regulations (see http://www.library.manchester.ac.uk/about/regulations/) and in The University’s policy on Presentation of Theses.

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Dedication

To the creator of life and the author of wisdom, the eternal God.

In the blessed and loving memory of my father

Samuel Ogbonna Ohiarah

(1954 – 2017)

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Acknowledgements

The studies presented in this thesis would not have been possible without my

supervisors. I wish to place on record my sincere thanks to my lead supervisor Prof. Kevin

G. Taylor and Dr Patrick J. Dowey my second supervisor for giving me the opportunity of

working with you. Your valuable suggestions, guidance, criticism, comments and

encouragement made my work productive. As stated by John F. Kennedy that “as we

express our gratitude, we must never forget that the highest appreciation is not to utter

words, but to live by them"; the exemplary qualities you have shown me, may I extend to

others. All the students and staff (academic and non academic) of the University of

Manchester are thank for their support through out my study years here in Manchester.

No words can express the depth of gratitude to my late father who through selfless love,

enduring sweat and unflinching trust in me sponsored my education till PhD level. He

bent over backwards for me. His sacrifice I cannot repay, but may I live to remember his

life and show same self-sacrificing love to my loved ones.

To my mum and siblings (Nnamdi, Chibueze, Chima and Ogechi), if I tried to tell you how

much I appreciate you, I would be talking for the rest of my life. You all have been

awesome. I could not have asked for more. Your love, prayers, and moral and emotional

support are inestimable. How truly I desire to give back to you. I am also grateful to my

other family members who have supported me along the way.

To my wonderful Seventh-day Adventist family members dotted around the globe

including those I met at Adventist Students events and societies. May God bless the days

I met each one of you. No act of gratitude can relay the extent to which your prayers and

friendship went in leading me to where I am today. Please accept this note as a token of

my heartfelt appreciation to you individually. A special mention goes to the NEC ASC

advisory team (Ps Ramdin, Chantal, Abi, Naomi, Kallie, Nat and Bonie) for your inspiration

and cheer.

The journey of a PhD student will be a lonely and boring one without fellow wayfarers

through the rough and winding paths. With a special mention to Wumi, Sebastian, Milton,

Moh, Yusuf B., Yusuf A. (major), Dan, Jeff, Melissa, I will miss our noisy lunchtimes. It has

been real. Not forgetting other PhD students in the mix, you are all appreciated.

To the Back of House Team at Manchester United football club, Ridwan (boss), Martin,

Edrissa, Ahmed, Samy, Godstime, Julian, Clinton, you have treated me not just as a

colleague but as family. I thank you and the rest of the staff for your support and

understanding while I worked part-time with you all. I shall not forget your kindness and

friendship.

And to my girlfriend Caroline, no gift can represent what your encouragement and

support mean to me. There could not have been a better time to begin this journey with

you. I hope in some way, you realise how much you’ve meant to me. Thank you for being

a companion through the most difficult time of my PhD.

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The author

Timothy Ohiara holds a Bachelor of Science degree in Geology from Niger Delta

University, Nigeria. He graduated in 2010 after submitting a dissertation titled

“Interpretation of Resistivity Data from Orè, Ondo state Nigeria”. He went to on to do a one-

year national service where he served as a high school teacher in Esanma Grammar

School, Delta state Nigeria. Subsequently, he got admitted to pursue a Master of Science

degree in petroleum geoscience at The University of Manchester, UK. By 2013, he

completed his Master of Science degree with a distinction, best research poster

presentation and a dissertation titled “Petroleum System Modelling of the North Viking

Graben, Northern North Sea”.

Having a strong desire to pursue his career further, Timothy began his PhD studies in

petroleum geoscience and basin studies at the University of Manchester since September

2015. His interest focused on understanding the variability in organic-rich mudstone

succession. The results of this are documented in this thesis. During the past three and

half years, he has received training in optical and scanning electron microscopy,

elemental dispersive spectrometry and nitrogen adsorption data analysis. He has been

able to interpret XRD and XRF data. He has also gained skills in image processing and

analysis using Avizo and Matlab.

While undertaken his PhD research, Timothy has been involved with other roles

including:

Graduate teaching assistant at the School of Earth and Environmental Sciences,

University of Manchester (2015 – 2018)

The vice president for the AAPG student chapter at the University of Manchester

(2016 – 2017)

Widening participation fellow for the School of Earth and Environmental Science,

University of Manchester (2016 – 2017)

GIS data technical support, School of Earth and Environmental Sciences,

University of Manchester

Timothy has presented results of his research at several conferences and also won up to

$2700 in grants from AAPG, IAS and SEPM. He is a fellow of the Geological Society, London

and a student member of the AAPG, EAGE, IAS, SEPM and BSRG.

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Chapter 1 Introduction

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1 Introduction

Research rationale

Conventional hydrocarbon production in the oil industry classically results from

carbonate and coarse-grained (>63 μm) siliciclastic reservoirs. However, the decline in

the production of relatively “easy” and “accessible” hydrocarbons has spurred the

application of technologies to tight and cemented mudstones, which are loosely termed

shales (Schieber 2011b). Hydrocarbon deposits stored in mudstones are considered

unconventional resources due to the low-to-ultra low (<0.1mD) permeability and <15%

porosity of mudstones (Williams 2012; Jarvie 2014) and the technologies required for

production (McGlade et al. 2013). Production of gas from shales, however, is not an

entirely new paradigm as records have shown significant volumes of gas production from

organic-rich shales since the 1820s (Jarvie 2014). To enable economic production of gas

or oil, the flow properties of mudstones are artificially enhanced by inducing hydraulic

fractures that result in the production of free oil and/or gas retained in fine-grained

organic-rich mudstones (Rybacki et al. 2016). This technique is equally not a new process

as the concept of hydraulic fracturing for hydrocarbon production has been efficient in

conventional wells though in lesser magnitude than utilized in shale gas prospects (Jarvie

2014). Significant success has been achieved in shale exploration and production

especially in North America (Jarvie 2012a; McGlade et al. 2013). This paradigm has thus

spurred global interests, and economic investments are actively growing in various

countries including the UK (Soeder 2018).

Despite the advances in shale resource technology with a recorded high-energy

simulation of >60,000 wells (Jarvie 2014) and the rising economic importance in

unconventional plays, understanding lithologic variation, diagenesis and porosity

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distribution in organic-rich mudstones remains a challenge (Clarkson, Wood, et al. 2012;

Jarvie 2012a; Klaver et al. 2015). This is chiefly due to spatial heterogeneities in shale

properties and associated complex micro-pore structure (Pommer & Milliken 2015). The

projected potential of unconventional gas production still remains speculative with

respect to uncertainties over resource estimations and recoverability of resource. As the

development of shale resource is relatively expensive compared to conventional

hydrocarbon production, with widespread implications for energy, economic and

environmental policies, it necessitates efficient prediction of resource size and shale

petrophysical properties. The success of such predictions is dependent upon the

understanding of sedimentology, diagenesis, porosity and permeability distribution in

these rocks.

Lithologic heterogeneities from primary depositional components and diagenetic

mineral alteration are major controls on porosity and permeability (Slatt 2011; Kuila et

al. 2012; Bust et al. 2013; Kuila & Prasad 2013a). These heterogeneities vary from field

(outcrop) scales to microscopic scales well below log resolutions and demand physical

studies of rock samples in high resolution (Bust et al. 2013). The mineral composition of

fine-grained sediments can vary over an extensive mineralogical spectrum from

carbonate- to siliciclastic-rich. A number of active US shale resource plays are from

carbonate-rich mudstones (e.g. Eagle Ford Formation, Bakken Shale, Niobrara

Formation) and siliceous-rich (e.g. Barnett shale and Woodford shale), and are

dominated by complex pore types and pore geometries (Slatt 2011). Their pore

morphologies are controlled by the distribution of diagenetic-modified bioclasts, quartz,

clay minerals and interparticle cements (e.g. Milliken et al. 2007; Bustin et al. 2008; Kuila

et al. 2012; Bai et al. 2013; Lazar et al. 2015; Han et al. 2015; Milliken & Curtis 2016).

Questions still remain on what sedimentary and/or post sedimentary events controlled

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the variation of porosity, permeability and key mechanical properties (e.g. brittleness and

“fracability”) (Rybacki et al. 2016). Pore evaluation and successful prediction of lateral

reservoir properties distribution are akin to a comprehensive description of mudstone

succession into distinct facies within its sequence stratigraphic context.

Over the past decade, exploration activities and research for shale gas within ca. 5000 m

thick Viséan to Namurian age mudstone succession in the Bowland Basin have risen

significantly (e.g. Andrews 2013; Clarke et al. 2014; Clarke et al. 2018; Brindle et al. 2015;

Hennissen et al. 2017). In March 2019, Cuadrilla reported flow-testing results at a peak

rate of 200,000 standard cubic feet per day from the first horizontal shale well through

the Bowland Shale (EAGE 2019). This is considered an economic flow rate with a

potential of 3 to 8 million standard cubic feet per day upon completion. There is, thus, a

potential for economic production of gas from the Bowland Basin especially from the

actively explored Bowland Shales. Other formations within the basin, for example, the

Hodder Mudstone, are also considered to host technically recoverable shale gas

(Andrews 2013; Clarke et al. 2018). An understanding of the mineralogical composition

and distribution in these formations, the impact on authigenic and detrital minerals on

reservoir properties and the porosity variation are yet underexplored. These properties

have implications for reservoir mechanical properties and their understanding is vital in

the successful extraction of unconventional gas reserves from these formations.

The research documented in this thesis presents studies on the sedimentological,

diagenetic and porosity characterisation of a carbonate clastics- and siliciclastic-rich

shale gas reservoir prospect in the Bowland Basin, UK. The Carboniferous Bowland-

Hodder Shale unit in the Bowland Basin, northern England, is a carbonate-rich potential

UK shale gas play (Andrews 2013; Clarke et al. 2018). Studies presented in this research

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focused on the stratigraphically oldest unit of the resource play – The Hodder Mudstone.

The Hodder mudstone is Arundian (Lower Viséan) in age and forms the lower section of

the Carboniferous Bowland-Hodder Shale Gas play in the Bowland Basin (Andrews

2013). The lithology of Hodder Mudstone is predominantly medium to dark grey

hemipelagic mudstones with subordinate thin-bedded calcareous siltstones turbidites

(Riley 1990; Aitkenhead et al. 1992; Waters et al. 2009). It underlies the actively explored

Bowland Shales. Studies by Andrews (2013) and Clarke et al. (2018) have shown its

potential as a shale gas prospect but what is yet unclear is its sedimentological variability,

diagenetic evolution and the nature of pores within the formation. Very little is currently

known about the controls on mineral variability within the Hodder Mudstone and its

efficiency as a shale gas reservoir. Hence, the studies presented in this thesis address such

questions.

The Bowland Basin geologic setting

The Carboniferous geology of central Britain around the Pennines is comprised of a

network of complex fault-bounded basins and troughs with isolated highs (Gawthorpe et

al. 1989; Kimbell et al. 1989; Ebdon et al. 1990; Fraser et al. 1990; Fraser & Gawthorpe

1990; Fraser & Gawthorpe 2003). Basin formation was initiated during in the late

Devonian – Tournaisian times (Gawthorpe 1987). These were steep-sided, slowly-

subsiding blocks and intervening rapidly-subsiding troughs (Leeder 1982; Bott 1967;

Soper et al. 1987; Miller & Grayson 1982; Gawthorpe et al. 1989). They are reported to

have been controlled by dextral shearing (Arthurton 1984) and back-arc rifting (Leeder

1982) during the late Palaeozoic Variscan Orogeny. Fault-controlled subsidence within

these grabens, shaped sedimentation as thick hemipelagic muds and clastic sediments

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were deposited in the troughs with relatively thin carbonate platforms on concomitant

highs (Aitkenhead et al. 1992; Fraser & Gawthorpe 2003).

The Bowland Basin represents part of the several sedimentary basins on half-graben

structures formed in North England during the Carboniferous (R. L. Gawthorpe 1987;

Aitkenhead et al. 1992). The Basin also referred to as Bowland Trough (Waters et al.

2009) or Craven Basin (Fewtrell & Smith 1980; Aitkenhead et al. 1992; Fraser &

Gawthorpe 2003) is located in Lancashire, north-western UK. It is a NE – SW – oriented

half-graben tilting to the south and is structurally bounded to the north by the Bowland

High (Gawthorpe 1986; R. L. Gawthorpe 1987), Lake District Massif (Grayson & Oldham

1987) and the Askrigg Block (Hudson 1933; Gawthorpe 1986) (Figure 1.3). The southern

boundaries are the Pennine/Pendle Fault (Fraser & Gawthorpe 1990) and the Central

Lancashire High (Miller & Grayson 1982).

1.2.1 Palaeogeography

The British Isles were located within the equatorial belt at the close of the Devonian.

Central Britain lay in the foreland/back-arc terrain of the Laurasian continent and

associated rift basins were forming due to extensional tectonics (Leeder 1982; Leeder

1988). The Lower Carboniferous era was globally marked by extensive carbonate

platforms on uplifted fault blocks in the equatorial epicontinental seas (Wright 1994;

Menning et al. 2006; Dean et al. 2011). Ramp carbonates and marine hemipelagic

sedimentation dominated Britain’s intra-Carboniferous Basins (Riley 1990; Gawthorpe

1986; 1987; Aitkenhead et al. 1992; Fraser & Gawthorpe 1990; Waters et al. 2009; Dean

et al. 2011).

The facies mosaic of the Bowland Basin documents a basin-wide and intra-basinal

asymmetric depositional sequence (R. L. Gawthorpe 1987). Sedimentation was governed

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by the rate of subsidence and thermal sagging, recurrent vertical movement and faulting,

and eustatic sea-level change (Aitkenhead et al. 1992). Muddy open marine environments

prevailed at this time with occasional turbidity currents (Aitkenhead et al. 1992). Shallow

marine fauna and flora thrived yielding high hates of carbonate sediment production and

transportation of sediments from marginal shelf areas and uplifted footwalls (Aitkenhead

et al. 1992). The climate became wetter with the movement of the continents to higher

latitudes and deltas became more prominent bringing coarse terrigenous sediments to

the basin by the end of the Viséan (Aitkenhead et al. 1992). Towards the climax of the

Hercynian orogeny, eustatic sea-level generally increased drowning the deltas and

terminating sand deposition (Figure 1.1). By the end of Carboniferous, a compressive

movement had initiated, giving rise to regional uplift, folding and termination of sediment

deposition (Aitkenhead et al. 1992; Fraser & Gawthorpe 2003).

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Figure 1.1: Palaeogeographical reconstruction for the Carboniferous of southern Britain. Maps adapted from Dean et al., (2011). AlB- Alston Block; AsB- Askrigg Block; CB- Craven Basin/Bowland Basin (red boxed); CH- Cheviot High; CuB- Culm Basin; DB- Dublin Basin; LH- Leinster High; ML–D-Manx-Lake District High; MV- Midland Valley; NT- Northumberland Trough; RB- Rossendale Block; SB- Shannon Basin; SUH- Southern Uplands High.

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1.2.2 Stratigraphy

The sequence stratigraphic scheme of the UK’s northwest region based on regional

seismic reflection data and biostratigraphy shows three mega tectonostratigraphic units

(Fraser & Gawthorpe 1990; Fraser & Gawthorpe 2003). These three mega sequences

from the Late Devonian to Early Permian periods are (1) syn-rift; (2) post-rift and (3)

inversion sequences. They are further split into a series of lithostratigraphic sequences

grading from localised basal syn-rift alluvial/fluvial clastics to shallow/deep water

hemipelagic sequences and carbonates, a post-rift clastic fluviodeltaic sequences and

adjacent molasse in inverted synclinal basins (Figure 1.1).

Nine different depositional lithofacies association from these sequences have been

recognised in the Carboniferous of Britain of which six are documented in the Bowland

Basin located on the western margin of northern England (Dean et al. 2011). These facies,

adopting the regional Western European chronostratigraphic stage nomenclature are:

Late Devonian to Tournaisian continental and peritidal facies.

Tournasian to Viséan Open marine platform and ramp carbonate facies.

Viséan hemipelagic facies.

Fluviodeltaic facies, known as the “Millstone Grits” of Namurian to

Westphalian age.

Westphalian Fluvio-deltaic facies (“Coal Measures”).

Westphalian to Stephanian Alluvial facies (“Barren Measures”).

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Figure 1.2: Summarised mega sequences and stratigraphic column of the Lower Carboniferous UK East Midlands as modified from Fraser and Gawthorpe (1990), Waters et al. (2009) and Waters et al. (2011). Global chronostratigraphy follow Gradstein et al. (2012) and regional stages and substages taken from Holliday and Molyneux (2006). Miospores and Ammonoids biostratigraphic zonation follow Waters et al. (2009) and Waters and Condon (2013). Bowland Basin lithostratigraphic column and nomenclature around Bowland Forest adapted from Waters et al. (2009).

1.2.2.1 Late Devonian to Early Carboniferous

Precedent to the early Carboniferous lithospheric stretching of British/Irish Hercynian

foreland and basin formation, sediment deposition began in the Bowland Basin by the

late Devonian period (Fraser & Gawthorpe 1990). No sedimentological data has been

retrieved from the basement presently; however, the oldest proven sediments are of

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Courceyan age (Charsley 1984; Fraser & Gawthorpe 2003) which correlates with the top

oldest sequence (EC1b) of Fraser and Gawthorpe (1990) in the area (Figure 1.2).

1.2.2.2 Carboniferous

The Bowland Basin-fill constitutes mainly of Tournaisian to Stephanian carbonates and

clastic lithofacies developed by the interplay of glacio-eustatic sea-level fluctuations and

tectonic events (Aitkenhead et al. 1992; Fraser & Gawthorpe 2003). Due to regional

progressive uplift within the Pennines, post-Carboniferous sediments are not preserved

in the Bowland Basin sequence (Aitkenhead et al. 1992).

In the Tournaisian stage, the Bowland Basin lay south of the eroded Caledonian mountain

belt and was consequently sediment-starved at this time due to the distal proximity from

the uplifted mountain (Fraser & Gawthorpe 1990). Surrounded by carbonate platforms

on structural highs, mudstones, siltstones and detrital limestones were deposited under

shallow to deeper (>200 m depth) water condition in the trough from Tournaisian to

Early Viséan stage (Aitkenhead et al. 1992; Fraser & Gawthorpe 2003). Shallow water

carbonate allochems were transported from proximal inner ramp to distal portion of

adjoining carbonate ramps forming argillaceous packstones and wackestones (Charsley

1984; Gawthorpe et al. 1989). With regional thermal subsidence in the Viséan stage, a

transgressive depositional regime succeeded with the development of drowned

carbonate platform and thick hemipelagic mudstone-dominated lithofacies intercalated

with externally sourced carbonate sediments towards the basin floor (Aitkenhead et al.

1992).

Due to an onward establishment of fluvio-deltaic conditions across most of central

Britain, Namurian to Westphalian-C sediments comprise mostly of clastic fluvio-deltaic

sequences (Gawthorpe 1986). This clastic lithofacies marked the end of the thermal sag

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phase of extensional subsidence in Northern Britain and a truncation in depositional

sequence by pulses of the Variscan Orogenic events (Fraser & Gawthorpe 1990). The

resultant inversion of all major hanging walls of initial syn-rift half grabens caused

peneplanation and deposition of Permo-Triassic molasse sediments on adjoining

intermontane synclines (Fraser & Gawthorpe 1990; Fraser & Gawthorpe 2003). These

post-Carboniferous molasses unconformably overly the Mid-Dinantian sediments in

various regions (Earp et al. 1961).

Research aims

The aims of this research are to characterize the Viséan (Arundian) aged Hodder

Mudstone within a sedimentological and stratigraphic context, explore its paragenetic

evolution and investigate the pore types, size distribution and controlling factors. By

using a facies approach within the context of sediment gravity flow deposition, a review

of the sedimentary processes responsible for deposition of the mudstone is explored.

Secondly, this research extrapolates the nature and timing of mineral cements, and

finally, it aims to characterize pore structures and quantitative values within the

succession and subsequently explores the implication of these results to hydrocarbon

exploration. In a broader context, this research aims to understand the evolution and

controls on porosity in mixed calciclastic and siliciclastic mudstones.

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Figure 1.3: Location map of the study area (a) highlighting major bounding fault lines and study area. Map adapted from Evans and Kirby (1999). Borehole location of core samples in (b) map taken from Google map data ©2019 Google. Borehole selection based on the presence of argillaceous mudstone beds.

Research objectives

There are three main objectives for this thesis:

I. To characterize sedimentary facies and understand depositional controls of

the studied succession: Earlier studies had developed different depositional

models for the Bowland Basin (Gawthorpe 1986; Newport et al. 2017).

However, owing to recent advances in carbonate clastic deposition, several

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questions still remain unanswered in regards to processes in sediment

deposition. The understanding of these processes aids in the adequate

prediction of laminae- to bed-scale facies variation. Using core and thin section

data, this study sets out to highlight the sedimentological evidence for

submarine fan systems within the units of a mud-rich calciclastic succession.

It further reviews the depositional processes responsible for the distribution

of facies in a current context of sediment gravity (density) flow deposits.

Finally, it produces a conceptual depositional model for the mud-rich

calciclastic facies of the Lower Carboniferous Bowland Basin.

II. To evaluate diagenetic processes and their impact on rock properties:

Diagenesis plays a crucial role in the modification of rock properties especially,

porosity and mechanical behaviour. This thesis examines evidence from high-

resolution petrography (ultra-violet light microscopy, SEM), mineralogy

(XRD) and geochemical data (XRF, EDS, EPMA, RockEval pyrolysis) to

understand and characterise the diagenetic events of the Lower Carboniferous

Hodder Mudstone succession. It interprets the paragenetic sequence and the

resulting minerals and textures within the Hodder Mudstone. Lastly, it argues

the abundance of authigenic quartz cement as an integral component in these

rocks and discusses the likely origin, geological controls and timing of

authigenic quartz.

III. To produce qualitative descriptions and quantitative data analysis on

mudstone porosity: Another study documented in this thesis is the

characterisation of pore structure and pore size distribution from

representative facies of the Hodder Mudstone using nitrogen adsorption data

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and SEM imaging. It further explores the relationship between porosity

variability and mineral compositions.

Dataset and methodology

Borehole rock samples were recommended for sampling over outcrop samples due to

instability of mud rich beds on outcrops. Core samples yield adequate mudstone sample

quality for valuable petrographic information. Regional studies of Bowland Basin

evolution were conducted, and 11 onshore borehole cores were idneitified that best

suited the objectives of the study. The selected borehole cores are shallow (< 300 m depth

from top soil) borehole cores recovered from solid mineral exploration boreholes (Marl

Hill Moor (MHD) boreholes) located in Whitewell towards the southern margin of the

Forest of Bowland (53°55´0.66´´N, 2°30´26.33´´W) (Figure 1.4). Boreholes were drilled

around the uplifted anticline of the basin and penetrated from topsoil through underlying

Namurian to Viséan age strata (Aitkenhead et al. 1992). Borehole selection was

contrained by the presence of thickly bedded argillaceous bed and limestone interbeds

to present a representative stratigraphy of the Viséan succession. This selection aided the

understanding of stratigraphic and lateral variation of studied rock properties. Samples

were chosen at irregular intervals following lithologic variation and defining facies and

diagenetic features (e.g. lithologic boundaries, planar laminations, nodular stuctures).

Due to brittleness of mud-rich samples during mechanical sample preparation, sampling

frequency was higher at argillaceous units. Sampled boreholes included MHD1, MHD2,

MHD3, MHD4, MHD5, MHD8, MHD9, MHD11, MHD12, MHD13 and MHD18 (Figure 1.3).

Core logs, sample points and analyses carried out on each sample are presented in

Appendices 1 and 2.

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A workflow for this thesis as shown in Figure 1.4 was adopted. Core description and facies

analysis were undertaken on samples utilising thin sections scans and optical and

scanning electron microscopy. X-ray diffraction (XRD) and X-ray fluorescence (XRF)

analyses were further utilised respectively for bulk whole-rock mineral analysis and

elemental analysis of both major and trace elements. TOC and rock-Eval data were

acquired to understand hydrocarbon potential and organic matter maturity. SEM

microphotographs from mechanically polished thin-sections and focused ion beam

milled sections were digitally analysed for pore characterisation. A further quantitative

pore analytical study was carried out using nitrogen gas adsorption technique to

characterise pore volume, size, surface area, roughness and pore size distribution (0.3

nm to 300 nm sized pores). An attempt was also made for high-resolution 3D imaging of

samples using 3D X-ray computed tomographic data of 1cm3 sample for 3D pore

characterisation.

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Figure 1.4: Thesis logical workflow from literature review, data collection and analyses and final research output

1.5.1 Core description, logging and sampling

Core logging and visual hand specimen description of 1.6km of continuous core from 11

boreholes were carried out at the BGS core repository, Keyworth, Nottingham, UK. The

formation-tops of the succession of interest (Arundian mudstone succession) were

identified using the lithologic and biostratigraphic log results of Aitkenhead et al. (1992),

Riley (1993), Waters et al. (2009) and Waters & Condon (2013) (Figure 1.2). Sampling

was aided by the identification of rock lithologies and sedimentary structures, surface

lustre, visible mineralogical changes, macro-fossil biota, concretions and other diagenetic

features. One hundred and thirty-one rock samples (Appendix) were collected measuring

about 20 – 40 cm3 each in size.

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1.5.2 Optical thin section petrography

A total of 50 polished thin sections perpendicular to bedding were acquired from 41

depth points. Thin sections were scanned utilizing a Kodak esp 1.2 scanner at 1200 dpi

resolution for colour variations and structures. Petrographic analysis was undertaken

using Nikon Eclipse E200 ultraviolet polarized light microscope at the University of

Manchester. Optical thin section petrography revealed grain sizes, mineral components

of sand- and silt-sized grains. Bioclast fauna, trace fossils, cements and matrix

composition were also characterised. Constituent minerals were distinguished using the

distinctive optical properties (e.g. extinction angle and pleochroism). Photomicrographs

of samples were also taken at low and high magnification in plane polarised light (PPL)

and cross polarised light (XPL). This data enabled the description of facies in Chapters 3,

4 & 5.

1.5.3 SEM microscopy

Subsequent to optical microscope examination and identification of defining

petrographic features and grain size same samples were selected for SEM description

while avoiding duplicates. These samples were also adequate to visualization of pore

structure. These selected polished thin sections were carbon-coated and analysed using

the Philips XL30 FEG Environmental Scanning Electron Microscope (ESEM) equipped

with an energy dispersive x-ray spectrometer (EDS) analyser. 9 nm thick conductive

coating of carbon was applied on polished thin sections to limit surface charging.

Acquired SEM images provided two-dimensional, topographic scanned images of various

signals (radiations) across the sample surface as a primary electron beam interacts with

the sample (Welton 2003; Huang et al. 2013). The beam settings for this research were

set to 15kv acceleration voltage, with 10 mm working distance, a spot size of 4 and mostly

in back-scattered electron emission (BSE) mode. BSE emissions take off at angles

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favourable for analysing compositional variability and crystalline structure of ~5nm

resolution (Huang et al. 2013). SEM imaging offered a direct visualization and

measurement of rock microstructure to a practical resolution of 5 nm. This technique has

proven effective in mineral and pore characterisation of unconventional reservoirs (e.g.

Nole et al. 2016; Milliken & Curtis 2016). A focused ion beam surface milling was

attempted on one representative sample due to a perceived inadequacy of mechanically

polished samples in visualizing organic matter associated pores (Loucks et al. 2009).

Surface polishing on uncovered 5 mm2 chip was done using a dual beam FIB (Nova 600i,

FEI) at the School of Materials, University of Manchester. A conductive coating of carbon

was also applied to limit surface charging during SEM imaging. Data from this technique

are shown in the three results chapters of this thesis (Chapters 3, 4 & 5)

1.5.4 Micron-scale mineral mapping and SEM cathodoluminescence

Digital X-ray mineral mapping was employed in this research using a JEOL JXA-8530F

Field Emission Electron Probe Microanalyzer (FE-EPMA) located in the School of

Materials, University of Manchester. The apparatus is equipped with a Field Emission

Scanning Electron Microscope (FE-SEM), wavelength-dispersive spectrometer (WDS)

and a JEOL panchromatic cathodoluminescence (CL) system fitted with a NIR filter (for

monochromatic image output of CL signals). The beam was set to run on 20 KV

accelerating voltage and a beam current of 100 nA. Minerals of interest (Fe, Si, K, Na and

Mg) mineral maps were scanned simultaneously using the thallium acid phthalate (TAP)

crystal-fitted WDS. Ca and Al were mostly abundant and observed under EDS using the

SEM apparatus. Total image collection time per sample was approximately 6.5 minutes.

Collated images aided the evaluation of magnesium-rich carbonates grains and the

distinction of detrital and authigenic silica. This technique provides an opportunity to

relate CL intensities to intracrystal compositional changes especially in carbonate and

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quartz crystals (Martire et al. 2014). This data was essential for the diagenetic study

presented in Chapter 4 of this thesis.

1.5.5 Bulk X-ray Powder Diffraction

Semi-quantitative bulk mineral analyses were acquired from XRD analysis. XRD analysis

measures the minerals present within a sample (Stanjek & Häusler 2004). Solid

crystalline minerals exhibit specific diffraction patterns when they interact with X-rays

(Jenkins & Snyder 1996). Combined with other techniques (e.g. energy dispersive X-ray

spectroscopy) it allows the characterisation and semi-quantification of minerals within

the studied dataset. Seventy-eight samples were crushed using an agate pestle and

mortar to produce <65 µm sized aliquots. An internal standard XRD method at the School

of Earth and Environmental Science, University of Manchester was adopted which

involves taking 0.2 g of each powdered samples mixed with ~1ml of a volatile organic

solvent (iso-amyl acetate) to produce a slurry mount on a glass slide. Samples on glass

slides were air-dried and inserted into a Bruker D8 Advance Diffractometer. The

diffractometer is equipped with a Göbel mirror, a Lynxeye sensitive detector and an X-

ray tube emitting monochromatic CuKα1 X-rays with 1.5406Å wavelength. Scanning

mode for each step was set from 5°-70° 2Ɵ of diffracted beam, with a step size of 0.02°

and a count time of 0.2 seconds. Generated diffraction peak profiles were evaluated using

the EVA version 4 software, a software program for Bruker Diffractometer. These were

compared mineral standards from the International Centre for Diffraction Data (ICDD)

database. Quantitatively, peak intensities of minerals were measured from X-ray

diffraction data using the Bruker TOPAS software. The mineralogical data from this

technique aided the study on diagenesis (Chapter 4) and the impact of mineral

distribution in pore values (Chapter 5). The diffractograms of analysed samples are

presented in the Appendix.

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1.5.6 Major and trace elemental analysis

For major and trace elemental analysis, 12 grams of 67 crushed samples were prepared

for analysis. Samples were pelleted using a pneumatic press. Pelleted samples weighed

~15g (12g powdered sample and 3g of non-reactive wax binder) and analysed using

PANalytical Axios sequential X-ray Fluorescence (XRF) Spectrometer at the University of

Manchester. Element geochemical indices, especially trace metals, have been routinely

utilised in paleoredox environmental reconstruction and provenance studies (e.g. Jones

& Manning 1994; Böning et al. 2004; Tribovillard et al. 2004; Abanda & Hannigan 2006;

Tribovillard et al. 2006; Rimstidt et al. 2017; Haddad et al. 2018). The covariation of both

major and trace elements was examined in this study for the reconstruction of

paleoproductivity and paleoredox conditions. Quantitative data of major elements from

XRF analysis were acquired using the Malvern Panalytical’s XRF softwere suite (Omnian)

for 11 major elements Na, Mg, Al, Si, P, S, Cl, Ti, Ca, Fe and K in their respective oxide

species. The Pro-Trace element analytical software from Malvern Panalytical software

suite was utilised to determine net intensities of 35 trace-elements and 5 rare earth

elements in each sample. This data was effective in understanding early diagenetic redox

conditions for the diagenetic study presented in Chapter 4.

1.5.7 Total organic carbon and Rock-Eval

TOC data and Rock-Eval data were acquired from 2 g aliquots of selected samples based

on visual distinction of dark- to black-coloured samples from argillaceous units and

reference samples from carbonate-rich units. 30 visibly organic-rich samples were

analysed for TOC from which 12 representative aliquots of mainly darker, argillaceous

samples were taken for Rock-Eval analysis. Analytical procedures for both analyses

followed the Norwegian Industry Guide to Organic Geochemical Analysis (NIGOGA)

guidelines (Weiss et al. 2006). For TOC analysis, samples were crushed and analysed

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using the Leco method at Applied Petroleum Technology (APT), Norway. Samples were

initially treated with 10% (vol.) concentrated HCl acid to remove carbonate components

before being introduced to a Leco SC-632 combustion oven. Whilst an industry standard,

the sample preparation for TOC may not necessarily remove all carbonates (e.g. dolomite,

ankerite and siderite), hence measured TOC might be an overestimation. The amount of

carbon was determined by measuring the amount of carbon dioxide using infrared

detection.

Rock-Eval data was acquired using the HAWK apparatus also at the Applied Petroleum

Technology (APT), Norway. Jet-Rock 1 sample (a Norwegian Geochemical Standard

sample) was run intermittently as a standard and checked against the acceptable range

given in NIGOGA. This data provided information on generated and residual

hydrocarbons using the amounts of hydrocarbon and CO2 released per gram of sample at

reference temperatures (300 °C – 650 °C) under laboratory maturation (Espitalié et al.

1977). These proxies in conjunction with TOC data served as input values for the

determination of organic matter type, hydrocarbon source potential and quality (S1, S2

and S3 peaks), and source rock thermal maturity (Tmax). The information gathered from

these results aided diagenetic and pore analytical studies presented respectively in

Chapters 4 & 5.

1.5.8 Nitrogen gas adsorption

Gas adsorption on porous solids and powders (e.g. carbonaceous solids, zeolites and

siliceous materials) is a technique widely utilized for direct measurement of pore

properties and has been modified since Langmuir’s, and Brunauer, Emmett and Teller’s

(BET) theory (F. Rouquerol et al. 2013). Pore characterisation using this technique is

achieved by accurately measuring the amount of gas adsorbed on a solid material. Due to

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nanodarcy permeability of mudstones, crushing of samples enhances volume

measurement by facilitating the intrusion of low-pressure cryogenic gas in the pore

spaces (Luffel & Guidry 1989; Bertoncello & Honarpour 2013). Adsorptive gases

including Ar, CH4, CO2 and N2 are frequently used in their fluid phase on varying materials

depending on research interest (Groen et al. 2003). Sub-critical gas adsorption using

nitrogen gas has been successfully applied for quantitative characterisation of 0.3 to 200

nm size pores in mudstones and has been utilised in this study (e.g. Ross & Marc Bustin

2009; Kuila et al. 2012; Kuila & Prasad 2013a; Chalmers et al. 2012). For N2 adsorption

on mudstone samples, dry powdered samples are exposed to cryogenic liquid nitrogen at

a constant temperature of ~77.3K. At this temperature over relative equilibrium pressure

P/P0 (ratio of absolute equilibrium pressure and condensation pressure of N2 at room

temperature), nitrogen gas is adsorbed on the exposed particles. The volume of adsorbed

gas on the solid surface is measured while pressure is systematically increased until P/P0

= 1 (i.e. absolute pressure equals condensation pressure). Nitrogen gas adsorption

analysis for this research was carried out at University of Greenwich using a

Micromeritics 3Flex 3.01 surface characterisation analyser. Ten dry <40-mesh powdered

samples were degassed at 40 °C and exposed to nitrogen gas at constant cryogenic liquid

nitrogen temperature of ~77.3K (e.g. Kuila & Prasad 2013a). The data from this

experiment aided by specific mathematical models (e.g. BET theory, Harkins-Jura (HJ)

thickness equation and the Barret, Joyner & Halenda (BJH) technique) are applied to

produce different plots for the quantitative and semi-qualitative interpretation of pores.

Isotherm curves, hysteresis loops and the BJH-HJ pore size distribution curves are

derivative plots that provide a series of information on pore attributes nano-porous

solids. These are presented in Chapter 5 of this thesis. Isotherm curves provide a

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qualitative assessment of the porous structure of materials (Sing et al. 1985; Kuila et al.

2012).

Figure 1.5: An illustration of typical isotherm curves with adsorption branch (red) and desorption branch (green). Regions (i) representing the onset of microporous filling, (ii) monolayer filling and (iii) multilayer filling of pores

Six types of isotherm curves are identified by the IUPAC in gas-adsorption analysis – type

I to type VI (Sing et al. 1985). For clays, only three of these isotherms are applicable,

namely: type I, II and IV for samples dominated by micropores, macropores or non-

porous and mesoporous respectively (Kuila & Prasad 2013a) (see Section 5.1.2.4).

However, a type IIB isotherm curve has been proposed by Rouquerol et al. (1999) to

interpret a near-type IV match that has an absence of high relative pressure (P/P0)

plateau.

The appearance of hysteresis in isotherm curves is an indication of multilayer adsorption

and capillary condensation. Vapour condenses at about 0.4 P/P0 depending on the pore

diameter (Kuila & Prasad 2013a) as adsorption and desorption are being controlled

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“pore-body” sizes and pore throat (the smallest diameter of an irregular pore)

respectively (Mason 1982; Groen et al. 2003). The hysteresis phenomenon reflects the

irreversibility of physisorption in mostly mesopores during “filling” and “emptying” –

adsorption and desorption respectively, thus a loop is formed between them (Figure 1.5).

Hysteresis loops can exhibit gentle (normal) or forced closure, where the desorption

branch of the isotherm collapses onto the adsorption isotherm. A forced closure

(observed at ~0.4 P/P0) is attributed to “tensile strength effect” which reflects the

collapse of the hemispherical meniscus during capillary evaporation in pores with a

diameter of <4nm (Groen et al. 2003). Shape, size, and nature of closure within hysteresis

loops reveal predominant pore-size present in samples (Sing et al. 1985). IUPAC provides

four types of hysteresis pattern or loops- H1, H2, H3 and H4 (Sing et al. 1985).

The BJH-HJ pore size distribution (BJH-HJ PSD) is the application of the BJH pore size

distribution technique (Barrett et al. 1951) using the HJ thickness equation (Kuila &

Prasad 2013a). The BJH technique is based on the Kelvin equation which explains that

the surface curvature of the vapour-liquid interface (meniscus) has a significant effect on

the transition vapour pressure; hence, the pore diameter is related to the relative

pressure of gas condensation. The BJH-HJ PSD is then the partial volume of each pore

diameter obtained using the Kelvins equation to invert measured isotherm data of

samples while accommodating the effects of thinning of the adsorbed layer using a

thickness curve (HJ statistical thickness curve/equation). Pore diameter <1.7nm are not

resolved by the BJH as Kelvin equation is invalid in such pores (pore diameter being too

small for multi-molecular adsorption). Pore surface area (PSA) measurements are also

estimated from multimolecular adsorption. The PSA is determined by comparing results

from a single point surface area at P/P0 = 0.3, the modified BET analysis and a t-plot

micropore/external surface area derivative. The BET analysis is the conversion of the

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monolayer capacity of nitrogen molecules on external porous surfaces to the specific

surface area. A molecule of nitrogen has a cross-sectional area of 0.162 nm2 at 77.3K, the

average area occupied by each molecule after a complete monolayer (single layer)

adsorption is termed the monolayer capacity (Kuila et al. 2012). The BET technique is

applicable to pores exhibiting multilayer adsorption, hence for micropores (<2nm)

exhibiting micropore filling, the technique is not applicable. Rouquerol et al. (2007)

improved the adequacy of the BET analysis to measure surface areas on micropores, by

exploiting equivalent surface area from the BET plots.

1.5.9 X-ray computed tomography

High-resolution XCT technique or micro-CT involves the acquisition of three-dimensional

reconstructed images of samples from a series of two-dimensional image projections

(Blunt et al. 2013; Cnudde & Boone 2013). This technique allows for examining rock

texture, component volume fractions, grain size distribution and pore characterisation

(Cnudde & Boone 2013). A rock sample is rotated between an x-ray source and detector

from which a series of 2D radiographs are collected. Sample components attenuate the x-

rays by varying amounts based on the component density and atomic number. The

acquired 2D radiographs (over 1000 images) are then mathematically reconstructed into

a three-dimensional volume (computed tomography) (Feldkamp et al. 1984). For this

study, micro-CT data was collected on a representative sample at the Henry Moseley X-

ray Imaging Facility (MXIF), University of Manchester. Scanning was carried out on I mm

cube sample size using the Zeiss Xradia Versa XCT system. The sample was prepared by

extracting 1 mm slices of polished 1mm thick thin sections using a wire saw. X-ray

machine parameter was set to run at a voltage of 80kV and 7W power. Avizo 3-D

visualization software (FEI) was utilised for data visualization and analysis of the 3D

volume. This analysis, however, rendered a digital image volume with poor resolution

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unsuitable for micro-pore identification. The data generated was advantageous in

understanding mineral and organic matter distribution.

Thesis synopsis

This thesis is structured in Journal Format formally referred to as the alternative format

according to the standards of the University of Manchester. The thesis presented is

subdivided into 6 individual, yet, interdependent chapters.

Chapter 1 (this chapter) introduces the research rationale, aims and objectives. It also

introduces the study area, its geological setting and the scientific methods utilised to

answer highlighted research questions.

Chapter 2 follows with a comprehensive literature review on mudstone mineralogy,

sedimentation, depositional environments, mudstone diagenesis, facies schemes and

mudstone properties as unconventional reservoirs.

The succeeding three chapters address the research objectives developed in this thesis

(see Section 1.4). Chapter 3 presents a detailed facies characterisation of the Viséan

succession of the Bowland Basin. Chapter 4 explores the paragenetic evolution and

thermal maturation of the studied succession and Chapter 5 evaluates the porosity and

pore attributes of the Hodder Mudstone.

Chapter 6 summarizes, concludes and provides recommendations to be considered for

further study. An abstract of poster publication is contained in the Appendix

This order was designed to follow a logical sequence in line with the chronological

workflow developed for the research. Chapters 3, 4 and 5 are original studies,

observations, discussions and hypothesis presented as stand-alone papers for

publication. These papers include separate abstracts, introductions, geological settings,

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methods, results, discussions, conclusions and references. Therefore, some ideas,

discussions and references may be recurrent throughout the thesis. The results in these

chapters have also been presented separately at international conferences and

consortium meetings. Chapter 3 was submitted to the Journal ‘Sedimentology’ in late

2018, this was rejected due to major revisions with an invitation to resubmit at a later

date. These corrections have been made and the updated version is presented in this

thesis, ahead of resubmission to a different journal. Chapters 4 & 5 are currently being

prepared for journal publication. These research chapters are briefly summarised below.

Chapter 3: Mud-rich Calciclastic Facies in the Viséan submarine fans of the

Bowland Basin, UK. This uses core data and petrographic tools to highlight significant

stratigraphic and sedimentological features of a complex Carboniferous mud-rich

calciclastic turbiditic facies deposited in the Bowland Basin, north-western England. The

results show the distribution and variation of a calciclastic and muddy turbidite facies

sequence from the interaction of sea-level variations and extensional tectonics on a

distally steepened carbonate ramp.

Contributing authors: Kevin G. Taylor (main supervisor, manuscript review and

discussions) & Patrick J. Dowey (co-supervisor, manuscript review and discussions).

Major revisions from Journal of Sedimentology reviews, which included comments and

corrections from two reviewers (John J. G. Reijmer and an anonymous reviewer), the chief

editor – Peir Pufahl and the associate editor – Christian Betzler.

Publication status: In preparation for submission to the Journal of Sedimentary Research.

Chapter 4: Diagenetic evolution in the mixed carbonate- and siliceous-rich Hodder

Mudstone Formation, Bowland Basin, UK. This study presents evidence from high-

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resolution petrography (ultra-violet light microscopy, SEM), mineralogy (XRD) and

geochemical data (XRF, EDS, EPMA, RockEval pyrolysis) to understand and characterise

the diagenetic events of the Lower Carboniferous Hodder Mudstone succession. It also

argues the abundance of authigenic quartz cement as an integral component in the

Hodder Mudstone and discusses the likely origin, geological controls and timing of

authigenic quartz.

Contributing authors: Kevin G. Taylor (main supervisor, manuscript review and

discussions) & Patrick J. Dowey (co-supervisor, manuscript review and discussions)

Publication status: In preparation for submission to the Journal of Sedimentary Geology

Chapter 5: Pore Morphology and Nanopore Characterisation of the Hodder

Unconventional Reservoir, Bowland Basin, UK. In this study, a quantitative and direct

visual qualitative dual-scale approach is utilised to analyses pores of mudstone samples from

the Hodder Mudstone, Bowland Basin. It characterises the pore structure and pore size

distribution of representative Hodder Mudstone samples from varying depths and different

facies using nitrogen adsorption data and SEM imaging and links porosity variability to mineral

compositions.

Contributing authors: Kevin G. Taylor (main supervisor, manuscript review and

discussions) & Patrick J. Dowey (co-supervisor, manuscript review and discussions)

Publication status: In preparation for submission to the Journal of Marine and Petroleum

Geology.

References

Abanda, P.A. & Hannigan, R.E., 2006. Effect of diagenesis on trace element partitioning in shales. Chemical Geology, 230(1–2), pp.42–59.

Aitkenhead, N. et al., 1992. Geology of the Country Around Garstang. British Geological

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Survey Memoir for 1:50000 geological sheet 67 (England and Wales).

Andrews, I.J., 2013. The Carboniferous Bowland Shale gas study: geology and resource estimation. British Geological Survey for Department of Energy and Climate Change, London, UK.

Arthurton, R.S., 1984. The Ribblesdale fold belt, NW England—a Dinantian-early Namurian dextral shear zone. Geological Society, London, Special Publications, 14(1), p.131 LP-138..

Bai, B. et al., 2013. Rock characterization of Fayetteville shale gas plays. Fuel, 105, pp.645–652.

Barrett, E.P., Joyner, L.G. & Halenda, P.P., 1951. The Determination of Pore Volume and Area Distributions in Porous Substances. I. Computations from Nitrogen Isotherms. Journal of the American Chemical Society, 73(1), pp.373–380.

Bertoncello, A. & Honarpour, M.M., 2013. Standards for Characterization of Rock Properties in Unconventional Reservoirs: Fluid Flow Mechanism, Quality Control, and Uncertainties. SPE Annual Technical Conference and Exhibition.

Blunt, M.J. et al., 2013. Pore-scale imaging and modelling. Advances in Water Resources, 51, pp.197–216.

Böning, P. et al., 2004. Geochemistry of Peruvian near-surface sediments. Geochimica et Cosmochimica Acta, 68(21), pp.4429–4451.

Bott, M.H.P., 1967. Geophysical investigations of the Northern Pennine basement rocks. Proceedings of the Yorkshire Geological Society, 36, pp.139–168.

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Chapter 2 A Review on Mudstones

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2 A Review on Mudstones

Introduction

In terms of rock volume and recorded stratigraphic time, fine-grained (<62.5 µm) rocks

dominate the sedimentary record (Potter et al. 1980; Schieber 2003; Potter et al. 2005).

They may consist of <62.5 µm sized terrigenous silicate grains, calcareous debris and/or

open marine (hemi) pelagic sediments in varying proportions. In the literature, a wide

range of names are routinely applied to this rock type. “Mudstone”, “mudrock”, and

“claystone” are a plethora of names together with “shale” used in the literature to refer to

rocks having a mixture of clay and silt rock-fraction as the dominant (>50%) grain-size

(Potter et al. 1980; Stow 1981; Dean et al. 1985; Quine & Bosence 1991; Lazar et al. 2015).

Although the term shale implies fissility – a by-product of weathering resulting from the

preferential arrangement of individual phyllosilicate minerals (Lazar et al. 2015) – it has,

however, become a class-name widely used in the oil and gas industries for siliciclastic

fine-grained rocks with grain size <62.5μm. The ambiguity in nomenclature has been

elucidated by Twenhofel (1937); Tourtelot (1960); Pettijohn (1975); Blatt et al. (1980);

Stow (1981); Aplin et al. (1999); Macquaker and Adams (2003); Lazar et al. (2010);

Milliken (2014); Lazar et al., (2015), and is discussed further in the next chapter. While

this review seeks not to posit a suitable name for fine-grained rocks, if follows Tourtelot

(1960) and Lazar et al., (2015), who considered “mudstone” to be a generally accepted

‘class name’ for fine-grained siliciclastic rocks in preference to shale. Thus, the term

“mudstone” is preferred throughout this thesis, except where other terminologies have

been historically applied in formation names.

Mudstones due to their grain-size, high organic matter content and widespread

occurrence (Potter et al. 1980; Stow 1981; Blatt 1982; Aplin et al. 1999; Aplin &

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Macquaker 2011) are of utmost importance as they contain a useful amount of

stratigraphic information within sedimentary sequences (Blatt 1982). More so,

mudstones serve as hydrocarbon source rocks, reservoirs and seals, they host economic

metals and are useful long term storage of nuclear waste and carbon dioxide. Despite this

significance, mudstones have not been satisfactorily understood. Their mode of

deposition, diagenesis processes and their mechanical and petrophysical behaviour are

still being debated (e.g. Schieber 1999; Schieber 2011a; Aplin & Macquaker 2011;

Milliken & Day-Stirrat 2013; Taylor & Macquaker 2014; Lazar et al. 2015).

Mudstone mineralogy

The mineralogical compositions of mudstones are a function of provenance and

diagenetic history (Macquaker et al. 2007; Milliken 2014). Deposited sediments mostly

comprise materials from physical/chemical weathering, primary production in basins,

diagenetic overprinting, and other trace constituents (Table 1) (Garrels & Mackenzie

1971; Hillier 1995; Potter et al. 2005). Occasionally, there could be inputs from volcanic

ashes (Potter et al. 1980) and terrestrially derived organic matter (Tyson 1995). Grain

sizes exhibited by these constituents vary greatly as particles range from 0.1μm to

62.5μm, consequently increasing heterogeneity (Potter et al. 1980; Macquaker &

Gawthorpe 1993). Constituent minerals consist of a mixture of clay minerals (e.g.

kaolinite, smectite, illite and chlorite), micas, carbonates, quartz, feldspars, sulphides,

phosphates, amorphous materials and organic matter (Blatt et al. 1980; Potter et al. 2005;

Aplin & Macquaker 2011). Characterising the differing proportions of minerals in

mudstones and their origin is a precursor to achieving an understanding of the small-

scale to large-scale changes.

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2.2.1 Detrital (extra-basinal) components

Detrital grains are predominantly terrigenous or extrabasinal sediments deposited in

ocean basins by river systems (Hillier 1995; Wright 2001; Potter et al. 2005; Schieber

2016a). In few cases, provenance could be from volcanic ashes or aeolian dust (Potter et

al. 1980). Grains occur as detrital silt fraction (grain size 2μm – 62.5μm) of quartz,

feldspar, micas, lithic fragments and silicified algal cysts (Aplin & Macquaker 2011).

These are mostly resistant fractions of chemical weathering (Aplin & Macquaker 2011).

Clay minerals from chemical weathering with crystalline grain sizes below 2μm (e.g.

smectite, chlorite and kaolinite) also make up the detrital mineral volume delivered along

with resistant mineral detritus.

2.2.2 In-situ derived (intra-basinal) components

Mudstones also compose of sediments produced primarily from biological actions or

from diagenetic/authigenic processes. Diagenetic components are products of

neoformation (precipitation from amorphous silicate materials), transformation and/or

modification of originally deposited minerals. More stable components replace unstable

non-resistant minerals during diagenesis, e.g. amorphous silica to authigenic quartz and

smectite to illite (Peltonen et al. 2008). In various cases, fossilized remains of larger

organisms could be present, preserved either as a complete skeleton, in fragments or

replaced by mineral recrystallization, e.g. corals, echinoderms, gastropods, brachiopods,

mollusc, other vertebrates and unicellular organisms. In-situ derived components range

from carbonates (aragonite, calcite, dolomites, and siderites), sulphides (pyrite),

biologically derived phosphates and opaline silica to amorphous organic matter. These

components mostly act as cements in mature samples.

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SHALE MINERALOGY

MINERALS EXAMPLES ENVIRONMENTAL

INDICATION

OCCURRENCE RESPONSE TO

DIAGENESIS

FR

AM

EW

OR

K S

ILIC

AT

ES

Quartz

(Extrabasinal/

Authigenic)

Detrital Silica

(SiO2)

Microcrystalline

silica cement

Grain replacement

quartz

Detrital quartz grains

indicative of shoreline

proximity.

Diagenetic quartz reflects

pore water chemistry, burial

depth and temperature.

20%-30% present in average shale.

Small silt-size quartz crystals or as chalcedony

crystals.

Remains relatively

unchanged in mineralogy.

Noticeable quartz

overgrowth around grain

perimeter.

Feldspars Plagioclase

(Na/Ca- feldspars)

Orthoclase (K-

Feldspars)

Indicative of shoreline

proximity and provenance.

Plagioclase more abundant than orthoclase mostly

from authigenic processes.

Less abundant than quartz.

Replaced by clay minerals.

Zeolites Phillipsite

Clinoptilolite

Indicative of low-grade

metamorphism.

Mostly as altered products of volcanic glass.

Found in hypersaline lakes.

Occurs as prehnite at

temperature of about 90⁰C.

CL

AY

MIN

ER

AL

S

(PH

YL

LO

SIL

ICA

TE

S)

Kaolinite group Kaolinite

Dickite

Halloysite

Indicative of tropical and

subtropical weathering.

Good palaeogeographic

indicator as it occurs near

shore.

In soils associated with abundant rainfall, good

drainage and acid water.

Mineralogy relatively

unchanged.

Authigenic forms occur as

booklets that reduces

porosity.

Smectite group Smectite

(montmorillonite

and bentonite)

Provenance and shoreline

proximity.

Hydrated expandable mineral in many alkaline soils

Also derived from volcanic glass (as bentonites).

Smectite transforms to

Illite.

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Mica Group Illite

Muscovite

Glauconite

Vermiculite

Provenance and shoreline

proximity, and extent of

diagenesis.

Also shows thermal history

as a result of altered Illite.

Illite is the most abundant clay mineral found in

deeply buried shales in association with chlorite.

Muscovite is the coarsest clay mineral aligning on

bedding and lamination surfaces.

Glauconite is exclusively marine and very iron rich.

Forms from slow sedimentation.

Vermiculite is formed by weathering or

hydrothermal alteration of iron-bearing Mg-rich

biotite.

Illite transforms to

Muscovite with further

diagenesis.

Muscovite detrital grains

are unaltered and occur

with biotite.

Glauconite forms from the

substitution of Al3+ for Fe3+

in illite – glauconite

transformation.

Vermiculite transforms to

corrensite

Chlorite Group Chlorite

Corrensite

Chamosite

Rare in tropical and

subtropical soil as it is prone

to weathering.

Shows chronology.

Apparently, the second most abundant clay mineral

in post Palaeozoic shales.

Forms diagenetically with burial in magnesium-rich

pore-water.

Chamosite occurs mostly in oolitic iron ores.

Remains relatively

unaltered.

Mg-rich

Aluminosilicates Sepiolite

Attapulgite

Palygorskite

Exclusively saline lakes and

recent marine muds

associated with volcanic

activity.

Forms when pore waters are rich in Mg. Diagenetically unaltered.

OX

IDE

S A

ND

HY

DR

OX

IDE

S

Iron oxides and

Hydroxides Haematite (oxide)

Magnetite (oxide)

Geothite

(hydroxide)

Limonite

(hydroxide)

Shows differences in

oxidizing and reducing

environments –

paleogeography.

Haematite is the most common oxides.

Hydrous goethite and Limonite occur mostly as

hydroxides.

They occur as coatings on clay minerals.

In a more reducing

environment, the iron

coating is changed to

sulphides (pyrite) and iron

carbonates (siderite) as

concretions.

Gibbsite Gibbsite Extreme tropical weathering

and acid leaching.

Associated with kaolinite in marine shales as

derivatives of weathering.

Remains relatively stable

as bauxite.

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(Aluminium

Hydroxides) Bauxites Occurs as bauxite due to much weathering.

CA

RB

ON

AT

ES

Calcite Calcium carbonates

precipitated from

organism

Marine muds deposited

within the CCD (calcium

carbonate compensation

depth).

Common in marine shales than non-marine.

Could be deposited by turbidity current below CCD.

May dissolve or form

cement along pores.

Dolomite Magnesium

carbonates

Marine shales as in calcium

carbonates but a

replacement of Ca2+ by Mg2+

Common in marine shales than non-marine but no

direct link to occurrence with calcite.

May dissolve or form

cement along pores.

Ferroan

carbonates Siderite or ferroan

calcite

Ankerite or

ferroan dolomite

Paleogeographic

reconstruction in more

strongly reducing

environment.

Occurs mostly in concretion and as cementing

agent.

Siderite changes by

diagenesis to ankerite.

SUL

PH

UR

MIN

ER

AL

S

Sulphates Gypsum

Anhydrite

Barite

Indicative of hypersaline

environment both syn- and

post-deposition.

Occur as concretions in shales. Product of diagenesis.

Sulphides Pyrite or

marcasite

Indicating high reducing

conditions.

Abundant in marine shales than continental shales

as crystalline FeS2

May be altered to limonite

if environment turns

oxidizing.

OR

GA

NIC

MA

TE

RIA

LS

Terrigenous

organic matter Palynomorphs

Small coaly

fragments

Identifying proximity to

shorelines in Phanerozoic

shales.

Reflects thermal maturity of

basins.

Continentally derived sediments. Thermal alteration of

organic components.

Organic materials Sapropelic

Kerogen- Type I

Lipid-rich

kerogen- Type II

Indicating environment of

deposition.

Chronology.

Sapropelic kerogen is planktonic algal/amorphous

organic matter in lacustrine to marine environment.

Lipid-rich kerogen is mixed marine and continental

(phyto-and Zooplankton, spores and cuticles).

Organic matter

transformation in anoxic

environments

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Humic Kerogen-

Type III

Basin (maturation) history.

Level and nature of organic

input.

Humic kerogen- exclusively from terrestrial woody

matter.

Complex diagenetic

transformation

(catagenesis).

Organic allochems Graptolites, marine algal spores.

Biogenic carbonate

allochems Bottom dwellers

(benthos)

Water-column

dwellers

(Planktons)

Exclusively marine Benthos: Molluscs, foraminifera, echinoderms,

brachiopods, bryozoan, calcareous algae.

Planktons: nannoplanktons (coccoliths),

foraminifera, stylolinids, crinoids, cephalopods.

Mineralized test with

calcite.

Biogenic Siliceous

Allochems Bottom dwellers

(benthos)

Water-column

dwellers

(Planktons)

Exclusively marine Benthos: Sponge spicules.

Planktons: Radiolaria and Diatomaceous oozes,

silicoflagellate.

Test mineralization with

microcrystalline quartz

under increased pore-

water acidity.

Sediment

Aggregates Bottom products

(benthic)

Water-column

dwellers

(Planktons)

Exclusively marine (organic

and inorganic flocculation)

Benthic: pellets, fragmented biofilms and mats,

intraclasts, fragmented agglutinated skeletons,

remains of soft-bodied sediment injesters.

Water column: coprolites, pellets, organo-minerallic

aggregates (marine snow), floccules.

Compaction and

cementation of grains.

Phosphates Apatite

Vivianite

Indicative of phosphorous

rich environment mostly

reducing

Occurs mostly in marine mud from phosphatic

allochems, e. g. conodonts, vertebrate bones and

teeth.

Forms phosphatic nodules.

Relatively unchanged.

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Vivianite is an iron-bearing phosphate that occurs

in association with siderite in reducing

environment.

OT

HE

R C

ON

STIT

UE

NT

S

Lithic Fragments Fine rock

fragments

Close proximity to

weathered fragments.

Fine-crystalline metamorphic rocks.

Fine-crystalline volcanic rocks.

Fine-grained limestone and dolomites

Cherts.

Remains mineralogically

unaltered.

Volcanic glass Fragments of

rhyolites

(obsidian)

Associated with volcanism. Non-crystalline silica

Common in modern muds of either marine or

continental environments with volcanic influence

Transforms to zeolites or

smectites during burial.

Heavy Minerals Includes zircon,

rutile, tin oxides

and most minerals

occurring as

concretions

No restriction to region of

occurrence.

Could be generated anywhere but mostly

weathered from igneous origin.

Remains unaltered.

Table 1: Mudstone mineralogy compiled from studies by Potter et al. (1980) and Milliken (2014).

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Mud sedimentation

Mud is a name given for unconsolidated fine-grained sediments that has a full range of

dispersal mechanism and deposition which is still being explored (Macquaker et al.

2010). There is a growing amount of current literature on turbulent mud depositional

processes along river systems, shelf, slope channels and fan fringes as opposed earlier

assumption of quiet settling of mud particles (e.g. Schieber 2016b; Schieber 2016a;

Knapp et al. 2017; Yawar & Schieber 2017; van de Lageweg et al. 2018; Boulesteix et al.

2019). Mud sedimentation requires processes of erosion/production, transportation and

deposition. Early ideas suggest that relatively low energy water conditions aid mud

particles deposition, where particles are perceived to settle out of suspension (McCave

1975; Potter et al. 1980; Alexander et al. 1991; Kineke et al. 1996; Potter 1998). In this

mechanism, the prevailing sediment transport system is fluvial (Aplin & Macquaker

2011). Flocculation and pelletization of particles are the normal processes in mud

sedimentation that occurs by organic or inorganic processes (Krank 1973; Macquaker

and Bohacs 2007; Aplin & Macquaker 2011). Inorganic flocculation involves

electrophysical processes of the mutual attraction of minute electrostatically charged

clay flakes (Stow et al. 1996). It initiates as sediments delivered by rivers experience

change in water salinity, resulting in floccule formation along shorelines, and may range

from 10μm - 700μm (Potter et al. 1980). The change in salinity increases the

concentration of electrolytes, reducing the thickness of the double diffuse layers on

minerals (Kranck 1973; Kranck 1975; Aplin & Macquaker 2011). Organic flocculation

(pelletization) involves processes where zooplankton ingests small clayey particles and

excretes them as loose organically bound faecal pellets at the sediment-water interface

(Macquaker & Bohacs 2007). These biologically reworked organic aggregates and their

inorganic counterparts are termed “marine snow” by Silver et al., (1978); Lampitt (1985);

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Alldredge and silver (1998); Stow et al., (1996). These deposited aggregates form muddy

successions in packages (Aplin & Macquaker 2011). Conversely, individual differential

settling of grains is minimal as the rates of settling are not proportional to the dimension

of individual grains (Macquaker & Bohacs 2007). Clay particles can only exhibit

individual differential settling in very low energy aqueous environments, e.g. estuarine

(McIlroy 2004). As energy within the fluid is insufficient to keep the particles in

suspension, coarser particles with wider particle-diameter settle initially before finer-

grained particles. Sediments with grain size of <10μm are mostly deposited as ‘flocs’

while a grain size >10μm may remain as individual grains (Curran et al. 2002; Curran et

al. 2004; Warrick & Milliman 2003). Potter et al., (1980) suggests four different

suspension-settling patterns:

Mud aggregates settling and accumulating in ephemeral flood basins of rivers or

in temporary water bodies (dried up lakes).

Settling of individual particles one at a time in lakes, ocean and seas.

Suspended mud aggregates and pellets flocculated by the action of aquatic

organisms deposited in aquatic environments.

The settling of inorganically flocculated particles.

Recent findings (Macquaker & Bohacs 2007; Macquaker et al. 2007; Macquaker et al.

2010; Schieber 2011a; Talling et al. 2012) have shown that mud accumulation does occur

under higher-energy, wave- and current influenced conditions (e.g. advective traction

currents), as opposed exclusive quiescent suspension settling. Floccules can travel as

bedloads forming current ripples and laminated sediments (Schieber et al. 2007;

Schieber & Bennett 2013). Evidence of migrating ripples, localized erosion and

progressively fine-grained beds supports wave-influenced mud deposition (Macquaker

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et al. 2010). McCave and Jones (1988) earlier discovered the accumulation of ungraded

mud by the action of turbidity current as fluid mud. As turbulent flow decelerates,

turbulence is dampened and low-density increases resulting in the ‘freezing’ of high-

density, non-turbulent fluid mud (McCave & Jones 1988; Wright & Friedrichs 2006; Plint

et al. 2012; Talling et al. 2012). Thus, mudstones can be deposited under more energetic

conditions than earlier and widely assumed (Macquaker & Bohacs 2007).

Mud depositional environments

2.4.1 Shallow marine (muddy coastlines, continental shelves and slopes)

Shallow marine environments exist in pericontinental seas and epicontinental

seas/epeiric seas (Wright & Burchette 1996; Johnson & Baldwin 1996). Pericontinental

seas lie along continental margins, having a classic shoreline-shelf-slope profile while

epicontinental seas are restricted within continental areas with shallow shelf water

depth and could possess a shelf-slope profile in the deeper interior basin (Johnson &

Baldwin 1996). The continental shelf is found in the upper section of the shallow marine

profile exhibiting a gentle gradient of <1°, extending to a water depth of about 200m

(Johnson & Baldwin 1996). With normal marine salinities, continental shelves lie along

passive margins of continents, convergent margins and foreland basins. Shelf muds in

modern times are found in coastal accumulation, inner- to outer-shelf mud belts and

cross-shelf blankets (McCave 1972). Sedimentation patterns and facies distribution on

the shelves are controlled by the nature and origin of sediment supply, relative sea-level

fluctuations or rate of basin subsidence, biological and chemical composition within the

sediment-water interface, prevailing climatic condition and frequency/intensity of

storm-induced currents. (Alexander et al. 1991; Ogston et al. 2000; Friedrichs & Wright

2004; Bridge & Demicco 2008)

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Shelves may be tide-dominated, wave-dominated, storm-dominated or ocean current-

dominated (Bridge & Demicco 2008). Tide-dominated shelves make up about 17% of the

world’s shelf seas (Johnson & Baldwin 1996). They are found in epicontinental seas (e.g.

the North Sea), swept daily by sea tides and are characterised by constant seabed erosion

and transport. Mud accumulates in ‘mud zones’ at the turnover of tidal currents when

current velocity and wave activity are relatively low (Johnson & Baldwin 1996). Seasonal

fluctuations in wave and current intensities are the dominant actions in wave-dominated

(low-energy/low-frequency wave storm climates) and storm-dominated (high-

energy/high-frequency wave storm climates) shelves. They make up about 80% of the

world’s shelf seas found mostly in partially enclosed basins (Johnson & Baldwin 1996).

Ocean current-dominated shelves are persistently swept by unidirectional currents

generated in ocean basins, typical of a narrow pericontinental sea. About 3% of the

world’s continental shelves are ocean current dominated (Johnson & Baldwin 1996).

Mud sediments suspended in the fluid or nepheloid layers (near-bed or near-surface

concentrations) gets deposited either in areas of low energy conditions (mud zone)

within the continental shelf or across shelf regions into deeper water areas (Johnson &

Baldwin 1996; Bridge & Demicco 2008). Sediments are derived from either extrabasinal

sources (onshore), lateral offshore delivery, upward from bottom resuspension or

downward (near-surface organic layer) delivery (Johnson & Baldwin 1996). The mid-

shelf region tends to accommodate a greater percentage of the mud deposits (Nittrouer

& Sternberg 1981; McCave 1972). During periods of greater sediment supply, fine-

grained sediments supplied by onshore rivers spread across the shelf creating thick

muddy shelf successions (Swift & Thorne 1991); often characterised by variable

bioturbation (e.g. Amazon shelf).

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2.4.2 Deep marine basins

Three main environments of deep marine mud deposition have been identified – basin

floor, submarine fans (inner-, mid- and outer-fan) and slope aprons (Bridge & Demicco

2008). Muds found along slopes occur in mud-filled channels transported via dense fluid

muds, highly turbid flows from rivers and remobilised surface sediments from wave

action (e.g. Wright & Friedrichs 2006; Talling et al. 2012). Sediments that bypass the slope

accumulate on the basin floor (Aplin & Macquaker 2011).

Figure 2.1: Deep sea sedimentary processes for fine-grained sediments modified after Stow et al. (1996)

The complexity in the deposits of the deep marine is influenced by ocean currents

(surface and bottom) and gravity-driven flows (Bridge & Demicco 2008). Gravity flows

include turbidity currents, fluidized sediment flows, grain flows and cohesive debris

flows (Talling et al. 2012) (Figure 2.1). These particles deposited in the basin floor results

from three processes:

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Pelagic and hemipelagic settling: This result from biogenic materials produced

in the open seas settling on to the basin floor. Pelagic sediments have >75% of

biogenic components mixed with other constituents from dilute plumes of

terrigenous clay particles, volcanic ash and wind-blown aeolian dust. It is termed

hemipelagic when these non-biogenic components are greater than 25% (Stow et

al. 1996).

Semi-permanent bottom currents: This process involves the reworking of

sediments on the basin floor or slope edge by deep ocean bottom currents (e.g.

Macquaker & Bohacs 2007).

Sediment gravity (density) flow processes: Processes where sediments are

transported from shallower depths by turbidity currents and subaqueous slides

(Baas & Best 2002; Basilone 2017).

2.4.3 Lacustrine

Lakes are relatively low energy environments, favourable for mud suspension and

settling. Sedimentation patterns in lakes reflect lake water properties (density,

temperature, salinity, sediment concentration and water chemistry), shoreline

fluctuations and relative abundance of detrital/biogenic sediments (Talbot & Allen 1996;

Cohen 2003; Bridge & Demicco 2008). However, currents are responsible for sediment

circulation (Talbot & Allen 1996). They can be wind-driven, river inflows (deltas), littoral

warming or cooling and hydrographic slope currents from rivers (Talbot & Allen 1996).

Lake water can exhibit stratification, mainly seasonal/thermal stratification observed in

temperate lakes that occurs due to variation in temperature or salinity relative to

seasonal changes

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(Talbot & Allen 1996; Cohen 2003). In tropical lakes, stratification is a function of

prevailing wind patterns rather than temperature (Beadle 1981). Therefore, these

stratified layers reflect regions of overflows, interflows and underflow, which are

indicative of prevailing currents –surface currents, undercurrents and turbidity currents

respectively. Sediments are mostly fine-grained, rich in siliciclastics, carbonates, siliceous

deposits, iron-rich deposits, saline minerals (gypsum) and organic matter (Talbot & Allen

1996). Organic matter concentration in lacustrine sediments is mostly above average in

comparison with other sedimentary rocks; at approximately 1-5% and up to 40-50% in

exceptional circumstances (Talbot & Allen 1996). Based on the organic matter

productivity, lakes are classified into – oligotrophic and eutrophic lakes, the former

reflecting limited organic productivity (Cohen 2003). ”Oil shale”, a kerogen-rich

laminated mudstone remains an important lacustrine fine-grained deposit due to its

economical usage (Bridge & Demicco 2008).

2.4.4 Alluvial plains

Much of fine-grained deposits in river-dominated environments occur as overbank

deposits (flood plains and levees) (Bennett & Simon 2004). Some mud aggregates

transported as bedload can occur within channels or on distal terminal fans – point bars

of low energy streams (Ekes 1993). Other regions of mud accumulation are in abandoned

channels and extensive lakes in flood plains. Actions of debris flow, bedload, suspended

load and wind-blown processes deposit mud particles (Collinson 1996).

Debris flow: high-density cohesive sediment-water mixture. Debris flows may lose their

plasticity with increases in water concentration, thus, entraining sediments in suspension

(e.g. Talling et al. 2012).

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Bedload: clay-rich vertisols eroded as sand-sized aggregates in bed loads or fine-

grained aggregates transported by advective traction currents (e.g. Schieber et al.

2007; Schieber 2011a).

Suspended particles: Suspended fine-grained particles and aggregates in

turbulent fluid, deposited at the end of the river course (lakes and seas) or along

channels in overbank areas and fan surfaces (e.g. Baas et al. 2009).

Wind-blown: Mud-rich loess deposited by wind-blown dust from dried up

riverbeds and alluvial plains. Preserved sediments are seldom due to sediment

reworking by subsequent river flow (Collinson 1996).

Diagenesis

Diagenesis in mudstones begins with sediment compaction and reduction in pore volume

(Bjørlykke 1998; Milliken & Day-Stirrat 2013). Diagenetic processes create

physicochemical and mineralogical changes that modify the features of sediment after

deposition (Milliken 2003). Diagenesis can be early (shallow burial) or late (deep burial)

diagenesis, classified as ‘eogenesis’ and ‘mesogenesis’ respectively by Choquette and Pray

(1970). A third member – ‘telogenesis’ is included that occurs during tectonic uplift and

exhumation.

Soft mud, prior compaction, can have initial porosities of up to 50% (Bjørlykke 1999;

Boggs Jr. 2006; Bridge & Demicco 2008). Mechanical compaction and dewatering, over

the first kilometre of burial, characterize early diagenetic processes (Aplin & Macquaker

2011). Early diagenetic processes in mudstones are accelerated in comparison to

sandstones (Milliken & Day-Stirrat 2013). Depending on compositional variations,

mineralogical changes after deposition occur through the precipitation of new minerals

forming early diagenetic cements and concretions (Curtis & Coleman 1986; Huggett

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1994; Scholle & Ulmer-Scholle 2003; Peltonen et al. 2008; Taylor & Macquaker 2014).

Early diagenetic minerals include: iron sulphides (Rickard 1997; Raiswell & Canfield

1998; Taylor & Macquaker 2000; Macquaker et al. 2014), kaolinite (Bjørlykke 1998;

Taylor & Macquaker 2000; Peltonen et al. 2008), transformed amorphous silica (Opal A

to Opal CT) (Michalopoulos & Aller 2004; Behl 2011a) and carbonates (Milliken & Day-

Stirrat 2013). Lithostatic pressure builds as burial increases generating physical (e.g.

grain reorientation) and chemical changes (e.g. increase in pore water salinity)

(Bjørlykke 1998).

The late phase of diagenesis involves further mineralogical changes. As minerals attain a

chemical equilibrium within geochemical environments of sediment burial, diagenetic

events are dominated by mineral transformation, dissolution-reprecipitation processes

and direct mineral precipitation (Burley 1993). Precipitation and grain dissolution of

minerals which were relatively stable at surface conditions are altered partially or

completely replaced by more stable minerals (Nichols 2009). Various minerals behave

differently in response to increased temperature with depth. Hydrous minerals lose

water molecules to form denser, more stable minerals, silicate minerals dissolve at point

contacts, and carbonate minerals undergo precipitation except in cases where an

increase in pore water acidity (reduced pH) dissolves the carbonates (Peltonen et al.

2008).

Summarily, diagenetic actions/reactions in mudstones involve:

Compaction: Reduction in pore spaces and volume, flattening of soft grains or bending

in response to pressure, increased grain-grain contact and suturing (Nichols 2009;

Mondol et al. 2007).

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Cementation/dissolution: Variable cementation occurring as concretions and in pores

spaces in mud deposits include but not limited to carbonate cementation and/or

dissolution, biogenic silica recrystallization and sulphide cementation (Curtis & Coleman

1986; Huggett 1994; Macquaker et al. 1997; Taylor et al. 2000; Taylor et al. 2002; Taylor

& Macquaker 2000).

Mineral recrystallization/replacement and clay mineral authigenesis: During

diagenesis, there are variable scales of mineral recrystallization or replacement that are

reflections of changes in pore water chemistry, subsurface temperature and deep burial

(Shaw & Primmer 1991; Hillier 1993; Taylor & Macquaker 2014). Unstable minerals

change their mineralogy to more stable phases but retain their shapes. Feldspars are

replaced by clay minerals, amorphous opaline silica transforms to microcrystalline

quartz (Bjørlykke & Egeberg 1993; Spinelli et al. 2007; Behl 2011a), aragonite to calcite

(Bjørlykke 2015b), calcic-plagioclase replaced by sodic-plagioclase (albitization),

smectite – illite – chlorite transformations, and kaolinite – illite/chlorite transformation

(Bjørlykke 1998; Thyberg & Jahren 2011). Clay mineral transformations occur at

temperatures in excess of 70⁰C (Einsele 2000).

Organic matter transformation: Mudstones serve as carbon sinks and are mostly rich

in organic matter. Bacterial metabolism of organic matter in sediments control carboxylic

reactions (equations below; Curtis et al. 1977; Curtis et al. 1986) associated with early

diagenetic events At surface conditions, organic matter is subject to bacterial oxidation

via oxygen diffusion (released oxygen from eogenesis) (Nichols 2009).

𝐶𝐻2𝑂 + 𝑂2 → 𝐻+ + 𝐻𝐶𝑂3− Oxic/aerobic OM decomposition

𝐶𝐻2𝑂 + 2𝑀𝑛𝑂2 + 𝐻2𝑂 → 2𝑀𝑛2+ + 3𝑂𝐻− + 𝐻𝐶𝑂3

− Manganese reduction

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𝐶𝐻2𝑂 + 2𝐹𝑒𝑂3 + 3𝐻2𝑂 → 2𝐹𝑒2+ + 7𝑂𝐻− + 𝐻𝐶𝑂3

− Iron reduction

2𝐶𝐻2𝑂 + 𝑆𝑂42− → 𝐻𝑆− + 2𝐻𝐶𝑂3

− + 𝐻+ Bacterial sulphate reduction

2𝐶𝐻2𝑂 + 𝐻2𝑂 → 𝐶𝐻4+ + 𝐻+ + 𝐻𝐶𝑂3

− Microbial methanogenesis

Organic matter may be oil or gas prone hence under suitable temperature and pressure

conditions may yield liquid and/or gas hydrocarbon (Boyer et al. 2006) (Figure 2.2).

When sediments are deeply buried, anoxic/anaerobic conditions prevail with high

temperatures favourable for organic matter transformation. The rate of production,

dilution, and destruction controls the accumulation and concentration of organic matter

in the marine environment (Bohacs & Fraticelli 2008). Preservation is enhanced where

the rates of clastic or biogenic matter dilution are low and organic matter production is

optimized relative to a reduced destruction rate. Different layers occur, which differ

entirely from a more exclusive continental setting generating peat and coal as products

of organic matter transformation. These layers though complex may include:

Upper few centimetres characterized by bioturbation and diffusion

A sulphate reduction zone within 10m below the surface level (Nichols 2009)

where sulphate ions are reduced to sulphide ions by bacterial sulphate reeduction

At depth greater than 10m bacterial fermentation takes place with the breaking

down of organic matter to biogenic methane and carbon dioxide (Nichols 2009).

With an increase in temperature, catagenesis ensues, leaving behind insoluble

organic matter (kerogen) that gets transformed into oil and gas (hydrocarbons)

(Figure 2.2) (Boyer et al. 2006)

Mesogenetic stage of organic matter is termed catagenesis, occurring at depths

between 1km – 4km and temperatures between 40⁰C - 150⁰C (Tissot & Welte

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1978; Boyer et al. 2006), where petroleum is the product of kerogen

transformation (Figure 2.2).

Figure 2.2: General scheme of kerogen types and thermal evolution of kerogen presented on a modified Van Krevelen’s diagram (Tissot & Welte 1978). Changes to kerogen is brought about by increased heat during burial (Boyer et al. 2006) and characterised by the generation of non-hydrocarbon gases (CO2 & H2O), oil, wet gas and dry gas. Type I kerogen: generated from lacustrine environments; Type II kerogen: typically from marine environments with reducing conditions; Type III kerogen: Derived primarily from terrestrial plant debris; Type IV kerogen: “dead carbon” derived from older sediments redeposited after erosion

Mudstone facies characterisation

Fine-grained sediments vary in a range of occurrences; from predominantly carbonate-

rich to siliciclastic-rich sediments. Owing to the economic importance and complexity in

fine-grained sedimentary rocks, various studies since the late nineteenth century have

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presented terminologies and different classification models defined by texture, grain size,

mineralogical composition, colour, bedding, primary/diagenetic structure, fossil content

and fissility (Udden 1898; Wentworth 1922; Ingram 1953; Shepard 1954; Dunbar &

Rogers 1957; Folk 1968; Weser 1974; Pettijohn 1975; Blatt et al. 1980; Lundegard &

Samuels 1980; Potter et al. 1980; Stow 1981; Dean et al. 1985; Quine & Bosence 1991;

Flemming 2000; Macquaker & Adams 2003; Macquaker et al. 2007; Milliken 2014; Lazar

et al. 2010; Lazar et al. 2015). Classification models aim to provide generally acceptable

and readily applicable terminologies for use in facies description and analysis. It is of

utmost importance to assign facies to fine-grained sediments as they aid analyses in basin

reconstruction, depositional environments, diagenetic controls and a facile integration

into basin-scale facies model (Macquaker & Adams 2003; Milliken 2014). Due to complex

inherent compositional heterogeneity and grain size distribution, classification models

vary slightly relative to class boundaries. Lazar et al. (2015) in view of this, conclusively

indicated that “there is currently no naming scheme that captures the inherent

heterogeneity of this rock (mudstones)”. Hence, a particular model may not be

conveniently applicable in every instance. Structure, texture, mineralogical and fossil

composition, depositional environment and degree of metamorphism are basic modifiers

employed in fine-grained facies analysis (Flemming 2000; Macquaker & Adams 2003;

Milliken 2014; Lazar et al. 2015). Efficient descriptions are frequently given from

interpretations made from field observation, hand specimen description and laboratory

analysis.

Basic textural classification of clastic sediments largely employs a sand-silt-clay

percentage end member system on ternary plots (Shepard 1954; Folk 1968; Flemming

2000; Macquaker & Adams 2003). These textural terminologies (Table 2) with

descriptive modifiers are employed in defining fine-grained sedimentary facies (Dean et

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al. 1985; Macquaker & Adams 2003; Macquaker et al. 2007; Milliken 2014; Lazar et al.

2015). Stow (1981), by modifying analyses from earlier authors (Wentworth 1922;

Ingram 1953; Dunbar & Rogers 1957; Folk 1968; Weser 1974; Pettijohn 1975; Blatt et al.

1980), grouped fine-grained sediments based on relative dominance in mineralogical

composition, grain size distribution and fissility. From Stow’s (1981) and Lazar et al.

(2015) descriptions, the terms mud and mudstone represent terminologies for

unlithified and lithified sediments respectively with a mixture of clay and silt fraction as

the dominant grain-size (>50% volume) as seen in the table below.

Basic terms

Unlithified Lithified/non-

fissile

Lithified/fissile Root Term

Silt Siltstone Silt-shale [>2/3 silt-sized (4-63 m)] Coarse mudstone

Mud Mudstone Mud-shale [silt and clay mixture

(<63m)]

Medium mudstone

Clay Claystone Clay-shale [>2/3 clay-sized (<4m)] Fine mudstone

Metamorphic terms

Name Texture Grain size

Argillite Slightly metamorphosed/non-fissile Silt and clay mixture

Slate Metamorphosed/fissile Silt and clay mixture

Textural Terms

Textural descriptors Approximate grain-proportions

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Silty >10% silt-size

Muddy >10% silt- and/or clay-size (applied to non-

mudstone sediments)

Clayey >10% clay size

Sandy. Pebbly, etc. >10% sand-size, pebble-size etc.

Compositional descriptors Approximate grain-proportions

Calcareous >10% CaCO3 (skeletal, nannofossil, etc.)

Siliceous >10% SiO2 (mostly biogenic quartz e.g. radiolarian)

Carbonaceous >1% organic carbon

Pyritiferous, ferruginous, micaceous

etc.

Commonly used for contents greater than about 1-

5%

Table 2: "Mudstone" terminologies taken from Stow (1981) and Lazar et al. (2015).

Dean et al. (1985) later classified facies solely on compositional variability with relative

biogenic and non-biogenic (terrigenous/volcanogenic) components. Like many authors

(e.g. Lazar et al. 2015), sediment component (grain size) with the highest percentage

(>50%) form the root-name with other constituents as modifiers (e.g. Table 3 and Figure

2.3).

>50% composition (Root Term)

Biogenic - Calcareous and Siliceous (induration) Non-Biogenic

Ooze (soft) Clay

(unlithified)

Chalk – Diatomite or

Radiolarite

(firm) Silt

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Sand

Limestone

(hard)

Claystone

(lithified) Porcellanite

Siltstone

Chert Sandstone

25% - 50% (Major modifier) 10% - 25% (minor modifier)

Biogenic Non-biogenic

Biogenic

(calcareous and

siliceous)

Non-

biogenic

Calcareous Siliceous

Nannofossil-,

foraminiferan-

Diatom-,

radiolarian-

-Clayey

-Silty

-Sandy

“-bearing” (e.g.

diatom-bearing)

“-bearing”

(e.g. silt-

bearing)

Table 3: Facies terminologies as given by Dean et al. (1985)

A third classification model reviewed in this chapter is the Macquaker and Adams (2003)

classification. In characterizing mudstones, suffixes indicating the percentage

composition of relatively abundant sediment present is attached in their classification.

Terms including “–dominated”, “–rich” and “–bearing” are added for mudstones

containing >90%, 50-90% and 10-50% respectively of any of the three component

materials (clay, silt, sand). Typical illustrations for this classification are: “silt-rich

mudstone”, “sand-dominated, silt-bearing mudstone”, “clay-bearing, silt-rich mudstone”.

This classification scheme is further modified by adding a prefix of sedimentary

structures and/or textures present in rock samples, for example: “cross-bedded clay-

bearing, silt-rich mudstone”, “bioturbated silt-bearing mudstone”. With this scheme, a

typical “shale” will be described as a “silt-bearing, clay-rich mudstone”, while “chalk”; a

“calcareous, nanoplankton-dominated mudstone”, a “marl”; “carbonate-cement and silt-

bearing clay-rich mudstone”, and a typical “calcite concretion”; a “calcite cement-

dominated mudstone.

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Without discriminating between biogenic components, Milliken (2014) recommended

different terminologies using the same three component system as Dean et al. (1985).

Milliken’s (2014) classification model replaced the root term “mudstone” with

“argillaceous”. Thus, mudstone with >75% extrabasinal/non-biogenic derivations is

termed “terrigenous argillaceous (Tarl)” or, if composed of a significant amount of

volcanogenic input it is referred to as “volcanogenic argillaceous (Varl). Mudstone with

<75% extrabasinal components having calcareous biogenic derivations over biosiliceous

component are designated “calcareous argillaceous (Carl), and “siliceous argillaceous

(Sarl)” if the biogenic siliceous components is more. However, if for both “carls” and

“sarls”, the extrabasinal component is within the range of 50-75%, the term “argillaceous”

is used. In cases where the extrabasinal constituent is <10%, limestone terminologies of

Folk (1968) and Dunham (1962) are used for carbonate-rich sediments, and the siliceous

terms of Dean et al. (1985) are given for siliceous-rich sediments.

Figure 2.3: Diagrammatic illustration on a ternary plot of an example of the complete three-component classification using clay, diatoms, and nannofossils as the three end members, from Dean et al. (1985)

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Figure 2.4: Ternary plot illustrating sand, silt, and clay end members of mudstones dominated by detrital components, from Macquaker and Adams (2003)

Figure 2.5: Compositional classification for fine-grained sediments and sedimentary rocks as proposed by Milliken (2014)

In establishing grain-size class boundaries exclusively for mud and mudstone, Lazar et al.

(2015) suggested three end members.

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Fine mud (clay and very fine silt); <8 µm grain size

Medium mud (fine and medium silt); 8 – 32 µm grain size

Coarse mud (coarse silt); 32 – 62.5µm

These end members form root names for an integrated descriptive three-component

classification scheme. This classification scheme highlights texture, bedding and

composition of rock type. Bedding and distinctive composition form the primary

modifiers while secondary modifiers include: the degree of bioturbation, type and

abundance of fossils, physical sedimentary structures, diagenetic components and colour.

In order to make provision for grain sizes >62.5 µm in a ternary plot, a sand component

is added, hence an adjustment of the “medium mud” to fit at a mid-point between fine and

coarse mud (see Figure 2.6)

Figure 2.6: Nomenclature guidelines for fine-grained sedimentary rocks: texture (grain size), Lazar et al. (2015)

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Bedding classification defines the geometry and continuity of laminae, laminasets, beds

and bedsets visible either in hand specimen or under digital scans of thin sections (Lazar

et al. 2015). Definitive terms include: “continuous planar parallel”, “discontinuous planar

parallel”, “continuous wavy parallel”, “discontinuous wavy parallel”, “continuous curved

parallel”, “discontinuous curved parallel”. When the geometry of laminae or bed between

bounding surfaces are not parallel, the suffix “-nonparallel” is attached in place of parallel.

To incorporate the compositional modifier, a ternary plot (Figure 2.7) is generated. The

end members being the major mudstone mineralogical compositions: clay mineral,

quartz and carbonates.

With this review of the above classification models, it is important that any facies

classification scheme to be used is carefully examined to ensure strict adherence to

outlined objectives of ones proposed research scope. Therefore, in the progression of this

research more descriptive terminologies shall be employed in facies analysis depending

on obvious distinguishable characteristics of the formations under investigation.

Figure 2.7: Nomenclature guidelines for fine-grained sedimentary rocks: composition, Lazar et al. (2015)

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Mudstones: self-sourcing hydrocarbon reservoirs

In hydrocarbon prospecting, mudstones rich in organic matter serve as hydrocarbon

source rocks for petroleum systems, while their high capillary entry pressure and low

permeability make them efficient seals and flow barriers or baffles in the petroleum

system (Boyer et al. 2006; Aplin & Macquaker 2011). As organic matter in source rocks

mature under high temperature and pressure conditions, oil and gas molecules in tight

connected pore spaces migrate (primary migration) to more porous adjacent rocks

(reservoirs). These migrated hydrocarbons accumulate and are stored in reservoirs so

long as the reservoir rock is sealed in all directions by impervious layers/barriers.

Hydrocarbon production from such situations termed ‘conventional’ has since been the

norm in the petroleum industries for decades.

Organic-rich source rocks after primary migration may yet contain residual oil and gas

stored interstitially as free molecules or adsorbed to the surface of organic components

(Boyer et al. 2006; Jarvie 2012a). In recent years, the dynamics in the industry has

advanced, spurring a new paradigm shift in hydrocarbon technology. The properties of

mudstones have been artificially enhanced by inducing hydrofractures resulting in the

production of the adsorbed oil and/or gas retained in the rocks (Montgomery et al. 2005;

Aplin & Macquaker 2011; Jarvie 2012a; Han et al. 2015; Soeder 2018; Passey et al. 2010).

Organic-rich mudstones/shales in proven locations like in North America not only serve

as source rocks but also recognised as reservoirs of hydrocarbon(USEIA 2013). They are

considered ‘unconventional plays’ (examples: tight shale, hybrid shale and fractured

shale). The Eagle Ford Shale, Barnett Shale, Bakken Shale, Marcellus Shale and the

Niobrara Formation are examples of US “unconventional” resource systems (Jarvie

2012a; Stephenson 2015; Soeder 2017). Economic hydrocarbon production from shale

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reservoirs uses greater amounts of energy than its conventional counterpart uses, and

thus, requires improved predictive capability and enhanced recovery rates.

Another form of extraction technique though relatively uneconomical requires the

laboratory/subsurface retorting of immature source rocks to produce hydrocarbon

locked up within kerogen (Andrews 2014).

Source rocks rich in organic matter and viable for shale gas play are characterised by

certain conditions (Boyer et al. 2006; Charpentier & Cook 2011; Jarvie 2012a):

The type and amount of organic matter present, preferably type II organic matter

(Hydrogen index: 250 – 800 mg/g) with organic richness >1.00 wt. % present-day

TOC

The presence of significant rigid grains that might enhance brittleness. E.g.

significant silica content >30% with carbonate, and absence of non-swelling clays

State of thermal maturity, mostly in the gas window (>1.4% Ro)

Timing in relation to all other petroleum system elements

Adequate porosity between 4 to 7%

Laterally extensive and highly overpressured

Among these qualities, the understanding of lithofacies variations, existing pore spaces

and mudstone diagenesis has significant implication on reservoir properties and

completion technology of shale plays.

2.7.1 Mudstone porosity and permeability

Measuring porosity and permeability of mudstones conventionally from cores in

laboratories as with sandstones and carbonates is rather complicated owing to the small

grain sizes and micro- and nano-scale pore throats of shales (Bowker 2007). Except for

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borehole coring, retrieval of homogenous samples from shale formations in boreholes

has been relatively arduous (Slatt et al. 2012). The use of Scanning Electron Microscope

techniques and Field Emission-Scanning Electron Microscope (FE-SEM) are the best ways

of describing pore networks in shales (Harrington & Horseman 1999; O’Brien & Slatt

1990). X-ray CT scans become useful in visualizing pore distribution and

interconnectivity. Pores vary widely in origin, shape and size and result from both

depositional and diagenetic processes, showing multiple phase-origins from deposition,

compaction, cementation and dissolution (Loucks et al. 2012).

Loucks at al. (2012) produced a simple pore classification system for mudstones. The

classification encompasses earlier descriptive/interpretive nomenclatures (e.g. Slatt &

O’Brien 2011a). Pore sizes in mudstones are nanometre (nm) to micrometre (µm) in scale

and occur mostly in the form of matrix pores and fracture pores.

Mineral matrix pores: primary inter-particle pores and intra-particle pores

Organic matter pores (organo-pores): diagenetic intra-particle pores created by

the decomposition of organic matter.

Fracture pores: linear, micro-fractures from deep diagenetic processes

crosscutting bedding planes.

Inter-particle pores commonly exist between clay and matrix mineral particles or

between ductile clay and rigid particles as inter-platelet or inter-granular pores (Loucks

et al. 2012). Inter-crystalline pores occur between crystals. The pore shapes range from

elongate to round to angular (Milliken & Reed 2010) and are abundant in slightly

compacted young shallow sediments. Triangular and linear-shaped pores seen in cross-

sections are products of compaction and diagenesis (Loucks et al. 2012). Inter-particle

pores tend to exhibit greater chance of interconnectivity than all other pore types (Loucks

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et al. 2012). Intra-particle pores exist within particles for example in porous grains like

the pores within pyrite framboids of Barnett and Woodford shales (Slatt & O’Brien

2011b) and are primarily intra-granular than intra-crystalline. Intra-particle pore tends

to be diagenetic in origin rather than primary, although primary intra-particle pores exist.

Thermal maturation processes in organic matter create major effective intra-particle

pore networks (Figure 2.8). These pores as highlighted by Loucks et al. (Loucks et al.

2012), develop as organic matter reaches a thermal maturity (R0) level of 0.6% or higher.

They range between 5nm & 750nm in length, seemingly well connected in three-

dimensional view and prone to develop in only type II kerogen. Linear, micro-fractures

contribute to the pore network of fine-grained sediments, enhancing flow-paths within

pore spaces. They are, however, not controlled by individual matrix particles.

Porosity: Pore-size classification has been suggested over the years by various authors

(Choquette & Pray 1970; Rouquerol et al. 1994; Loucks et al. 2012), given in Table 4.

Rouquerol et al. (1994) present the IUPAC classicification of pore sizes in porous solids.

Loucks et al. (2012) define a comprehensive scheme for all identifiable pore sizes in

mudstones.

Choquette & Pray (1970) Rouquerol et al. (1994) Loucks et al., (2012)

Micropores <62.5µm Micropores <2nm Picopore <1nm

Mesopores 62.5µm –

4mm

Mesopores 2nm – 50nm Nanopore 1nm - 1µm

Megapores 4mm –

256mm

Macropores >50nm Micropores 1µm – 62.5µm

Mesopores 62.5µm – 4mm

Macropore 4mm – 256mm

Table 4: Pore size classifications

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Figure 2.8: Summary diagram of the major stages in mudstone burial diagenesis in relation to pore types, after Loucks et al. (2012)

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Figure 2.9: Schematic representation of pore classification by Loucks et al. (2012)

Permeability: The relative ability of a reservoir to transmit fluid through its

interconnected pore spaces is its permeability. This is,the measure of fluid conductivity

of a rock (Hartmann & Beaumont 1999). Several parameters define permeability:

Pore throat, volume, distribution and pore geometry

Water saturation

Lateral continuity, number and position of flow units

Reservoir pressure and drive mechanism

Organic-rich shales reportedly have oil adsorbed in the organic matter, consequently

reducing the free flow of oil (Jarvie 2012b). This contrasts with organic-lean shales (low

TOC) which are more permeable (Jarvie 2012b). Organic-rich shales may possess an

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appreciable percentage of porosity but permeability is low, hence the need for hydraulic

fracturing, typical of tight shale resource systems, e.g. Barnett Shale. In a system of

interbedded organic-rich and organic-lean (carbonate-rich) shales permeability is higher

(e.g. Bakken Shale).

Conclusion

Mudstones are abundant in the rock record and their complexity in texture and mineral

composition have resulted in a plethora of classifications. The grain assemblage of

mudstones are dominated by <62.5µm carbonate, tectosilicate and phyllosilicate grains

and crystals. They may also contain volcanic debris, biogenic minerals (e.g. phosphates)

and hemipelagic materials. These components are grouped as detrital-derived

(allochthonous) components, in situ productivity-derived (autochthonous) components

and diagenesis-derived components.

The deposition of mudstones occurs across a wide spectrum of depositional

environments from lacustrine environment, alluvial and fluvial channels and plains to

shallow and deep marine settings. These environments are characterised by varied

transport mechanisms and depositional processes. More significantly, recent findings

show that mudstones do not accumulate solely by quiet settling of fine-grained

(<62.5µm) particles. Together with the settling of hemipelagic aggregates (“flocs”,

“floccules” or “marine snow”), fine-grained sediments can be transported and deposition

in turbulent environmental conditions.

Mudstones experience complex post-depositional effects from compaction, grain

replacement, cementation and fracturing. The controls on diagenetic alteration of

minerals in mudstones and their effects on texture and mechanical properties are still

being investigated. Precipitation and alteration of minerals begin either in water-column

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or at sediment-water interface termed early diagenesis, and during sediment burial,

classified as late diagenesis. Understanding these diagenetic processes have strong

implications in characterising facies and controls on large scale spatial (facies

architecture) and temporal variability.

Due to their richness in organic matter and low permeability, mudstones can serve as

hydrocarbon source and seal rocks. Provided adequate conditions are met in the nature

and content organic carbon and thermal maturity, organic-rich mudstone yield oil and

gas which are mostly stored in juxtaposed more porous and permeable rocks

(reservoirs). However, not all produced oil and/or gas in the source rocks migrate to

storage in reservoir rocks. Some hydrocarbons remain as free or adsorbed molecules

between submicron-scale pores of mudstones. Such pores occur between and within

constituent grains termed interparticle and intraparticle pores respectively. Most pores

are also contained in and around organic matter particle, commonly referred to as

organo-pores. Recently, the residual hydrocarbon deposits stored in mudstones have

been economically exploited for energy needs. This makes mudstones act as self-sourcing

hydrocarbon plays which are being explored across the globe.

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.

Chapter 3 Mud-rich Calciclastic Facies in the

Viséan submarine fans of the Bowland

Basin, UK

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3 Mud-rich Calciclastic Facies in the Viséan Submarine Fans of the

Bowland Basin, UK

Timothy M. Ohiara1, Kevin G. Taylor1, Patrick J. Dowey1

1 – School of Earth and Environmental Sciences, the University of Manchester, Oxford

Road, Manchester M13 9PL, UK

Keywords: Facies, Viséan, Hodder Mudstone, calciclastic submarine fan, turbidites,

debris flows

Abstract

Deposits of clastic carbonate-dominated (calciclastic) sedimentary slope systems in the

rock record have been identified mostly as linearly-consistent carbonate apron deposits,

even though most ancient clastic carbonate slope deposits fit the submarine fan systems

better. Calciclastic submarine fans are consequently rarely described and are poorly

understood. Subsequently, very little is known especially in mud-dominated calciclastic

submarine fan systems. Presented in this study are a sedimentological core and

petrographic characterisation of samples from eleven boreholes from the Lower

Carboniferous of Bowland Basin (Northwest England) that reveals a >250 m thick

calciturbidite complex deposited in a calciclastic submarine fan setting. Seven facies are

recognised from core and thin section characterisation and are grouped into three

carbonate turbidite sequences. They include: 1) Calciturbidites, comprising mostly of

high- to low-density, wavy-laminated bioclast-rich facies; 2) low-density densite

mudstones which are characterised by planar laminated and unlaminated mud-

dominated facies; and 3) Calcidebrites which are muddy or hyper-concentrated debris-

flow deposits occurring as poorly-sorted, chaotic, mud-supported floatstones. These

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facies present evidence for a hybid carbonate clastic and terrigenous mud-rich sediment

gravity (density) flow deposits. Results suggest that sediments were deposited along

amalgamated feeder slope channels to fan fringe/basin plains in a tectonically active

setting. The deposited facies resulted from the interaction of upper slope gullies,

channelled slope turbidites systems and basin plain processes. The integration of

sedimentary elements and facies correlation across boreholes also reveals that sediments

were deposited on a distally steepened ramp slope (mid-to-outer fan setting) to basin

plain environments. Basin physiography was controlled by tectonics and resulted in the

asymmetric depositional sequence of high- to low-density turbidites and occasional

debris flow beds. These high- to low-density turbidites were further overlain by basin

plain sediments. This study presents evidence for an ancient carbonate submarine fan

systems within the Carboniferous back-arc basins of central Britain. It has also

documented the distribution and variation of a calciclastic and muddy turbidite facies

sequence.

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Introduction

Understanding and documentation of ancient calciclastic submarine fan systems are still

lacking in comparison with siliciclastic equivalents (Payros & Pujalte 2008; Courjault et

al. 2011; Ielpi & Cornamusini 2013). Recent studies suggest that deposits of calciclastic

submarine fans may be more common in the stratigraphic record than generally

recognised (Payros & Pujalte 2008; Courjault et al. 2011; Grosheny et al. 2015). The

classification of calciclastic sedimentary units as products of submarine fan systems

requires an understanding of sediment transfer processes, the depositional geometries

and the depositional controls on calciclastic slope systems. Current understanding of

ancient calciclastic submarine fans has been influenced by a combination of the

extensively developed siliciclastic submarine fan models of Normak (1970) and the slope

apron/base-of-slope apron models of Mullins and Cook (1986). With no bona fide

present-day analogues for calciclastic submarine fans, a direct knowledge of sedimentary

processes in calciclastic slope systems has been acquired from several studies on modern

carbonate slopes (e.g. the Bahamian slopes) (Betzler et al. 1999; Saxena 2000; Reijmer et

al. 2002; Eberli et al. 2004; Tournadour et al. 2015; Chabaud et al. 2016; Tournadour et

al. 2017; Wunsch et al. 2017; Principaud et al. 2018). A considerable amount of literature

has also been published on ancient carbonate slope systems (e.g. Herbig & Bender 1992;

Savary & Ferry 2004; Savary 2005; Courjault et al. 2011; Ferry et al. 2015; Grosheny et

al. 2015). These studies have provided sedimentologists with a good understanding of

calciclastic slope systems, but our knowledge still lags behind that of siliciclastic systems.

For example, advances have been made in siliciclastic models to include all grain size

variables with several likely facies expected in almost all systems (e.g. Stow & Piper 1984;

Lowe 1982; Shanmugam 1997; Shanmugam 2000; Mulder & Etienne 2010; Talling et al.

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2012). In comparison with the inventory on siliciclastic systems, more case studies are

still needed in order to fill the knowledge gap within calciclastic systems.

Advances that have been made in understanding ancient calciclastic submarine fans

within the stratigraphic record have hitherto not focused on mud-rich (>50% mud)

calciclastic systems. Despite the growing importance of mudstones as self-sourcing

reservoirs (Mullen 2010; Lazar et al. 2015; Liang et al. 2016) and their potential as

locations for carbon dioxide (Schepers et al. 2009) and nuclear waste storage (Neuzil

2013b), there remain significant questions on the lateral distribution and geometries of

mud-rich facies in hybrid calciclastic systems.

This study presents significant stratigraphic and sedimentological features from a hybrid

mud-rich calciclastic turbiditic facies deposited in the Carboniferous Bowland Basin,

northwestern England. In their sedimentary models for extensional basins, Leeder and

Gawthorpe (1987) recognised the Bowland Basin as a carbonate coastal/shelf, tilt

block/half-graben. The Lower Carboniferous (Viséan) succession of the Bowland Basin,

was described as sediment gravity flow deposits deposited along a carbonate platform

slope during basinal extension and submergence of the carbonate platform (Gawthorpe

1986). No reference to either calciclastic submarine fan system or the carbonate slope

apron system has been made as to the interpreted sedimentary system. No attempt has

also been made to characterise its mud-rich facies in light of recent developments in

submarine gravity flow deposits. As common in mud-dominated systems, the Viséan

Bowland succession has been previously interpreted as a medium to dark grey

hemipelagic mudstone, interbedded with thin-bedded calcareous siltstones and

turbidites (Gawthorpe 1986; Riley 1990; Aitkenhead et al. 1992; Waters et al. 2009;

Newport et al. 2017). Sedimentary architecture is interpreted to be a product of eustatic

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sea-level changes and syndepositional tectonics that resulted in a mixed deposition of

deep marine hemipelagic sediments with intermittent limestone turbidites shed from

adjacent carbonate shelves and platforms (Riley 1990; R. L. Gawthorpe 1987; Fraser &

Gawthorpe 1990). In this study, bed-scale sedimentary structures, microtextural

elements and lamina-scale sedimentological variations of the Bowland Basin carbonate

slope deposits have been examined using exceptional core data density and high-

resolution petrographic tools. This enables an improved interpretation of turbidite and

debris flow facies and provides stratigraphic controls on facies reconstruction within a

mud-rich calciclastic succession. The chapter aims to (i) Identify the sedimentological

evidence for submarine fan systems within the units of a mud-rich calciclastic succession,

(ii) review the sediment gravity (density) flow depositional processes responsible for the

facies distribution, and (iii) produce a conceptual depositional model for the mud-rich

calciclastic facies of the Lower Carboniferous Bowland Basin.

Tectonic evolution and stratigraphy

At the close of the Devonian, the British Isles were located within the equatorial belt.

Central Britain lay in the foreland/back-arc terrain of the Laurasian continent and

associated rift basins formed due to extensional tectonics (Leeder 1982; Leeder 1988). In

the Carboniferous, dextral shearing (Arthurton 1984), back-arc rifting (Leeder 1982) and

North Atlantic rifting (Haszeldine 1984) have been suggested as regional-scale processes

that controlled basin development in Northern Britain. The Bowland Basin represents

one half-graben sub-basin comprising the several sedimentary sub-basins formed in

North England during the Carboniferous (R. L. Gawthorpe 1987; Aitkenhead et al. 1992).

It is a NE-SW oriented basin bounded by the Bowland High to the northeast and the

Rossendale High to the southwest (Figure 3.1). The Bowland Basin evolution was

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controlled by two distinct rifting episodes of basin extension in a back-arc setting (Leeder

1982),: a Late Chadian (Tournaisian) to Early Arundian (Early Viséan) episode and a Late

Asbian to early Brigantian (Late Viséan) episode (Figure 3.1). The basin evolution

involved a NW – SE- to N – S-deepening half-graben, controlled by a basin-margin fault

along the line of the present day Pendle Monocline (Figure 3.2). Complex normal and

transfer fault systems and dextral shear periods associated with the extensional tectonics

controlled sediment deposition (Figure 3.2 (b)) (R. L. Gawthorpe 1987; Leeder &

Gawthorpe 1987). The facies mosaic of the Bowland Basin documents the basin-wide and

intra-basinal asymmetric depositional sequence (R. L. Gawthorpe 1987). Due to Late

Carboniferous compression and transpression, the Bowland Basin is presently situated

on the Ribblesdale Fold Belt and the Becconsall-Ashnott High (Figure 3.1) (R. L.

Gawthorpe 1987; Leeder & Gawthorpe 1987).

There are nine different depositional lithofacies association recognised in the

Carboniferous of Britain, of which, six are documented in the Bowland Basin located on

the western margin of northern England (Dean et al. 2011). These facies, adopting the

regional Western European chronostratigraphic stage nomenclature are: (1) Late

Devonian to Tournaisian continental and peritidal facies; (2) Tournasian to Viséan Open

marine platform and ramp carbonate facies; (3) Viséan hemipelagic facies; (4)

Fluviodeltaic facies, known as the “Millstone Grits” of Namurian to Westphalian age; (5)

Westphalian Fluvio-deltaic facies (“Coal Measures”) and (6) Westphalian to Stephanian

Alluvial facies (“Barren Measures”) (Chapter 2).

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Figure 3.1: (a) Location and geological map of the Bowland Basin showing bounding faults and surrounding areas. Approximate location of studied wells is shown in (b) inset in Figure 3.1(a). Geological map, structural elements and surface exposures adapted from the BGS 1:250 000 Liverpool Bay Sheet (Clarke et al. 2018)

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Figure 3.2: A simplified summary diagram on the Lower Carboniferous tectonostratigraphic evolution of the Bowland Basin. (a) Tournaisian to Early Viséan structural configuration showing emergent/shallow marine areas (northwest and southeast) and the development of carbonate ramp slope on a simple half-graben tilting towards the basin margin fault (southeast) (present-day Pendle Monocline). (b) Viséan to Namurian structural configuration showing progressive extension, hanging wall segmentation by a series of NE-SW-trending transfer faults and NE-SW-trending antithetic faults. Diagrams adapted from Gawthorpe (1987) approximate location of studied samples is indicated. (c) Schematic conceptual diagram (not drawn to scale) showing the sedimentary depositional architecture of the Bowland Basin and sequence stratigraphic units (Andrews 2013).

3.2.1 Viséan stratigraphy of the Bowland Basin

As rifting progressed during the Viséan, there was extensive fault-block tilting resulting

in erosion, sediment transfer of sedimentary detritus from marginal shelf areas and

footwalls scarps into basinal regions, and soft sediment deformation (R. L. Gawthorpe

1987; Aitkenhead et al. 1992). Carbonate detritus was derived from the NW margin of the

basin while terrigenous predominantly mud-rich sediments were derived axially from

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the NE (R L Gawthorpe 1987). Various identified calcareous algae suggest deposition in

a warm shallow water of 75 – 100 m water depth (R. L. Gawthorpe 1987) on the platform.

By the end of the Viséan, the climate had become progressively wetter with the

movement of the continents to higher latitudes, and deltas became more prominent

bringing coarse-grained terrigenous sediments to the basin (Aitkenhead et al. 1992). The

Viséan sedimentary succession in the Bowland Basin is dominated by marine hemipelagic

deposits and carbonate debris (Riley 1990; Gawthorpe 1986; Aitkenhead et al. 1992;

Fraser & Gawthorpe 1990; Waters et al. 2009; Dean et al. 2011). Carbonate slope

sedimentation was dominant between the Chadian/Early Arundian and the Late

Asbian/Early Brigantian (R. L. Gawthorpe 1987). The “Viséan hemipelagic facies” include

the Hodder Mudstone (Lower Viséan) and the actively studied Upper Viséan (Brigantian)

Bowland Shales (e.g. Gross et al. 2015; Emmings et al. 2017; Newport et al. 2017),

interbedded with brecciated carbonates (Hodderense and Pendleside limestone) (Figure

3.3). The Hodder succession forms part of the Bowland-Hodder Unit within a potential

UK shale play (Figure 3.2 (c)) (Andrews 2013; Clarke et al. 2014). Within the regional

stratigraphic sequence, the Hodder Mudstone is a member of the Craven Group (Waters

et al. 2009) and forms the EC3 (late Chadian to Holkerian regional stages) seismic

stratigraphic sequence (Fraser & Gawthorpe 1990) (Chapter 2).

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Figure 3.3: Viséan (Late Chadian to Asbian) lithostratigraphy of the study area shown in Figure 3.1. Sedimentary thicknesses and facies may vary across basin (after Gawthorpe 1985)

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Methods

The data presented herein are detailed petrographic results of core samples taken from

a suite of onshore solid mineral exploration boreholes (Marl Hill borehole (MHD) series).

The boreholes were drilled by BP Mineral International Ltd during a Pb-Zn solid mineral

prospecting around Whitewell towards the southern margin of the Forest of Bowland

(53°55´0.66´´ N, 2°30´26.33´´ W) (Figure 3.2). Studied cores penetrated present day

topsoil through underlying Namurian to Viséan age strata (Aitkenhead et al. 1992) and

are stored by the British Geological Survey (BGS) in Keyworth, Nottinghamshire, UK. The

formation tops of the Lower Viséan succession were identified from lithologic and

biostratigraphic log results of Aitkenhead et al. (1992) and Riley (1993). A total of 1,679

m (5,508 ft.) of continuous cores from 11 boreholes were logged and sampled for this

study. 131 samples were selected using graphic core logs and lithologic variation to guide

sample selection for detailed petrographic analysis.

Textural terminologies used to characterise the facies description were adapted from

Macquaker and Adams (2003) classification of mudstones, and are based on the

percentage composition of constituent grains irrespective of provenance. This

classification was used as it conveniently captured the defining general textural features

of each facies. However, in describing the carbonate textural aspects of lithotypes within

the facies, carbonate textural terminologies of Dunham (1962) and Embry & Klovan

(1971), and the clastic carbonate terminology “calciclastics” for calcium carbonate

containing sediments, removed from pre-existing and redoposited as clastic sediments

(Braunstein 1961), have been applied for clarity. The term calciclastic can also be applied

to mixed carbonate and siliciclastic sytems where carbonate sediments are dominant

(Payros & Pujalte 2009). Percentage composition of clay, silt, sand or skeletal materials

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(bioclast) are defined by suffixes; “–dominated” (>90%), “–rich” (50 – 90%) and “–

bearing” (10 – 50%). The terminologies are further modified by the addition of prefixes

denoting sedimentary structures and textures present.

Core samples enabled the recognition of internal sedimentary structures and were

primarily described from visual inspection. Lithology was identified using colour,

sedimentary structures, grain size, visible mineral and fossil content, fracture patterns

and diagenetic structures. 10% dilute HCl was used to confirm the presence of carbonate

minerals and a grain size analysis chart for grain size analysis. Rock samples collected

were approximately 20 – 40 cm3 in size guided by distinct and subtle visual variations.

Fifty 20 µm thick, polished thin sections perpendicular to bedding with blue epoxy

impregnation were prepared from samples. Thin sections were scanned with Kodak

esp® 1.2 scanner to provide high-resolution images (1200x1200 dpi) of the whole thin

section. A detailed petrographic analysis was undertaken using Nikon Eclipse E200

ultraviolet polarized light microscope at the University of Manchester. Optical

petrographic microscope observation provided two-dimensional sections revealing grain

fabric and texture. Sand- and silt-sized mineral components, bioclasts, trace fossils and

cements were characterised with the polarizing microscope. Photomicrographs of

samples were also taken at low and high magnification in plane polarised light (PPL) and

cross polarised light (XPL).

Representative polished thin sections were further carbon-coated and analysed using

the Philips XL30 FEG Environmental Scanning Electron Microscope (ESEM) equipped

with an energy dispersive x-ray spectrometer (EDS) analyser. This enabled clear

identification of minerals and their distribution. Machine parameters were set to 15kV

acceleration voltage, with 10 mm working distance, spot size of 4 and in back-scattered

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electron emission (BSE) mode. Qualitative chemical variability was determined using

the EDS system.

Results

3.4.1 Sedimentological elements and facies description

Seven facies are described based on constituent sediment types, grain-sizes, grain-

sorting and sedimentary structures. Descriptions utilized core logging and hand

specimen observations and were further modified by petrographic observations. The

identified facies are mostly intercalated and defined by gradational to sharp boundaries.

Facies include: F1- Wavy-laminated, gravel-to-sand (bioclastic) and silt-rich limestone;

F2- Poorly-laminated, bioturbated, silt-rich and sand (bioclastic)-bearing limestone; F3-

Unlaminated sand- and silt-rich arenite; F4- Unlaminated clay-dominated mudstone;

F5- Parallel, planar-laminated to convoluted silt- and clay-rich mudstone; F6-

Unlaminated silt- and bioclast-dominated limestone; F7- Intraclastic, bioclast- and sand-

rich limestone.

3.4.1.1 F1- Wavy-laminated, gravel-to-sand (bioclastic) and silt-rich limestone

Description: The F1 facies have bed thicknesses between 0.5 – 30 m and constitute

alternating light to dark grey laminae (Figure 3.4). Facies are thickest (ca. 30 m) to the

west of the study area towards MHD12 borehole but generally thins (<0.5 m) out in the

southeast direction. F1 facies may grade into F2 or F3 facies described below, depending

on mud to bioclast ratio and the presence or absence of laminae.

Wavy, discontinuous and mostly parallel laminations are a distinctive feature of this

facies (Figures 3.4, 3.5 & 3.6). Laminae are marked by erosive bases and by lamina-scale

normal and inverse-to-normal grading of rudstone, packstone and wackestone (Figures

3.4 & 3.5). Grain-size and sorting differ within and across laminae but facies generally

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fine upwards through sand-to-silt-to-mud laminae. This fabric results in the transitory

inter-lamination of packstone, wackestone and carbonate-sand dominated beds (Figure

3.6). Horizontal grain-imbrication and sediment sculpting are common (Figures 3.4 &

3.5).

A typical F1 facies contains abundant shallow marine skeletal debris of mostly

echinoderm, mollusc, brachiopod, benthic foraminifera, bryozoans, corals and calcareous

algae. Echinoderms are abundant and are dominated by crinoids. The diameter of most

crinoid ossicles can be as large as 2cm. The average size of other calcareous fossil

fragments is between 3 mm to <1mm. Bioclast to mud ratio from a visual estimate is

about 2:1 while most intervals are characterised by calcarenitic matrix. The muddy

matrix is composed mostly of siliciclastic grains and micrite. Siliciclastic components

include silt- to clay-sized quartz and muscovite grains. The micritic matrix contains

calcitic microscopic remains of bryozoans and microfossils of calcareous algae, benthic

foraminifers, calcified tests of radiolarian and sponge spicules and some indeterminate

biota. Other carbonate minerals are calcite and ferroan dolomite cements.

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Figure 3.4: Showing mm to cm scale continuous and discontinuous wavy laminations. Normal and inverse-to-normal lamina-set are common in F1 facies. Clay-rich ripple laminae eroded surfaces with a combined effect of sediment compaction. Visible skeletal fragments (blue) are mostly of abraded crinoid.

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Figure 3.5: Example of interlaminated rudstone (a), packstone, wackestone and mudstone laminae (b). These lithologies make up the bulk of the F1 facies at varying thicknesses. Grain imbrication is mostly horizontal.

Interpretation: The dominance of calcareous bioclastic debris from shallow marine

biota indicates allogenic sedimentation mostly from the adjacent shelf or platform slope

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(Payros et al. 2007). Coarse-grained (gravel-to-sand sized) calcareous bioclastic debris

and the associated normal to inverse grading and wavy erosive lamina-bases are

considered to be results of high-density turbidity current (Payros & Pujalte 2008; Plint et

al. 2012). The interlamination of rudstone, packstone and wackestone lithotypes may be

due to fluctuation in turbulence. Scoured surfaces and low amplitude wavy laminations

are typical of traction/traction carpet component of high- to low-density turbulence

(Baas et al. 2009; Talling et al. 2012). The traction carpet in F1 is characterised by the

basal gravely to sandy debris flows. The depositional process is characterised by an initial

intergranular frictional “freezing” of traction carpet and subsequent rapid suspension of

the finer-grained top layer by genetically related high-concentration turbidity currents

(Payros et al. 2007). The erosion of the top mud-rich laminae resulted in the thin, darky-

grey mud laminae seen in Figure 3.4. The reduction in bioclastic fragments and the

presence of sand/silt and mud laminae couplets in wavy laminations may also be

indicative of a repeated collapse of the lamina shear layers (Talling et al. 2012). The F1

facies is typical of conglomeratic to stratified calciturbidites (Payros et al. 2007), and is

comparable to the TB-1 / TB-2 siliciclastic model of Talling et al. (2012). Although the

specific density of calcite mineral is higher than quartz mineral (2.71 g/cm3 and 2.65

g/cm3 respectively), carbonate grains are mostly flat-shaped and possess intra-particle

pores which reduces their bulk density (Eberli 1991). Hence, it is expected that most

coarse-grained skeletal debris exhibit similar hydrodynamic behaviour equivalent to that

of fine-grained compact and mostly spherical particles. Within mud-rich sediment gravity

flows, deposits may be composed of pure carbonates units (e.g. packstones and

wackestones) or mixed with very fine-grained siliclastic components (Payros & Pujalte

2008) as observed in the studied facies.

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Figure 3.6: Core images highlighting the textural features of the F1 facies recognised by their distinctive wavy laminations and bioclast content. Facies comprise transitory rudstone, packstone, wackestone and mudstone laminae

3.4.1.2 F2- Poorly-laminated, bioturbated, silt-rich and sand (bioclastic)-bearing

limestone

Description: The F2 facies consists of dark grey wackestone to mudstone strata with

thicknesses from <1 to 5m. Some F2 facies display thin (1 to 2mm) indistinct

discontinuous wispy laminations marked by occasional swirls both in core and thin

section (Figure 3.7). F2 facies are commonly intercalated with F1 and F3 facies due to

variable mud to bioclast ratio.

The identified shell debris are from shallow water fauna similar to F1 bioclastic

components. These components make up between 10 to 50% of calciclastic content.

These fragments are mostly observed as silt to sand-sized abraded bivalves and

brachiopod shells. Echinoderm spines and shells are also distinctive. In most samples,

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bioturbation traces typical of Chondrites are present (Figure 3.7). Bioturbation in the F2

facies is moderate and localised in thinner intervals, differing from the intense

bioturbation occurring in F3 facies.

The matrix contains micrite and siliciclastic components (silt-sized quartz and

phyllosilicate clay minerals). The micritic assemblage is similar to that observed in F1

facies. However, F2 has lower concentrations and smaller-sized microbioclasts and

higher concentrations of sparite and angular silt-sized siliciclastic components than the

F1 facies.

Interpretation: The lack of sedimentary laminations and the presence of bioturbated

facies may indicate relatively slow sedimentation and the reworking of sediments by

epifaunal “sediment swimmers (Schieber 2003)”. Chondrites are dwelling structures

typical of deep-tier chemosymbiotic faunal traces (Uchman & Wetzel 2012). Sediments

were fluidized to enable the reworking of sediments by worm-like burrowers (Lobza &

Schieber 1999). The preservation of Chondrites in the F2 facies and the interstratification

with F1 may be attributed to the interaction of slow energy fluid mud processes and

subsequent turbulent flow regimes. Preserved faint laminations may however, be due to

the presence of bottom currents that partly reworked the sediment (e.g. Ielpi &

Cornamusini 2013). Both bioturbation and bottom currents are possible events in

turbiditic environments.

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Figure 3.7: Textural features of the F2 facies showing core sample with lamina-disruptive bioturbation trails. Bioturbation traces are preserved as anastomosing traces typical of Chondrites (arrow indication) with the deposition of relatively larger grains of bioclast fragments in burrows

3.4.1.3 F3- Unlaminated sand- and silt-rich arenite

Description: The unlaminated sequences of F3 facies consist of light to medium grey

(Figures 3.8 (a) & (b)), 2 to 10 m thick sandstone and siltstone packages. Facies F3 often

overlies F2 but are locally intercalated with F1. The base of the F3 facies is mostly

gradational from underlying F1 and F2 and overlain by F4 facies. Sand beds are localised

in boreholes towards the west of the study area and a localised <1.5m thick quartz

arenitic sand bed (Figures 3.8 (a) & (b)) observed in MHD1 core.

Sedimentary structures are rare but indistinct wavy laminations may be observed.

Constituent lithotypes are mostly calcilutite, calcarenite and quartz arenite (Figure 3.8).

Facies units in core scale contain rare fragments of crinoids and molluscs shell debris.

Microscopic evidence show <0.25 mm sized matrix assemblage of abraded crinoids,

gastropods and brachiopods, foraminifers, radiolarian tests, sponge spicules and

calcispheres. Matrix is dominated by sand-, silt- and clay-sized quartz, muscovite, calcite

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and dolomite. Dolomite are are dominant in calcarenitic beds with idiomorphic mosaic of

sub- to euherdal crystal morpohology (Figure 3.8d) similar to those observed by

Gawthorpe (1987) in the study area. Bioturbation is present and can be locally delineated

in thin sections as dentritic burrows typical of Chondrites and simple Planolites traces.

Figure 3.8: Unlaminated sand- and silt-rich facies: (a) showing core image of facies comprising very fine quartz-rich sand facies (B) from MHD1 core. Grain size in (c) and (d) is between silt to very fine carbonate-rich sand. Distinguishing feature between the two examples is the dominance of quartz grains in (b) and dominance of rhombic dolomite crystals in (d).

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Interpretation: The rare to complete absence of laminations, presence of isolated sand-

sized skeletal fragments in silt-/sand-rich matrix and the interstratification of F3 with F1

and F2 may be a result of damped turbulence and fluid mud processes (e.g. Baas & Best

2002; Bhattacharya & MacEachern 2009; Ichaso & Dalrymple 2009; Sumner et al. 2009;

Talling et al. 2012; Kase et al. 2016). The depositional process may have been in the form

of en masse deposition, grain flow and/or settling from flocculated suspension (e.g

McCave & Jones 1988; Talling et al. 2012). This resulted in the succession of calcilutite

and the sand-dominated calcarenitic facies with constituent calciclastic and siliciclastic

grains in the samples. During sediment en masse deposition, mud concentrations may

range from 0.5 to 11% volume (Talling et al. 2012) occasionally supporting the

entrainment of fossil fragments and sand-sized grains in a resultant mud ‘gel’. The

presence or muddy matrix and the localised fine-grained sand bodies observed in the

studied succession, F3 facies is likely to have been transported en masse through a gel

and a subsequent settling sand to the base of the deposit (e.g. Amy et al. 2006; Sumner et

al. 2009; Talling et al. 2012). Calcarenitic units subsequently experienced significant

dolomitization of calcite spar as indicated by the presence of sub- to euhedral dolomite

crystals (cf. Gawthorpe 1987). Localised bioturbation traces may suggest colonization of

the sea floor in between turbidity flows (e.g. Ielpi & Cornamusini 2013).

3.4.1.4 F4- Unlaminated clay-dominated mudstone

Description: This facies constitutes dark grey, conchoidal, dull to vitreous-lustre

mudstone (Figure 3.9 (a)). The thickness of these beds varies from 10 metres in the west

of the study area to more than 80 metres towards the southeast. They are also thinly (<

0.5 cm) interlaminated with F1, F2 & F3 facies (e.g. Figures 3.4 & 3.5). No primary

sedimentary structures are observed but concretionary nodules are common in most

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horizons. Nodules may occur as rusty brown to grey sub-rounded to sub-angular calcitic

to dolomite concretions.

In thin section, this facies is almost devoid of skeletal debris (Figure 3.9b), but may locally

contain crinoidal debris, indeterminate calcitic skeletal fragments and pyrite-replaced

moulds of indeterminate organisms. Tests of sponge spicules and radiolarian are

localised in bioclast-bearing units. This facies comprises mostly micritic carbonate

crystals, silt- to clay- sized quartz, muscovite and kaolinite (Figure 3.9 (c)). Local

intrastratification of F6 facies was observed.

Interpretation: The presence of silt- to clay-dominated grains observed in the F4

represent suspended sediment load (e.g. Schieber 1999). The observed lustre variations

are reflective of the percentage composition of mineral ratios. Carbonate bioclasts, quartz

and muscovite grain compositions suggest of a mixed terrigenous (detrital quartz and

phyllosilicates) and platform-sourced carbonate grains (bioclasts). Grain orientations

indicate no obvious horizontal grain imbrication to infer quiet settling. Due to deposition

of facies within a turbulent environment, F4 facies could be regarded as low-density

turbulent deposits. Traction-generated structures are present in the inter-laminated and

convoluted intervals of the F5 facies. Additional, the F4 facies were disrupted by events

deposition of F6 facies and sediment load occasionally entrained bioclastic debris. It is

suggested here that the mud deposits are likely deposits of severely damped turbulence

of a dense non-turbulent suspended mud-flow (e.g. McCave & Jones 1988), which is

typical of fluid mud deposition.

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Figure 3.9: Unlaminated clay-dominated mudstone showing (a), core of a dull-lustred mudstone; (b) photomicrograph of apparently homogenous mud and (c) mineral component of F4 constituting calcite, quartz and muscovite (mica) surrounding matrix are dominated by kaolinite.

3.4.1.5 F5- Parallel, planar-laminated to convoluted silt- and clay-rich mudstone

Description: This facies usually contain well-laminated 0.2 to 12 mm thick lamina-

couplets, composed of medium- to coarse-grained silt (calcisiltite) and fine-silt- to clay-

grained (mudstone) (Figures 3.10 & 3.11). Laminations vary, with both parallel planar to

convolute laminae, which are independent of their thickness (<0.2 to 1 cm) (Figure 3.10).

Planar lamina-set geometries are inclined relative to core orientation (20-60°) in both

the MHD8 and MHD18 borehole samples.

Facies thickness can be between 5 to about 10 m. Beds with convoluted laminae may

show strongly distorted bands (Figure 3.11 (d)) of asymmetrical overturned laminae.

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Other features are water escape structures (flame structures), micro-normal and -reverse

faults and small scale over-folds. Internal normal grading is distinctive within the F5

facies. Erosional bases are present with occasional low angle internal micro cross ripple-

lamination (Figure 3.10 (a)). Erosional surfaces are mostly observed on clay-rich lamina

surfaces overlain by silt lamina (Figures 3.10 & 3.11). In thin section, lamina-boundaries

are gradational to sharp with planar and undulatory surfaces (Figures 3.10 (a), 3.11 (b)

& 11 (c)). Silt-rich laminae are dominated by silt-sized quartz and calcite grains while

clay-rich laminae are composed mostly of quartz, muscovite and dolomite crystals

(Figure 3.11 (c)). Silt-rich lenticular structures and the imbrication of clay minerals can

be observed. F5 facies overlies the F4 facies but can be intercalated. This facies is however

absent in MHD 1, 5, 8, 9 and 12 boreholes.

Figure 3.10: Lamina set geometries in planar laminated F5 facies. (A) Showing the resultant effect of intermittent erosion of silt- and clay-rich lamina and formation of internal cross-ripples in silt-rich layers (XL). Clay-rich laminae are susceptible to erosion and easily re-suspended hence apparent erosional surfaces (ES), limited preservation and thin sub millimetre thickness in (A). Evidence of submarine erosion can be seen in the formation of lenticular clasts (LL) from sculpted unconsolidated water-rich muddy sediments. (B) Shows normally graded laminae sets of silt/clay couplets as indicated by the arrows. Silt grade laminae represents traction carpets and suspended load aspects (clay grade lamina) typical of waning turbidity flow. Inclination of laminae may due to post-depositional deformation most likely from a section of convoluted beds.

Interpretation: Planar parallel to internal low-angle cross laminations, normally graded

lamina-sets and occasional internal scours are indicative of the waxing and waning of

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turbidity currents during continued lateral sediment transport (Stow & Shanmugam

1980). Internal ripple laminations in silt-rich laminae may represent periods of tractional

movements during silt-sized particle deposition (Stow & Shanmugam 1980). Mud-rich

laminae deposited in turbulent environments are often easily resuspended by

subsequent turbidity current (Wilson & Schieber 2014). This resulted in the erosive

surfaces on clay-rich laminae. The progressive break-up of clay and silt-rich flocs and a

subsequent increase in fluid turbulence near the boundary layers may result in repeated

laminations and ripples of silt and clay (McCave 1969; Schieber et al. 2007; Schieber

2011a). Multiple cyclical patterns of this overall waning event resulted in thick repeated

successions of silt/clay laminae-sets found in the F5 facies. These silt- and clay-rich

laminated facies can be deposited in distal offshore environments by traction currents.

The soft sediment deformation recorded during basin extensional tectonics (Gawthorpe

& Clemmey 1985) of semi-consolidated planar laminated mud units resulted in

convolution or laminae displacement.

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Figure 3.11: F6 facies showing planar lamination features (a, b & c) and convolute laminations. Carbonate silt-rich lamina overlying clay-rich planar laminae bounded by a sharp erosive in the photomicrograph. SEM micrograph of silt/clay laminae contacts (b) and (c). SEM images highlight the mineralogical variation of a dolomite-cemented (D) mud-rich lamina and a calcite-cemented silt-rich lamina. Effects of soft sediment disruption can be seen in the core sample (d), and in petrographic sections (e) & (f).

3.4.1.6 F6- Unlaminated silt- and bioclast-dominated limestone

Description: Most of the studied core sections show unlaminated silt- and bioclast-

dominated limestone facies interstratified with F5 facies. They are present in MHD3,

MHD5, MHD13 and MHD18 boreholes. These comprise matrix-supported conglomeratic

beds or floatstones with thicknesses from 5 to 30 cm (Figure 3.12). The F6 facies is

typically ungraded to weakly graded and poorly sorted where it passes into F5 facies. No

inverse grading was observed and basal surfaces are slightly erosional. In the microscopic

scale, this facies has large scale imbrication and internal deformation with apparent flow

directions (Figure 3.12). Bioclast components are 50 to 80 % non-segregated crinoidal

fragments (1 to 25 mm crinoid stems, columnals and plates), fragmented gastropods,

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bivalves, bryozoans, corals and rare foraminifers with partial and complete pyritized

cavities in dark grey muddy matrix (Figure 3.12 (b)). These clasts are similar to those in

F1 and are angular to well-rounded shell debris. Muddy matrix components are made of

silt- to clay- sized siliciclastics and micrite similar to F5 facies.

Figure 3.12: F6 facies in core photo (a) showing poorly sorted, conglomeratic fabric. Micrograph examples show clasts of mostly fragmented crinoids, gastropods (Gast.), pyritized shells and other shell debris.(b) and (c) reveals translational lineations (dashed lines) due to internal deformation

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Interpretation: Chaotic, poorly-sorted, floatstones and rudstones with a dark grey

muddy matrix are indicative of high-density muddy debris flow (Payros & Pujalte 2008).

The bioclast types and a dark grey muddy matrix are similar to the F1 facies. The

deposition may be from a proximal unstable gully/scarp or from resedimented slope

deposits. The latter is in this case, due to the internal deformation features observed in

F6 (Figure 3.12) which are typical of debris flow deposits from slumping of earlier

deposited unstable slope lithofacies (Gawthorpe & Clemmey 1985). Interstratification

with F4 facies suggests several episodes of event slope slumping deposition during mud

accumulation.

3.4.1.7 F7- Intraclastic, bioclast- and sand-rich facies

Description: Slightly similar to F6 but more grain-supported, the F7 facies consist of 1 to

8m thick pale to grey breccia beds. The F7 differs significantly with the F6 due to presence

of more abraded lithoclasts with >5cm diameter (beyond core resolution) and sand-rich

matrix. This facies overlies the F5 or the F4 in almost all studied sections except in MHD1,

MHD4 and MHD5 cores. This facies is weathered in most sections with distinctive red

clays in rock crevices. No grading is observed and facies show, sub-angular to sub-

rounded light grey clasts and intraclasts in core observation (Figures 3.13 (a) & (b)). Core

examination reveals intraclast components (lithoclasts) of up to 5cm sized packstones to

wackestone. Clasts and intraclasts comprise of resedimented and remobilised skeletal

assemblage. Recognised skeletal assemblage includes fragments of echinoderms,

bryozoan, calcareous algae, mollusc and benthonic foraminifera. Benthonic foraminifera

is represented by endothyracid and milliolids (Figure 3.13 (c)). Clasts show no obvious

imbrication but thin deformation-related lineation. The matrix may be calcarenite,

wackestone or mudstone but with very low mud content in comparison with F6. The mud

composition is mostly silt-sized quartz and calcite.

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Interpretation: Intraclastic components of gravel-sized packstones and wackestones

represents a reworking of limestone deposits. Given the fossil assemblage of packstones

to wackestone intraclasts, these beds originated from coeval shelves or ramp slopes. The

calcarenitic matrix also shows shallow marine allogenic sources. Deposition is thought to

be by cohesion and/or intergranular frictional freezing from a high concentrated debris

flow (Payros & Pujalte 2008). The abundance of fragmented bioclasts and rounded

lothoclasts indicate likely deposition from proximal unstable gully/scarp of a carbonate

platform. Proximal carbonate platform microscopic allochems included calcareous alge

and benthonic foraminifera which are preserved in the lithoclasts.

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Figure 3.13: Typical F7 facies showing (a) & (b) core images of sub-angular to sub-rounded clasts in mostly sandy matrix. Pencil tip in (a) used for scale. Thin section photograph (c) shows examples of foraminifera (arrow-indicated) present in lithoclasts.

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3.4.2 Facies architecture and depositional geometries

Transects through the Viséan slope succession of Hodder Mudstone can be reconstructed

along the depositional dip (W-E) or at oblique orientations (NW-SE). Three correlation

sections are shown in Figure 3.14 (west-east orientation) and Figures 3.15 and 3.16

(northwest-southeast orientation). The west to east panel spans 3.62 km and correlates

genetic facies across a section of seven cores down the depositional dip. The two

northwest to southeast-oriented cross sections are located towards the east of the study

area and are orthogonal to west-east oriented section. These northwest-southeast-

orientated sections span 1.44 km (Figure 3.15) and 0.54 km (Figure 3.16), respectively.

They are oblique to the basin slope.

Stacking patterns and sediment fabrics display an overall fining-upward basinward

lateral deepening. They represent the transgressive to highstand stratigraphic system (cf.

Riley 1990). Within the borehole transects, facies distributions and stacking patterns are

interpreted from two sedimentary packages. The packages represent two parasequence

sets of the Hodder Mudstone (Upper) and the Clitheroe Limestone (Lower). This

stratigraphic boundary was based on the stratigraphic division and correlation of MHD

1, 3, 4, 5, 8, 11 & 18 boreholes in the Gargstang Memoir (Aitkenhead 1992). The divisions

correlate with the BB-B1 ammonoid biostratigraphic sequence boundary, which divides

the Hodder Mudstone and the Clitheroe Limestone Formations of the Craven Group

(Waters et al. 2009; Waters & Condon 2013). In the studied boreholes, the top of the

uppermost interval is correlated to the B1-B2a band (base of the Bollandoceras

hodderense beds) (Waters & Condon 2013) and serves as the datum surface. The base of

the lower interval was not reached. Due to tectonic uplift and bed erosion, the top B1-B2a

band in MHD1, 4 and 5 cores was indeterminate due to overlying weathered topsoil. For

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clarity, these two parasequence sets are herein termed interval 1 and interval 2. Interval

1 is the lowermost of the studied succession and ranges between 30 to >50 m in thickness

except in boreholes MHD 2, 3, 4, 5, 8, 18 where it was not sampled. Interval 2 represents

the thicker upper section with thicknesses between 60 to 170 m. This facies generally

thins out towards the west of the study area.

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Figure 3.14: Correlation of cores MHD9, MHD12, MHD5, MHD4, MHD8, MHD1 & MHD11 from the proximal (west) to distal (east) of the study area. This 3.62 km transect shows the depositional architecture of the Viséan succession in the study area. The depositional architecture shows a deepening sedimentary sequence both laterally from west to east, and vertically. Interval 1 packages are dominated by resedimented carbonates while interval 2 comprise silt- and clay-rich mudstones. The datum is taken across a regional sequence boundary (B1-B2a) band above interval 2. Notice a possible impact of calciclastic facies in interval 2 muddy deposits in MHD1 that is likely associated with deformation of planar laminated beds in MHD8 and MHD11. Reference to borehole location is shown in inset and reference for figure 3.15 and 3.16 transects. Gradation pattern is F3>F2>F1where F3 is coarser and F1 is finer due to

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Figure 3.15: Northwest to southeast transect across boreholes MHD1, MHD18 and MHD3 in an apparent dip direction. Transect illustrates the depositional architecture of the Viséan Succession oblique to the basin slope. This section highlights the asymmetric thickening of interval 2 facies towards the southeast. There is an increased intensity in convoluted laminae towards the southeast. Location reference for boreholes is shown in Figure 3.14.

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Figure 3.16: Transect illustrating thickening and deepening of interval 2 facies toward an apparent depocentre as seen in Figure 3.15. The intensity of soft sediment deformation also increases towards the deeper section with an apparent impact from debris flow deposits. The locations of core logs are shown in Figure 3.14.

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3.4.2.1 Interval 1

Interval 1 is distinguished from the overlying interval 2 by the dominace of coarse-

grained (gravel- to sand-sized) calciclastic F1, F2 and F3 facies. F1 with muddy matrix is

considered finer than F3 which is composed of sandy matrix, and F2 is intermediate. An

asymmetric, normal and inverse grading is common at the bed scale. Interval 1 is

characterised by <2 to 50 m thick irregular stacked units of F1, F2 and F3 facies. Lamina-

sets vary from packstone to wackestone and mudstone with mud- and sand-rich matrix

(Figure 3.17). A few packages are capped by bioturbated F3 or F4 facies with erosive tops.

The facies assemblage of Interval 1 are generally diachronous cutting through the BB-B1

biozone into Interval 2.

On a bed scale, interval 1 exhibits a wedge-like architecture (Figures 3.15 & 3.16). Facies

thicknesses vary between cores but are generally finer and thinner downslope. Near to

the western basin margin (e.g. MHD9), the non-correlated facies may be components of

Interval 1 but a lack of bostratigraphic data in these boreholes made correlation

impractical. In most cores, the F3 facies forms isolated (up to 8m) dark to medium grey,

fine-grained sand bodies with rare bioclast fragments (figure 3.17). These sand bodies

are structureless and difficult to correlate across cores.

The lateral distribution, stacking pattern and progressive change in bioclast-sizes from

F1 and F2 facies indicate that these are likely genetically related facies. This is also shown

by similarity in muddy matrix composition and skeletal fragments of transported

shallow-water echinoderms, bivalves, gastropods and brachiopods (Figure 3.17).

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Figure 3.17: Continuous core section showing alternation of sand- (light grey) and mud-rich (dark grey) facies of interval 1. Image constitutes facies F1, F2 and F3 distinguished by bioclast content and degree of lamination. Constituent lithologies are mainly rudstones, packstones, wackestones and mudstones. Interval 1 has a general fining upwards trend

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3.4.2.2 Interval 2

Interval 2 overlies interval 1 and is capped by the B1-B2a sequence boundary where

defined (Figures 3.14, 3.15 & 3.16). It principally comprises the F4 and F5 facies with

basal and interbedded coarser-grain facies. Towards regions where the subcrops have

experienced significant erosion, the topsoil overlies this interval (e.g. MHD 1, 4 and 5)

(Figure 3.14). The dominant F4 and F5 facies are comprosed of clay to silt-rich mud with

limited bioclastic grains. This facies assemblage of F4 and F5 varies in thickness between

<20 (MHD 4, 5 and 12) to ~150 m (MHD 18). In general, Interval 2 is thickest towards the

basin’s east and thins out to the west. It is distinguished from interval 1 by the change in

facies from bioclastic-rich facies to fine-grained bioclastic-lean facies. A most striking

feature of the correlation is the apparent geometry of likely channel or a submarine slide

seen in MHD1 core resulting in the convolution of F6 facies in MHD8 and MHD11 cores

(Figures 3.14 & 3.15). Due to sediment gravity flow over unconsolidated sediments, the

underlying planar laminated facies were deformed convoluted and overturned.

Laminated facies are generally closely spaced with a thickness of ~40 m, but may be

separated by up to 20 m of unlaminated F5 facies (e.g. MHD 18). The lateral correlation

of individual planar and convolute laminated units were not be possible from studied ~5

cm-diameter cores. This is due to unknown core orientation along the post-Carboniferous

deformed strata as most inclined laminae may be planar- or convolute- laminated

depending on the section of borehole coring through anticlinal/synclinal structures.

Cores taken through an overturned to recumbent convoluted laminae will have a

horizontal axial plane and may appear horizontally planar in cross section. Likewise,

laminated sections through the lower limb away from the maximum inflection points may

appear sub-horizontal to horizontal. Conversely, lamninated sections will be more

inclined towards the upright fold axis of convoluted laminae.

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Discussion

3.5.1 Carbonate turbidite facies classification

Based on depositional processes inferred from sedimentological elements described

above, facies can be grouped into three units: (1) calciturbidites, (2) densite mudstone

and (3) calcidebrites.

3.5.1.1 Calciturbidites (high- to low-density turbidites)

The calciturbidites facies classification dominates Interval 1. The term calciturbidites

have been used to describe detrital carbonate (calciclastic) deposits deposited via

turbulent flows generated from adjacent active carbonate shelves and along ramp slopes

(e.g. Payros et al. 2007; Ielpi & Cornamusini 2013; Reijmer et al. 2015). Calciturbidite

facies in this study are represented by the F1, F2 and F3 facies, and are characterised by

wavy laminations of interlaminated mud, sand and gravel (which contains skeletal

debris) (Figures 3.4, 3.5, 3.6). Occasional erosional bases may indicate turbulent flows

and erosion of apparently unconsolidated slurry substratum (e.g. Ielpi & Cornamusini

2013). The fossiliferous association and sorting of gravel- to sand-sized shell fragments

in the calciturbidites are indicative of load deposition from fully turbulent sediment-rich

flows (Lowe 1982; Plint et al. 2012; Ielpi & Cornamusini 2013). High-density turbidites

are often characterised by normal to normal-to-inverse grading (Payros & Pujalte 2008)

which was observed in the F1 facies. A reduction in lamina sizes and fluctuation in the

frequency of the erosive wavy laminations in all three facies has previously been

associated with progressive current reworking and erosion (e.g. Ielpi & Cornamusini

2013). Endobenthic colonization as seen in bioturbated F2 and F3 facies indicate reduced

sedimentation, and support the interpretation that these are the tops of turbidity flows

(Savary et al. 2004). Characteristic Chondrites ichnogenus fabric in F2 and F3 is a notable

deep-sea trace in carbonate-rich fine-grained turbidite sequences (Uchman & Wetzel

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2012). Between long periods of successive turbidite deposition, stationary

chemosymbiotic burrowers colonized soupy substrates in dysoxic pore water conditions

producing branched traces typical of Chondrites (Figure 3.7) (Uchman & Wetzel 2011).

3.5.1.2 Densite mudstone (low energy muddy turbidites)

Densite mudstones include deposits of low density cohesive muddy turbidites, mostly

comprising clay flocs and silt grains (sensu Talling et al. 2012). Within the study area, the

F4 and F5 facies are identified components of densite mudstone. Low-density turbidites

are characterised by laminated, fine-grained calcilutite commonly interbedded with

hemipelagic deposits (Payros & Pujalte 2008). Carbonate-silt laminae with characteristic

internal ripples and erosive to non-erosive bases are interpreted to have resulted from

the load deposition of the diluted turbidity currents. Silt/clay couplets are indicative of

the alternation of turbidity flow tails and pelagic sedimentation (Ielpi & Cornamusini

2013). Erosional surfaces with scouring reliefs (Figure 3.10) on most laminae represent

the erosion of sediments by tractional currents mostly below the storm wave base (e.g.

Borcovsky et al. 2017). Tectonic stress increasingly following sediment deposition

resulted in the deformation of parallel planar laminae (Gawthorpe & Clemmey 1985). Soft

sediment deformation could be triggered by any event which causes subaqueous

translational debris flow of unconsolidated or semi-consolidated units. These may be

slump folds associated with mass transport deposits (Shanmugam 2017), the progressive

deformation of detached semi-consolidated slide moving downslope (Cook & Mullins

1983) or from seismically (earthquake and tsunamis) deformed basin plain deposits

(Alsop & Marco 2011; Alsop & Marco 2012; Daigle et al. 2013; Basilone et al. 2016;

Basilone 2017).

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3.5.1.3 Calcidebrite (debris flow deposits)

Calcidebrites are massive, structureless, coarse-grained carbonate debris flow deposits

characterised by poorly sorted, chaotically arranged bioclast-rich units of mud and sand

matrix (e.g. Reijmer et al. 2015). Two facies (F6 and F7) distinguished by their matrix are

distinctive of calcidebrite facies. They may contain muddy matrix as in the case of F6

facies or calcarenitic matrix typical of F7 facies. They are deposited by intergranular

frictional freezing of clast-supported or matrix supported debris flow (Payros & Pujalte

2008). F6 exhibits a high (>30%) mud matrix content with gravel-sized clasts. The less

cohesive F7 has a calcarenitic matrix (20-30% mud matrix) and contain larger brecciated

limestone intraclasts and bioclasts of similar composition with F6 (Figures 3.12 & 3.13).

Mud content enabled cohesive conditions in both facies and was able to transport large

(up to 5 cm) bioclastic limestone intraclasts and disseminated skeletal grains. Both F6

and F7 facies lack grain-segregation and are matrix-supported, indicative of cohesive

freezing in a non-turbulent (laminar) flow (Lowe 1982; Shanmugam 2000).

3.5.2 Depositional setting

Studies on the depositional setting of the Bowland Basin have identified a carbonate

ramp-to-slope depositional setting during the Viséan (e.g. Gawthorpe 1986; R. L.

Gawthorpe 1987; Newport et al. 2017). No clear distinction is made as to what

depositional system controlled sedimentation on the slope. The existing conceptual

models made no reference or argument in presenting a case for either a carbonate apron

sediment deposition (Mullins & Cook 1986; Stow & Mayall 2000) or a calciclastic

submarine fan sediment deposition (Payros & Pujalte 2008). Submarine fans are

distinctive constructional sea floor features that developes seawards from a single source

such as canyon, gully or a trough along the base-of-slope (Payros and Pujalte 2008). A

carbonate apron, however, is characterised by sediment gravity flow produced by linear

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mass wasting failures which moves downslope until “frozen” on a flat area (e.g. base-of-

slope) or a topographic obstacle along slope (Mullins & Cook 1986; Payros and Pujalte

2008). Due to the common usage of the slope apron and base-of-slope apron models in

describing calciclastic slope systems (Payros & Pujalte 2008), it is likely that the previous

descriptions of the Bowland Basin Viséan slope facies were made assuming one or both

of the carbonate apron systems. The model of a classic calciclastic fan model seems to

adequately fit the observed sedimentological features and the sedimentary architecture

presented in this study. One argument for this interpretation is that calciclastic

submarine fan systems are generally characterised by the presence of high-and low-

density turbidites, muddy- and hyper-concentrated debris flow deposits and low energy

hemipelagic sediments (Payros & Pujalte 2008). Secondly, low-density turbidites are

relatively abundant and there is a paucity of high-density turbidites (e.g. Ielpi &

Cornamusini 2013). Finally, the carbonate-slope environment during the deposition of

the Viséan sediments in the Bowland Basin is interpreted to have a gently-dipping slope

(Gawthorpe 1986; R. L. Gawthorpe 1987). The low angles of distally steepened carbonate

ramps (generally <5°) are fundamental to the formation of calciclastic submarine fans as

higher angle slopes would result in the formation of slope aprons (Payros & Pujalte

2008). For example, in steep slopes as common in apron deposits, off rimmed-shelves

gullies do not merge downwards into channels and gravity flows tend to deposit their

sediment linearly at any point of the base of the slope (payros & Pujalte 2008). Deposits

of calciclastic submarine fans are distinguished by several sedimentary components

(Mutti & Ricci Lucchi 1972; Payros et al. 2007; Payros & Pujalte 2008; Reijmer et al.

2015). They are mostly made up of calciturbidites and debrites fed by single or multiple

point-sourced feeder channels (Payros & Pujalte 2008). The recognition of the main

facies assemblages in the study area and their relative lateral and vertical positions are

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typical of environments within a calciclastic submarine fan systems (Figure 3.18).

Between the proximal carbonate platform edge and the basin plain in a calciclastic

submarine fan systems, three major depositional environments exist: (i) the inner/upper

fan, (ii) the middle fan and (iii) the outer/lower fan (Figure 3.18). The succeeding

discussions evaluate the sedimentary environments within the proposed calciclastic

submarine fan system of the Viséan Bowland Basin facies.

3.5.2.1 Submarine floor fan setting

High- to low-density turbidites as discussed in the preceding section are represented by

the F1 – F3 facies calciclastic sequences. Calciturbidite facies can be found in all three

depositional environments of the fan system and may be deposited during lowstand to

highstand platform shedding through slope tributary gullies and channels (Betzler et al.

1999; Payros & Pujalte 2008; Ielpi & Cornamusini 2013). Lowstand turbidites are

characterised by the mixture of shallow water skeletal components and pelagic

componenets while highlstand turbidites are more laterally extensive dominated by

shallow water skeletal debris (Beltzer et al. 2000). Within the study area, facies present

deposits of a lowstand to highstand event which correlate with the late Chadian to early

Arundian rifting and basinal extension (Gawthorpe 1987). The mixture of shallow water

echinoderm fragments (e.g. crinoids) and pelagic sediments (e.g. calcareous algae) in

calciturbidite facies and the calcidebrites are indicative of lowstand systems. In most

cases, sediments are dominated by periplatform skeletal debris while pelagic

components are rare.

The boreholes of this study show an increase of muddy matrix in calcituburditie facies

towards the southeast of the study area (Figure 3.14). Mostly characterised by fining-

thing upwards sequence of high- to low-density turbidites. These deposits show a

textural trend of a basinward deepening of facies along the apparent depositional dip.

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Leeder and Gawthorpe (1987) suggested a distally steepened ramp slope profile for the

Bowland Basin which are known to enhance the formation of slope tributary gullies and

the subsequent formation of slope feeder systems in calciclastic fan systems (Payros &

Pujalte 2008; Tournadour et al. 2017). Although such sedimentary profile could not be

established in this study, the slopeward decrease in thickness and generally finning-

upward Interval 1 packages recognised in the studied succession is typical of slope feeder

channels deposits (e.g. Savary 2005; Vigorito et al. 2006; Payros et al. 2007). Slumps,

debrites and high-density turbidites are typical of channelized feeder system in mud-rich

calciclastic fan systems (Patros & Pujalte 2008). Feeder channels are located in inner- and

mid-fan environments (Figure 3.18) and are characterised by leveed channels and

braided channel axis (Vigorito et al. 2005; Vigorito et al. 2006; Payros et al. 2007; Payros

& Pujalte 2008). The intercalation of debrites and sand-rich high-density turbidites as

observed in MHD 9, 12, 5, 4 and 11 are typical of coarse-grained facies found along the

channel axis of feeder channels (e.g. Ielpi & Cornamusini 2013; Payros & Pujalte 2008).

The high-density finer-grained turbidites with muddy matrix were likely deposited along

the marginal levees (e.g. Ielpi & Cornamusini 2013).

Muddy facies (F4 and F5) of interval 2 generally indicate low-energy, deep-marine

conditions. Texturally, these deposits range from unlaminated to planar-laminated beds.

The interaction of the calciclastic and hemipelagic deposits in muddy F4 and F5 facies

indicate the interaction of turbidity fan and pelagic sedimentation within the peripheral

fan fringe in deeper waters (e.g. Payros et al. 2007; Ielpi & Cornamusini 2013).

Sedimentation within this environment is characterised by low-density turbidites

interbedded with basin plain deposits (Payros & Pujalte 2008). This depositional setting

suggests a basin plain intersected by the distal influence of turbidity flows. The

occurrence of randomly intercalated F6 and F7 facies in both intervals points to the

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occasional impact of sediment slides and slumps during deposition (Figure 3.19). These

events may also be responsible for soft-sediment deformation of F5 facies as studied by

Gawthorpe and Clemmey (1985) (Figure 3.19). Such events beds were not restricted to a

particular region of the submarine fan system. Additionally, the Bowland Basin was

bounded to the southeast by a steeply-dipping footwall (Figure 3.2) margin which may

influence soft-sediment deformation (Figure 3.20).

The sedimentary elements and architecture of the described facies, present similar facies

variation comparable to that of a medium-grained, medium-sized calciclastic submarine

fan model (Payros & Pujalte 2008). The submarine model for the studied succession is

classified herein as a multiple-source, lateral-feeding submarine fan system.

Figure 3.18: Schematic illustration of major depositional environments existing in a muddy calciclastic submarine fan system with multiple sediment sources. Illustration is adapted from Mud-rich multiple source ramp model of Stow & Mayall (2000) and the calciclastic model of Payros & Pujalte (2008). Mud–rich fan models are characterised by extensive sheets.

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Figure 3.19: Models (not drawn to scale) for soft sediment deformation within the basin as adapted from Gawthorpe & Clemmey (1985). Model (a) is a typical pervasive deformation of slide sheets; (b) Deformation concentrated on glide planes; (c) concentrated deformation in lower part of slide. The F5, F6 and F7 facies seen in interval 2 are most likely associated with soft sediment deformation.

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3.5.2.2 Depositional Model

The depositional setting of the studied Viséan Bowland succession was influenced by a

combination of several factors: (1) extensional basin tectonics which tilted fault blocks

and controlled sediment transport, deposition, erosion and episodic remobilization of

sediments; (2) sea-level rise and drowning of carbonate platform; (3) high rates of

sediment production and transport from shallow marine carbonates.

Studies show that a carbonate slope, deepening towards a south-eastern basin-margin

fault developed during the Late Tournaisian (R. L. Gawthorpe 1987). An isometric,

southeast distally steepened slope bounded at the southeast edge by a footwall scarp was

a resultant effect of this basinal extension (Figure 3.20). Depositional architecture

observed from west-east transect (Figure 3.14) indicates a low-angle, gently-dipping

slope with southerly directed density flow deposition. The observed high rates of coarse-

grained calciclastic accumulations are typical of distally steepened carbonate ramp-

slopes (Burchette & Wright 1992; Pomar et al. 2004). Calciclastic slope sedimentary

accumulations are easily built close to the slope break due to the efficient transport of

outer ramp sediments via sediment gravity flows along the slope (Payros & Pujalte 2008;

Mulder et al. 2017). Downslope funnelling of sediments is also known to be enhanced in

areas of tectonically-controlled seafloor topography (Payros & Pujalte 2008).

The footwall-to-hanging wall basin margin located to the distal southeast of the basin was

also characterised by gravity flow deposition from slumps, debris flows and submarine

fans from the steep-sloped footwall escarpment (Figure 3.20) (Leeder & Gawthorpe

1987; R. L. Gawthorpe 1987). The location of the study area may have been affected by

the footwall scarp deposition. However, the extent of these footwall-derived sediments

and their interaction with the described facies could not be determined in this study.

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The deposition of interval 1 with abundant shallow water allochems indicates allogenic

sediment deposition which is the product of sea-level low-stand deposits. The shedding

and redeposition of calciturbidites along distally steepened ramp are mainly regarded as

the response to low sea-level (e.g. Betzler et al. 1999; Reijmer et al. 2015). With a

progressive rise in sea-level, the erosion of shallow water carbonate debris is reduced

and turbidite shedding is suppressed (Reijmer et al. 2015). This is indicated in the studied

succession by the transition from Interval 1 to Interval 2. Grain-rich (bioclastic)

accumulations are dominant features of calciclastic submarine fans and sediments are

transported to the slope though sediment gravity flows (Payros & Pujalte 2008). Previous

studies on the Bowland Basin and early Carboniferous carbonate platforms reveal

shelves dominated by crinoid banks and Waulsortian mounds (Gawthorpe 1986; Wright

& Faulkner 1990; Wright 1994; Kammer & Ausich 2007). The fragmented and abraded

grain components are evidence of sediment shedding from a proximal shelf to slope.

Erosion of platform shelves results in the downslope transport of calcareous debris (e.g.

Loucks & Ruppel 2007). Alternating wavy laminations consisting of fragmented skeletal

debris and fine- to medium-mud, indicates mud-rich environment with intermittent,

high-energy resedimentation events (e.g. Plint et al. 2012; Abadi et al. 2015; Reijmer et

al. 2015). The distribution of gravel- to sand-sized grains and grain imbrication within

calciturbidites of interval 1 (Figures 3.4, 3.5 & 3.6) are products of rapid deposition of

bed load and suspension settling of grains in the depocentre (Bhattacharya et al. 2014;

Bohacs et al. 2014). Also associated with wavy-laminated facies are bioturbated lamina-

sets dominated by Chondrites ichnofabric (Figure 3.7). Sediment substrate was hence

sufficiently fluidized (70 – 75%) to enable traces typical of “sediment swimmers”

(Schieber 2003). These traces are also considered to be pre-lithification burrows

indicative of escape activity (Uchman & Wetzel 2011) and irregular periods of slow, low-

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energy sedimentation between high energy depositional events (Schieber 1999). The

high mud content of the facies is likely to be attributed to high fallout rates and/or high

influx of terrigenous mud. The occurrence of both calciclastic and siliciclastic components

is equally suggestive of mixed terrigenous feeding system depositing largely muddy

sediments.

The densite mudstones of interval 2 comprise a mix of bed-sets with thick-bedded mud

containing planar to convoluted laminations (Figure 3.11). Fluid mud processes

prevailed as turbulence dampened depositing thick mud sequences. The action of

submarine traction currents resulted in planar, parallel laminations with internal cross

ripples (Figure 3.10) typical of tractional sediment reworking (e.g. Ielpi & Cornamusini

2013). Calcareous silt-rich lenticular structures and the imbrication of clay minerals

within laminae of F5 reinforces the evidence of sub-aqueous erosion in water-rich muddy

sediments (Schieber et al. 2010; Kase et al. 2016). Micro-pelagic remains of sponge and

radiolarian tests show evidence of hemipelagic settling. The interval 2 facies package

thickens downslope (Figure 3.14, 3.15 & 3.16) illustrating the textural transformation

from underlying wavy-laminated, coarse-grained fabric to unlaminated and parallel,

planar-laminated mudstone fabric.

Calcidebrite facies are deposits of short-lived sediment slump events. The occurrences of

F6 and F7 facies at varied intervals may suggest periods of highly mobile muddy to hyper-

concentrated debris flow events that deposited the coarse-grained F6 facies within a

mud-rich matrix. Submarine slide deformation may like be associated with calcidebrite

flow as observed in Figure 3.19. Although characterised by a gently-dipping slope, fault-

controlled instability allowed for slope destabilization and soft sediment deformation.

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The proximity of a depocentre to the adjacent footwall margin is likely to have influenced

debrite deposition.

Due to the synsedimentary tectonic influence on basin physiography, a multiple (point)

source complex fan system may have developed within the Bowland Basin. It is proposed

in this study that a multiple source ramp (Stow & Mayall 2000) with frequent fault-

controlled physiography influenced the formation and deposition of channelized

submarine fan complex (Figure 3.20). The lateral distribution of facies also indicates an

asymmetric areal distribution pattern of the Viséan Succession as highlighted by

Gawthorpe (1987).

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Figure 3.20: (a) Sketch map of Bowland Basin during regional erosion in the Early Visean from Riley (1990) with study area located in green spot. (b) Graphic reconstruction of the main depositional environments and possible processes responsible for the facies of the studied Bowland Basin Viséan succession. Deposition was tectonically controlled with influx from biogenic and terrigenous sediments deposited along slope and basin plain. Calciturbitic flows were responsible for the deposition of calciclastic sediments along channel and levee

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complexes and floor fans. Hemipelagic fallout and mud-rich turbidite cloud produced muddy deposits across the depositional environment. Slope failures resulted in debris flows and soft sediment deformation

Conclusion

This study has highlighted distinct facies and sedimentary features typical of submarine

gravity flow deposits. These facies are grouped into three carbonate turbidite members,

namely: calciturbidites, densite mudstone and calcidebrite. The calciturbidites and

caclcidebrites represent calciclastic deposits comprising mainly of bioclasts and

lithoclasts set in a muddy to a sandy matrix. Bioclast compositions are mostly shallow

water fauna and range in size from fine sand to pebble. They include fragmented tests of

organisms of shallow water origin including echinoderm (mainly crinoids), mollusc,

brachiopod, benthic foraminifera (endothyracid, nummulitids and milliolids), bryozoans,

corals and calcareous algae. Lithoclasts are however made of packstone and wackestone

granules also of shallow water origin. Densite mudstones include deposits of waning, tail-

end of turbulence and hemipelagic fallouts. Laminated sections within the densite

mudstone show evidence of soft sediment deformation of gravity flow deposits.

The evidence for a calciclastic submarine fan depositional systems for the studied facies

is supported by the presence of (i) facies architectural elements typical of calciclastic

floor fan setting; (ii) sediment interruption of siliciclastic to calciclastic channel-like sand

facies during mud deposition; (iii) calciclastic and siliciclastic components suggestive of

mixed terrigenous and upper carbonate slope tributary channel feeding system. The

described sedimentary architecture presents a medium-sized, syndepositional tectonic-

controlled submarine fan complex.

Facies were largely deposited along a distally steepened ramp slope (mid-to-outer fan

setting) to basin plain environments. Basin physiography was controlled by

synsedimentary tectonics and may have resulted in an asymmetric depositional sequence

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of high- to low-density turbidites and event debris flow beds. Mud-rich high- to low-

density turbidites (i.e. high-efficiency turbidity currents deposits) were invariably

overlain by basin plain sediments.

This study has presented additional data for the evidence of ancient carbonate submarine

fan systems within the Carboniferous back-arc basins on central Britain. It has also

documented the distribution and variation of a calciclastic and muddy turbidite facies

sequence from the interaction of sea-level variations and extensional tectonics on a

distally steepened carbonate ramp.

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Chapter 4 Diagenetic Evolution in the Carbonate-

and Siliceous-rich Hodder Mudstone

Formation, Bowland Basin, UK

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4 Diagenetic Evolution in the Carbonate- and Siliceous-rich Hodder

Mudstone Formation, Bowland Basin, UK

Timothy M. Ohiara1, Kevin G. Taylor1, Patrick J. Dowey1

1 School of Earth and Environmental Sciences, the University of Manchester, Oxford Road,

Manchester M13 9PL, UK

Keywords: Hodder mudstone, diagenesis, cement, mineral, carbonate, silica

Abstract

Physicochemical processes of silicate and carbonate mineral diagenesis and organic

thermal maturation in mudstones are still enigmatic. Within mudstones, mineral phases

of silicate and carbonate minerals attain chemical equilibrium at varying temperature

and pressure conditions. These reactions, respond differently across the inherent

anisotropic rock matrix. The resultant effect of these processes controls the fluid storage

and flow capacity of mudstones as unconventional reservoirs. To evaluate such

syngenetic and diagenetic processes that influence textural and mineralogy anisotropy

within mudstones, a rich dataset of high-resolution petrography from core samples

combined with TOC, Rock-Eval and X-ray-based geochemical data from a silicic-

/calciclastic Carboniferous mudstone of the Bowland Basin, UK, have been examined in

this study. Primary sedimentary component of analysed samples comprised intrabasinal

skeletal debris, microscopic biogenic detritus and extrabasinal silt- and clay-sized

siliciclastic (quartz and muscovite) detritus. Diagenetic minerals are dominated by

microbially-induced early diagenetic cements (calcite, dolomite, siderite, ankerite and

iron sulphides), kaolinite, illite and authigenic quartz. Organic and thermal maturation

analysis show an organic maturity between the oil and gas window with an average TOC

content of 1.5% from mixed Type II/III organic matter. Sediments were preserved in a

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generally anoxic setting with intermittent euxinic and dysoxic periods. Primary

depositional components controlled facies variation and subsequent geochemical

alterations. Early diagenetic kaolinite, pyrite and carbonate mineral precipitation

occurred prior to compaction. Dolomite nucleation and precipitation mediated by early

organogenic processes dominated organic/clay-rich units. Silica authigenesis was

significant during burial and was mainly aided by opal A-CT transformation and clay

mineral reactions. The presented analyses show complex mineral instability and facies-

controlled chemical reactivity with localised aqueous mass transport during burial.

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Introduction

Over the past two decades, mudstones have been exploited as hydrocarbon reservoirs

within unconventional plays and have also been considered for long term geological

storage of nuclear waste and CO2 (Powell et al. 2010; Wang et al. 2011; McGlade et al.

2013; Neuzil 2013a; Melikoglu 2014; Hendry et al. 2015). Mudstones are complex

(heterogeneous, variable composition, organic-rich, poorly crystalline, small grain sizes,

variable low porosity and ultra-low permeability) and there is also added complexity

resulting from post-depositional processes (Schieber 1999; Macquaker & Howell 1999;

Bohacs et al. 2005; Macquaker et al. 2007; Aplin & Macquaker 2011; Milliken et al. 2012;

Macquaker et al. 2014; Taylor & Macquaker 2014). Although not easily discernable, the

compositional variability in mudstones has been shown to be important in large-scale

stratigraphic units from outcrop and core studies to nanometre-scale microfacies using

several imaging techniques (e.g. Macquaker et al. 2007; Schieber 2011a; Lazar et al.

2015). These observed variations in composition, mineralogy and texture have economic

and environmental implications for the industrial utilization of mudstones, especially in

predicting mudstone porosity, permeability and mechanical properties in

unconventional hydrocarbon reservoirs. Understanding these compositional variabilities

is also vital in considering mudstones as efficient geological barriers for the storage of

spent high-level nuclear waste (Neuzil 2013a) and carbon capture and storage sites

(Armitage et al. 2016).

Diagenesis significantly impacts textural and compositional heterogeneity in mudstones

(Milliken et al. 2012; Milliken & Day-Stirrat 2013; Macquaker et al. 2014; Taylor &

Macquaker 2014). The products of diagenetic reactions control the degree of cements in

pore spaces and affect mechanical properties such as brittleness and ductility

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(Macquaker et al 2014). The controls on geochemical processes responsible for these

compositional changes and the ways in which mineral transformations affect mechanical

properties in mudstones are still uncertain (e.g. Macquaker et al. 2014; Chalmers & Bustin

2015; Schieber 2016b). For example, both detrital quartz and authigenic quartz are

abundant in mudstones (Blatt 2003), but the controls on silica cementation in mudstones

are still largely unclear. Data from Dowey and Taylor (2017) reveal the effect of pressure

solution on silica cementation. Earlier studies by Thyberg et al (2010) and Thyberg and

Jahren (2011) have shown the importance of clay mineral reactions such as

illite/smectite to illite and kaolinite to illite in maintaining silica saturation in pore fluids

during burial. Other pieces of evidence suggest the alteration of concentrated biogenic

amorphous silica from radiolarians tests, sponge spicules and diatoms as a significant

control to silica authigenesis (e.g. Schieber 2000; Milliken et al. 2016). These studies

reveal that questions still remain about the origin, mobility and precipitation of

authigenic silica in mudstones.

To evaluate the industrial utilization of mudstones there needs to be a fuller

understanding of mineral authigenesis, the geological controls and their impact on rock

properties. The Hodder Mudstone is a Lower Carboniferous carbonate- and siliciclastic-

rich mudstone in the UK and has been assessed as a prospective shale gas resource

(Andrews 2013; Clarke et al. 2018). Deposited in a carbonate slope-to-basin transition

within the study area, the Hodder Mudstone constitutes a mixed extrabasinal- and

intrabasinal-derived clastics (Gawthorpe 1986). They are characterised by periplatform

skeletal debris and sand- to silt-sized quart and muscovite (Vhapter 3). Detailed works

on basin tectonics, stratigraphy, sedimentary fabric and facies distributions have been

conducted by several authors (e.g. Gawthorpe 1986; Fraser & Gawthorpe 1990; Riley

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1990; Newport et al. 2017; Chapter 3), but, there has been no previous research on the

diagenetic development of this mixed calciclastic and siliciclastic mudstone.

This study posits evidence from high-resolution petrography (ultra-violet light

microscopy, SEM), mineralogy (XRD) and geochemical data (XRF, EDS, EPMA, RockEval

pyrolysis) to understand and characterise the diagenetic events of the Lower

Carboniferous Hodder Mudstone succession. This chapter interprets the diagenetic

evolution and the resulting minerals and textures within the Hodder Mudstone. Secondly,

it argues the abundance of authigenic quartz cement as an integral component in these

rocks and discusses the likely origin, geological controls and timing of authigenic quartz.

Study area

The Bowland Basin also referred to as the Bowland Trough (Waters et al. 2009) or Craven

Basin (Fewtrell & Smith 1980; Aitkenhead et al. 1992; Fraser & Gawthorpe 2003) is

located in Lancashire, north-western UK. Morphologically, the basin is a NE – SW –

oriented half graben tilting to the south and is structurally bounded to the north by the

Bowland High (Gawthorpe 1986; Fraser & Gawthorpe 2003), Lake District Massif and the

Askrigg Block (Hudson 1933; Gawthorpe 1986). The southern boundaries are the

Pennine/Pendle Fault and the Central Lancashire High (Figure 4.1). Subsequent to the

early Carboniferous lithospheric stretching of British/Irish Hercynian foreland and basin

formation, sediment deposition began in the Bowland Basin by the late Devonian (Fraser

& Gawthorpe 1990). The Bowland basin-fill constitutes Tournaisian to Stephanian

carbonate and terrigenous clastic lithofacies developed by the interplay of glacio-eustatic

sea-level fluctuations and tectonic events (Aitkenhead et al. 1992; Fraser & Gawthorpe

2003). Due to regional progressive uplift within the Pennines, post-Carboniferous

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sediments were barely preserved in the Bowland Basin sequence (Aitkenhead et al.

1992).

The Bowland Basin holds an estimated 1300 TCF of total original gas in place (Clarke et

al. 2014). The gas-bearing section of the basin is >6000ft (1800m) thick unit of Viséan to

Namurian strata, predominantly hemipelagic mudstones and thinly laminated calcareous

turbidites (Fraser & Gawthorpe 1990; Andrews 2013). Of preferred interest to this study

is the Viséan aged syn-rift fine-grained sediment density flow deposits of Hodder

Mudstone Formation. The Hodder Mudstone forms the basal section of the Bowland-

Hodder shale gas resource play. The Hodder is reportedly the thickest section within the

shale gas play (Brandon et al. 1998; Waters et al. 2009).

Figure 4.1: Location map of the Bowland Basin, showing major bounding faults (dashed lines), the Bowland High on the north-western basin margin and the Central Lancashire High to the southeast. Study samples were taken from the MHD boreholes. Map modified after Evans and Kirby (1999). Red-filled triangles are location

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of key hydrocarbon exploration wells onshore Bowland Basin, and green-filled triangles are location studied borehole cores.

Research data and methods

A suite of samples from ten borehole cores retrieved from a mineral exploration project

around the Bowland Basin area (Aitkenhead et al. 1992) were prepared for petrographic

and geochemical analyses. Samples originated from cores drilled by BP minerals for solid

mineral prospecting. Currently stored at the BGS core repository, Nottingham, UK, these

retrieved samples represent a range of lithologies in the Lower Carboniferous Hodder

Mudstone. Sampled depth points and analysis can be found in the Appendix. Petrographic

data from conventional transmitted polarized light optical microscopy and scanning

electron microscopy (SEM) were acquired from 50 polished thin sections from 41 depth

points cut perpendicular to bedding. Optical photomicrographs were taken from a Nikon

Eclipse E200 ultraviolet polarized light microscope at the University of Manchester.

Images were mostly taken in crossed nicols for identification of >40µm sized mineral

grains using their optical extinction angle and birefringence properties.

Thin section slides were further carbon-coated and examined at the University of

Manchester using a Philips XL30 FEG Environmental Scanning Electron Microscope

(ESEM) equipped with EDAX Gemini EDS analyser for qualitative elemental composition

analysis. The machine was set to operate at 15 KV accelerating voltage and spot size of 4.

Captured SEM images provided high resolution topographic scanned images favourable

for analysing compositional variability and crystalline structure. Diagenetic

reconstruction utilizing basic cross-cutting relationships of identified mineral forms and

mineral crystal growth was possible from back-scattered electron (BSE)-mode

micrographs.

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Digital X-ray mineral mapping was performed on the samples using a JEOL JXA-8530F

Field Emission Electron Probe Microanalyzer (FE-EPMA) located in the School of

Materials, University of Manchester. The apparatus is equipped with a Field Emission

Scanning Electron Microscope (FE-SEM), wavelength-dispersive spectrometer (WDS)

and a JEOL panchromatic cathodoluminescence (CL) system fitted with a NIR filter (for

monochromatic image output of CL signals). The beam was set to run on 20 KV

accelerating voltage and a beam current of 100 nA. Fe, Si, K, Na and Mg mineral maps

were scanned simultaneously using the thallium acid phthalate (TAP) crystal-fitted WDS.

Ca and Al were mostly abundant and observed under EDS using the SEM apparatus. Total

image collection time per sample was approximately 6.5 minutes. Collated images aided

the evaluation of magnesium-rich carbonates grains and the distinction of detrital and

authigenic silica. Statistical pixel filtering using Matlab R2018a was performed on 12

selected SEM and SEM-CL images (6 each) to quantify the percentage by area of

authigenic to total quartz content. A threshold of grey scale values for quartz minerals in

the samples was determined and used to run an image segmentation script for area

determination.

For bulk, whole rock XRD mineral analysis, 72 samples were crushed using an agate

pestle and mortar to produce <65 µm sized powdered specimen. 0.2 g of each powered

samples were mixed with ~1ml of a volatile organic solvent (iso-amyl acetate) to produce

a slurry-smear mount on a glass slide. Samples on glass slides were air-dried and

analysed on a Bruker D8 Advance Diffractometer at the University of Manchester. The

diffractometer is equipped with a Göbel mirror, a Lynxeye sensitive detector and an X-

ray tube emitting monochromatic CuKα1 X-rays with 1.5406Å wavelength. Scanning

mode for each step was set from 5°-70° 2Ɵ of the diffracted beam, with a step size of 0.02°

and a count time of 0.2 seconds. Generated diffraction peak profiles were evaluated using

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the EVA version 4 software. These were compared mineral standards from the

International Centre for Diffraction Data (ICDD) database. Quantitatively, peak intensities

of minerals were measured from X-ray diffraction data using the Bruker TOPAS software.

For trace and major elemental analysis, 12 grams of 67 crushed samples representing the

wide range of facies within the studied section were analysed. The analysis was carried

out on 15g pelleted samples (12g powdered sample and 3g of non-reactive wax binder)

using PANalytical Axios sequential X-ray Fluorescence Spectrometer at the University of

Manchester. The use of element geochemical indices, especially trace metals, in

paleoredox environmental reconstruction and provenance studies, have been successful

(e.g. Jones & Manning 1994; Böning et al. 2004; Tribovillard et al. 2004; Abanda &

Hannigan 2006; Tribovillard et al. 2006; Rimstidt et al. 2017; Haddad et al. 2018). The

covariation of both major and trace elements was examined in this study for the

reconstruction of paleoproductivity and paleoredox conditions. Quantitative data of

major elements from XRF analysis were acquired using Omnian analytical software for

11 major elements Na, Mg, Al, Si, P, S, Cl, Ti, Ca, Fe and K in their respective oxide species.

The Pro-Trace element analytical software was utilised to determine accurate net

intensities of 35 trace-elements and 5 rare earth elements in each sample.

2 g aliquots of 30 visibly organic-rich samples were crushed and analysed for TOC using

the Leco method at Applied Petroleum Technology (APT), Norway. Samples were initially

treated with 10% (vol.) concentrated HCl acid to remove carbonate components before

being introduced to a Leco SC-632 combustion oven. The amount of carbon was

determined by measuring the amount of carbon dioxide using infrared detection.

Analytical procedures for this analysis followed the Norwegian Industry Guide to Organic

Geochemical Analysis (NIGOGA) guidelines (Weiss et al. 2006). Rock-Eval data was

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acquired using the HAWK apparatus at the Applied Petroleum Technology (APT),

Norway, from 12 representative aliquots. A Jet-Rock 1 sample was run intermittently as

a standard and checked against the acceptable range given in NIGOGA. Results from Rock-

Eval pyrolysis provides information on generated and residual hydrocarbons using the

amounts of hydrocarbon and CO2 released per gram of sample at reference temperatures

under laboratory maturation (Espitalié et al. 1977). These proxies in conjunction with

TOC data served as input values for the determination of organic matter type,

hydrocarbon source potential and quality (S1, S2 and S3 peaks), and source rock thermal

maturity (Tmax).

Results

4.4.1 Lithology description

Analysed samples of the studied Hodder Mudstone core constitute grey to dark grey,

conglomeratic and mud-rich rocks. Most samples contain gravel-sized to fine-grained

(<100µm) macro-skeletal fragments of echinoderm, mollusc and gastropod. Beds exhibit

lamina- and bed-scale gradation from conglomeratic, light-grey units into finer-grained,

dark-grey, mud-dominated units with intermediate sections of sand- and silt-rich beds.

Wavy, discontinuous but parallel laminations are distinctive of the conglomeratic beds

and the sand- to silt-rich sections. Clay-rich units are characteristically unlaminated to

planar parallel- and convolute-laminated sections. Nodules, fractures and bioturbation

are also characteristic features within the studied horizons. For ease of data analysis,

samples were texturally classified into three groups: (1) clay-rich lithologies (CR), (2)

sand-& silt-rich lithologies (SR), and (3) argillaceous-bioclastic & sand-rich calcareous

lithologies (BR). A summary log of lithologic description from representative borehole

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core (MHD13) is shown in Figure 4.2. A comprehensive description of facies within the

study area can be found in the previous Chapter.

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Figure 4.2: A representative core lithologic log from borehole MHD13 showing textural variations in lithology and sedimentary structures

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4.4.2 Bulk XRD composition

Mineral components from XRD bulk analysis of the samples include calcite, dolomite,

siderite, ankerite, quartz, albite, muscovite, kaolinite, chlorite, pyrite and marcasite

(Table 5). Qualitative diffractograms and bulk mineral data are presented in the Appendix

2. Bioclastic-rich lithologies are dominated by carbonates with lesser amounts of quartz

and phyllosilicate minerals. On average, calcite makes up about 67 wt. % of total mineral

content in BR samples but progressively lower content in SR (45 wt. %) and CR (35 wt.

%) samples. Quartz is lower on average in BR samples (19 wt. %) than in SR (26 wt. %)

and CR samples (27 wt. %). An increase in silica content within silt-rich samples occurs,

although samples are generally dominated by carbonate minerals. On the ternary

diagram (Figure 4.3), clay-rich samples plot across the spectrum with variable

mineralogical content due to the presence/absence of isolated bioclastic fragments and

differing amounts of micro-fractures and calcite cement. Other accessory minerals

occurring in the Hodder Mudstone samples include fluorapatite and albite (Table 5).

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Minerals (weighted fraction) CR (n=30)

SR (n=15)

BR (n=27)

Carbonates Calcite (Wt. %)

Min. Max.

1 85

0 93

26 99

Dolomite (Wt. %)

Min. Max.

0 0

0 5

0 22

Siderite (Wt. %)

Min. Max.

0 4

0 0

0 0

Ankerite (Wt. %)

Min. Max.

0 30

0 54

0 8

Tectosilicates Quartz (Wt. %)

Min. Max.

2 47

0 83

0 39

Albite (Wt. %)

Min. Max.

0 8

0 6

0 7

Phyllosilicates

Muscovite (Wt. %)

Min. Max.

0 44

0 44

0 26

Kaolinite (Wt. %)

Min. Max.

0 20

0 7

0 15

Chlorite (Wt. %)

Min. Max.

0 11

0 2

0 6

Sulphides Pyrite (Wt. %)

Min. Max.

0 5

0 6

0 5

Marcasite (Wt. %)

Min. Max.

0 1

0 0

0 2

Phosphate Fluorapatite (Wt. %)

Min. Max.

0 2

0 0

0 0

Table 5: Weighted percentage mineralogical data from XRD bulk analysis. See Appendix for raw data.

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Figure 4.3: Ternary plot of minerals by textural variations. Samples are dominantly carbonate rich with high tectosilicate and phyllosilicate fractions in clay-rich lithologies. Although carbonate cemented, very high (> wt. 80%) carbonate content of most clay-rich samples are due to carbonate cemented micro fractures and occasional shell fragment.

4.4.3 Palaeo-environmental proxies

Alterations in trace metals within sediments are known to occur in a predictable manner

(Abanda & Hannigan 2006). A reconstruction of paleoredox environmental conditions

was deduced in this study by normalizing trace-element concentrations to aluminium

content, and calculating enrichment factors of redox-sensitive trace elements (Cd, Co, Cr,

Cu, Mo, Ni, U and V) with reference to average shale compositions (Enrichment Factor

(𝐸𝐹𝐸𝑙𝑒𝑚𝑒𝑛𝑡 𝑋) = 𝑋/𝐴𝑙2𝑂3𝑠𝑎𝑚𝑝𝑙𝑒

𝑋/𝐴𝑙2𝑂3𝑎𝑣𝑒𝑟𝑎𝑔𝑒 𝑠ℎ𝑎𝑙𝑒

; (Tribovillard et al. 2006)). The studied samples were

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retrievd from Pb-Zn ore mineral exploration, hence, trace elements which may occur as

sulphide minerals (e.g. Pb-Galena, Zn-Shalerite) were not utilized. The Pb and Zn ore

deposits may be linked to the hydrothermal processes similar to the Carboniferous Irish

Midland Basin (e.g. Wilkinson et al. 2005). These hydrothermal deposits are localised in

the cparser-grained Waulsortian limestones.

The Hodder Mudstone samples show variably high U and Mo enrichment (Figure 4.4)

than average shale values (Wedepohl 1971) and a low Enrichment Factor (EF<1) for V,

Cu and Ni (Table 6; Figure 4.4). On a broader scale, relatively coarser samples (BR and

SR) show higher enrichment and the more argillaceous (CR) samples (Figure 4.4).

In sediments deposited under reducing conditions, both U and V occur mainly in

authigenic phases than in organic phases (Algeo & Maynard 2004). Threshold values of

the measured ratios (U/Th) showing oxic (<0.75) to dysoxic and anoxic (>1.25)

conditions (Nathan et al. 1997; Madhavaraju et al. 2016) were adopted for this study.

Results show a mean U/Th ratio of 2.24 with few data points between 0.61 – 0.67 (Figure

4.5). Clay-rich samples show an average U/Th ratio of 1.26, while silt-rich and bioclast-

rich samples show averages of 2.93 and 3.13 respectively. This is indicative of a dominant

dysoxic and anoxic conditions (Figure 4.5).

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Figure 4.4: Facies variationa in trace element variation for the Hodder Mudstone samples

Another measure of redox potential using V/(V+Ni) ratios based on studies conducted by

Hatch and Leventhal (1992) show dysoxic, anoxic and euxinic settings having V/(V+Ni)

ratios of 0.46 – 0.60, 0.54 – 0.82 and 0.84 – 0.89 respectively. This study reports V/(V+Ni)

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ratios between 0.35 – 0.71 for coarser grained (carbonate-rich) samples and for silt-

/clay-rich sections, 0.38 – 0.81 (Figure 4.5).

Figure 4.5: Histograms for palaeo-redox proxies U/Th and V/(V+Ni). More than 50% of the Hodder Mudstone samples were deposited in an anoxic environment

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Borehole ID and number of analysed samples (n = 67)

Value ranges

Enrichment factor of trace elements Variable ratios

U V Mo Cr Ni Co Cu Th U/Th V(V+Ni)

MHD1 (n=7)

Min 2.71 0.67 0.42 1.09 0.58 0.93 0.30 0.79 0.82 0.49 Max 21.02 1.09 7.52 1.96 1.85 6.41 0.65 0.99 6.45 0.69 Mean 10.99 0.83 3.89 1.38 0.83 3.48 0.44 0.87 3.17 0.59

MHD2 (n=7)

Min 2.20 0.60 0.44 1.11 0.69 0.79 0.30 0.77 0.65 0.47 Max 12.85 0.86 2.25 1.37 1.31 5.29 0.80 1.51 2.13 0.69 Mean 4.91 0.71 1.11 1.17 0.91 1.57 0.44 0.93 1.22 0.60

MHD3 (n=8)

Min 2.85 0.65 0.20 1.09 0.57 0.79 0.22 0.61 0.87 0.53 Max 9.49 1.38 4.73 1.35 1.95 3.55 1.01 1.07 2.29 0.72 Mean 5.53 0.87 1.67 1.21 1.11 1.68 0.58 0.85 1.63 0.61

MHD4 (n=3)

Min 2.78 0.76 0.07 1.17 0.77 0.87 0.37 0.85 0.79 0.52 Max 132.45 1.03 20.65 4.89 1.82 36.74 0.57 6.26 5.29 0.66 Mean 46.77 0.88 9.64 2.47 1.27 12.95 0.47 2.67 2.52 0.58

MHD8 (n=4)

Min 2.27 0.70 0.13 1.05 0.67 0.83 0.12 0.79 0.68 0.60 Max 15.84 1.49 11.79 1.49 1.92 2.73 0.82 1.10 3.59 0.67 Mean 6.29 0.95 3.29 1.19 1.08 1.62 0.39 0.89 1.61 0.64

MHD9 (n=4)

Min 8.15 0.52 1.06 1.11 0.97 3.64 0.36 0.76 2.09 0.35 Max 241.08 0.69 20.23 7.45 2.32 75.44 0.47 1.21 5.82 0.56 Mean 73.27 0.62 8.11 2.87 1.65 23.71 0.41 0.98 4.36 0.46

MHD11 (n=8)

Min 2.37 0.49 0.19 0.99 0.66 0.66 0.29 0.60 0.75 0.50 Max 33.62 1.35 8.06 3.33 2.48 0.65 0.88 0.80 12.83 0.68 Mean 9.82 0.89 2.35 1.52 1.16 2.24 0.51 0.72 3.63 0.61

MHD12 (n=7)

Min 4.44 0.38 0.29 1.08 0.72 1.49 0.48 0.63 1.72 0.45 Max 51.89 1.01 12.43 2.27 2.06 8.13 1.08 4.09 5.21 0.64 Mean 22.71 0.70 5.05 1.67 1.18 5.47 0.69 1.83 3.18 0.53

MHD13 (n=11)

Min 2.12 0.67 0.05 1.03 0.49 0.50 0.18 0.65 0.61 0.43 Max 6.24 2.44 14.49 1.30 2.04 3.83 0.74 0.87 2.20 0.81 Mean 4.15 0.95 3.31 1.13 0.94 1.43 0.43 0.79 1.34 0.66

MHD18 (n=8)

Min 2.56 0.69 0.45 1.09 0.75 0.77 0.41 0.70 0.86 0.38 Max 10.82 1.84 6.75 1.90 2.46 6.70 1.16 1.54 2.03 0.74 Mean 5.08 0.93 1.75 1.32 1.35 2.73 0.63 0.90 1.33 0.57

Table 6: Summary data showing enrichment of redox sensitive trace elements and ratios in selected Hodder Mudstone sample. Samples are mostly enriched in U and Mo relative to average shale values

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4.4.4 Petrographic description

Thin section examination from optical microscopy and SEM show that the Hodder

Mudstone samples contain >50% of mud-sized (<63µm) materials (Figure 4.6). Also

present are dark opaque organic residue and variable micro skeletal components. Sub

centimetre-scale laminae are distinctive in mud-rich laminated intervals, while

unlaminated units are characterised by burrows. Mud-sized components are mostly silt-

to clay-sized crystalline quartz, muscovite, kaolinite, calcite and dolomite while larger

grains are dominated by calcite, quartz and muscovite sheets (Figure 4.6). Silt and clay-

rich samples contain >70% (visual estimates) of <63µm grains within a 4mm2 surface

area while bioclast-rich samples comprise sand to gravel-sized echinoderm and molluscs

fragments in the mud-sized matrix (Figure 4.6 (a)). Most skeletal debris are calcite-

cemented, exhibiting sparry calcite morphology. Quartz grains are mostly anhedral to

euhedral crystals making up to 26% (visual estimate) of total grains under thin section

examination. Ankerite and dolomite are locally common as scattered euhedral (10 to 50

µm-sized nucleated dolomite) crystals to subhedral replacement minerals in fractures.

Pyrite is also commonly associated with marcasite. Illite is rarely observed in samples but

preserved as fibrous crystal where present in coarser (sand-sized) grained samples

between sand- and silt-sized grains. Fibrous illite occurrence is also mostly associated

with microcrystalline quartz.

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Figure 4.6: Petrographic images in UV transmitted light (left) and SEM (right) of BR samples (a) & (b); SR samples (c) &( d) and CR samples (e) & (f). Sample matrix contain up to 50% mud-sized particles. Grains are dominated by calcite, kaolinite, quartz, muscovite and dolomite

4.4.5 Organic matter characterisation and maturity data

Organic matter components in analysed samples were mostly preserved as <20 um thick

wavy to sub-angular dark particles found as pore-filling matter in pores and fractures

(Figure 4.7). Visible petrographic evidence is consistent with TOC data as higher amounts

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of amorphous organic matter strips are visually higher in planar-laminated and

bioturbated silt-rich units. Coarse-grained bioclastic-rich lithologies contain the least

measured present day TOC at 0.27% (Table 7). The maximum reported TOC value of

3.15% was recorded from silt-rich bioturbated lithology.

Overall, the average TOC value of the Hodder Mudstone studied samples is 1.13% with

modal distributions of organic richness (>2%) occurring in organic silt-rich lithologies.

S2 peaks of analysed samples (0.05 – 0.74 mgHC/g rock) are higher than S1 peaks (0.05

– 3.21 mgHC/g rock), which translates to limited generated and/or expelled

hydrocarbon. Organic maturity ranges from the oil window (pyrolysis Tmax >440°C) to

wet gas zone (pyrolysis Tmax <465°C) (Table 7). Using the Tmax to vitrinite reflectance

conversion formula (Ro = 0.0180 * Tmax – 7.16; Jarvie et al. 2001), estimated vitrinite

reflectance values (%Ro) of the studied samples range from 0.83% to 1.12%. Tmax to

%Ro conversions have been applied extensively with appreciable confidence on various

shale samples with type II and III kerogen, provided S2 peaks are >0.5 mgHC/g rock and

Tmax values >420°C < 500°C (e.g. Wust et al. 2013; Ko et al. 2016; Clarke et al. 2018).

Hydrogen index versus Tmax plot (Figure 4.8) indicates that the Hodder Mudstone is

predominantly a mature, type II/III kerogen, gas prone succession.

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Figure 4.7: Organic matter residue (OM) mostly preserved as migrated bitumen

Sample ID S1 (mg/g)

S2 (mg/g)

S3 (mg/g)

Tmax (°C)

HI (mg HC/g TOC)

OI (mg CO2/g TOC)

TOC (%)

Ro (%) (calculated)

MHD3/118.8 0.74 2.39 0.07 452 172 5 1.39 0.976

MHD3/179.8 0.26 0.86 0.08 456 76 7 1.13 1.048

MHD3/238.2 0.25 0.52 0.08 444 90 14 0.58 0.832

MHD13/88.7 0.28 0.59 0.1 444 99 17 0.6 0.832

MHD13/90.4 0.34 0.63 0.05 448 69 5 0.92 0.904

MHD13/73.1 0.46 1.55 0.05 449 112 4 1.38 0.922

MHD13/72.4 0.7 3.21 0.1 452 153 5 2.1 0.976

MHD13/228.8

0.52 2.81 0.07 460 89 2 3.15 1.12

MHD11/100.2

0.49 2.56 0.1 447 137 5 1.87 0.886

MHD11/200.1

0.36 1.31 0.07 450 119 6 1.1 0.94

MHD18/159.3

0.05 0.05 0.14 453 19 52 0.27 0.994

MHD18/109.5

0.66 2.64 0.09 451 123 4 2.14 0.958

Table 7: Pyrolysis and TOC values of selected samples from the Hodder Mudstone.

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Figure 4.8: Hydrogen index versus Tmax plot showing a mature, type II/III Hodder Mudstone. Maturation boundary information taken from Tissot et al. (1974)

4.4.6 Detrital components

Detrital components described in this section include terrestrially-derived components

(e.g. sand- and silt-grade quartz, and muscovite) and transported intrabasinal biogenic

debris (e.g. mollusc, echinoderm and brachiopod shells, and tests of foraminifera and

calcisphere). Such materials have been transported to sites of deposition and were

distinguished by identifying morphological evidence of grain transport and weathering

which include edge-angularity, roundness and crystal size. Other evidence for sediment

transport were bedding plane features in the form of wavy laminations, scoured bases

and laminae-scale gradation (Chapter 3). Additional quantitative data from major

elemental analysis provided information on mineral provenance. Aluminium and

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zirconium are detrital major elemental proxies that remain insoluble and are relatively

immobile during diagenesis (Böning et al. 2004; Tribovillard et al. 2006). Hence, cross

plots of selected major rock-forming elemental fractions (SiO2, CaO, Na2O and K2O)

against Al2O3 content (Figure 4.9), aided in validating allochthonous sedimentary

materials of terrigenous and biogenic sources. Strong positive trends are observed in

Al2O3 versus SiO2, Na2O and K2O plots, with only CaO showing a negative correlation when

plotted against Al2O3. Positive correlation is indicative of terrestrial components while

biogenic constituents yield a negative correlation (Wright et al. 2010). These results show

that the sedimentary materials comprising the Hodder samples are a combination of

terrestrial and biogenic-sourced detritus. Calcite and dolomite observed in thin-section

and XRD make up the bulk of biogenic debris while muscovite, quartz and feldspar

(albite) are mostly terrestrial.

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Figure 4.9: Cross plots of major elements showing evidence of largely detrital (terrestrial) derived compounds (NaO, K2O, SiO2). CaO shows strong negative trend indicative of dominant marine origin. NaO and SiO2 may have intrabasinal influence hence weaker positive correlation.

4.4.7 Authigenic minerals

Authigenic minerals are considered here as post-depositional minerals formed from

direct precipitation of aqueous solution or as in situ mineral recrystallization (e.g.

neomorphism). These minerals are often precipitated in pore spaces between grains,

nucleating around allochthonous crystals or emplaced in fracture networks. From

petrographic examination, some amount of quartz, calcite and dolomite with kaolinite,

pyrite, marcasite, Mg-rich chlorite (clinochlore) and illite represent a proportion of

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authigenic mineral components within the Hodder Mudstone samples. Large rusty brown

to grey oblate and irregular 2 to 5 cm thick concretionary cements of carbonate are also

common features found in the studied Hodder Mudstone cores (Chapter 3). These

concretions are abundant in unlaminated clay-rich units.

4.4.7.1 Calcite

Authigenic calcite within the Hodder samples is observed in cemeted detrital shell

fragments and as interparticle cements. Distinctive features include micritized shell

walls, shell calcification, sparry calcite cementation in shell cavities and interparticle

cement fabrics (Figure 4.10). Calcite interparticle cements are also observed in

intercrystalline pores of pyrite framboid (Figure 4.11). In shell cavities, calcite

cementation has a replacive fabric, when they occur around earlier formed kaolinite

“booklets”. Sparry calcite fabric, shell wall micritization and replacive fabrics are strongly

indicative of authigenic calcite (Adams & MacKenzie 1999).

Semi-preserved shell fragments occasionally show microstructural alteration and minor

dissolution (Figures 4.10 (C) & (D)). Other bioclastic shell fragments comprising of sparry

calcite cement are largely pre-calcite (aragonitic) shells of bivalves and gastropods and

calcified tests of originally siliceous radiolarian and sponge tests (Figures 4.10 (E) & (F)).

Only a few shell fragments of primarily low-Mg calcite have well-preserved wall

structures (e.g. brachiopods, bryozoans and crinoids). Coarser units have higher calcite

cement concentrations. About 40% of calcified shell fragments and planktonic fossils

make up the grain assemblage of silt-rich beds with more than 60% of calcified fragments

in coarser grained beds. Occasional and localised silt-sized skeletal fragments are

observed in clay-rich units. A clear negative correlation coefficient of the CaO/Al2O3 cross

plot (Figure 4.9) is a strong indication of basinal resedimented and authigenic calcite

minerals in the Hodder Mudstones.

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Figure 4.10: Calcite cementation seen in optical microscope and SEM images. (A) XPL photomicrographs showing partial micritization of the outer shell (arrow) of an indeterminate organism and sparry calcite cementation of shell cavity. (B) Micritized shells of endothyracid (left bottom of the sample) and milliolid (centre top of the sample) Forams. (C) & (D) SEM and SEM Cl images showing calcified outer shell of Foram fragments; minor dissolution produces intragranualar pore spaces in shells. (E) and F) XPL photomicrographs showing Radiolarian spherules (Ra) and spines of Sponge spicules (SS) cemented by calcite.

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Figure 4.11: Calcite cementation occluding intercrystalline pores in pyrite framboid. To the right of framboid, calcite has been partially displaced by authigenic quartz.

4.4.7.2 Dolomite

Dolomite crystals were observed to be mostly preserved in the Hodder Mudstone

samples as microcrystalline (5 – 50 µm), sharp-edged, planar dolomites.A well-defined

nuleus may be observed in SEM basck scatter micrographs of most dolomitsed samples.

These nuclei appear dark-grey in colour having planar or curved crystal faces and

overgrown by relatively lighter-coloured syntaxial rhombic dolomite rims (Figure 4.12).

This phenomenon is a prominent feature in the clay-rich lithologies. The variance in

backscattering coefficients between inner, darker Mg-rich core and the lighter Fe-rich

rims is definitive of varying crytallizing solutions resulting in heterogenous nucleation

(e.g. Martire et al. 2014; Radwan et al. 2017). In general, observed nucleated dolomite

crystals were largely preserved as unaltered rhombs and as fragmented crystals. Sub-

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rounded to sub-angular dolomite nuclei have been recognised by previous researchers

as detrital dolomite grains that act as substrates for dolomite nucleation (e.g. Radwan et

al. 2017; Schieber 2016a). Other authors presents evidences for early diagenetic dolomite

nucleation due to calcite recrystallization (e.g. Duncan & Gregg 1987; Wright et al. 2004;

Konari et al. 2018). An additional form of dolomite occurrence in the samples is observed

as partially dolomitised calcite in previously kaolinite-cemented shelter pores (Figure

4.12(D)). These are visible on SEM back scatter images as non-planar anhedral crystals

with irregular crystalline boundaries.

Figure 4.12: (A) and (B) SEM and SEM CL photo example of syntaxial planar dolomite nucleation, with marked compositional, well developed outward-progressing zones of mostly ferroan rhombohedral rims. (C) Showing scattered dolomite micron-sized rhombs (arrows) in the clay-rich lamina. (D)Non planar dolomites, indicative of Later phase partial dolomitization of calcite-cemented kaolinite in shelter pore (paragenetic sequence from cross cutting relationship shows kaolinite-calcite-dolomite-quartz).

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4.4.7.3 Quartz

Detrital quartz crystals are easily distinguished from authigenic quartz by their bright

luminescence under SEM-CL imaging (Figures 4.13 (B) & (D)) (e.g. Thyberg et al. 2010;

Milliken 2013). This is due to the variable CL emission spectra of detrital (from weathered

prexisting rock) and authigenic quartz (Gotze et al. 2001; Thyberg et al. 2010). Figure

4.13 shows evidence for the presence of allochthonous and authigenic quartz within the

Hodder Mudstone. Quartz grain-sizes range from <5µm to 100 µm. Authigenic quartz is

pervasive in silt and clay-rich samples of the studied succession. These quartz cements

occur in the form of isolated euhedral crystals, anhedral quartz overgrowths around

detrital grains, irregular sheet-like microcrystalline quartz and in silicate/calcite

intergrowths (Figure 4.13 (F)). Sheet-like microcrystalline morphology and platelets of

quartz cements identified in the studied samples (Figure 4.13 (E)) are identical to those

from Thyberg et al. (2010) and Thyberg & Jahren (2011).

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Figure 4.13: (A) to (D) Quartz cementation showing the dominance of authigenic quartz in the Hodder Mudstone in form of quartz overgrowths and euhedral crystals. Quantitative data was derived from statistical pixel filtering. (E) Microcrystalline quartz (Q) in association with illite crystals. (F) Silica/calcite intergrowths suggesting a potential displacement of calcite by silica

Identified quartz overgrowths are also typical of those identified in Dowey and Taylor

(2017) (Figures 4.13 (A) – (D)). When compared to detrital quartz grains using statistical

image threshholding of greyscale values, authigenic quartz cement makes up the larger

percentage (up to 98.4%) of total quartz mineral in the Hodder Mudstone. A statistical

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relationship from major elemental cross plots (Figure 4.9) presents slight indications of

mixed silica allochthonous provenance (biogenic/terrestrial) of silica within the Hodder

Formation. Although a clear positive linear correlation exists between SiO2/Al2O3 plot (R2

= 0.9), a low correlation coefficient (R2 = 0.35) of 5 data points from more distal clay-rich

samples contributed to a slightly lower R2 in the SiO2/Zr plot (R2 = 0.84). This difference

may be due to limited delivery of Zr further in the basin. A lower positive correlation

coefficient (R2 = 0.63) is observed when quantitative quartz (silica) XRD values were

plotted against Zr (Figure 4.7). It is assumed that these trends in Si/Al and Si/Zr plots of

the Hodder Mudstone samples are likely a reflection of their mixed provenance.

4.4.7.4 Kaolinite

Kaolinite in the studied samples occurs in two forms: (1) anhedral, less-ordered kaolinite

crystals (Figures 4.14 (A) & (B)) and (2) a more abundant euhedral, vermicular and

ordered kaolinite crystals (Figures 4.14 (C) – (F)). The first forms are found in pore spaces

between rock matrix and while the well-develop non-compacted vermicular forms are

found as shelter pores of forams algae and gastropods or compacted between muscovite

sheets (Figure 4.14). In bioclast-rich samples, kaolinite grains are preserved as 0.5 to

15µm thick “booklets” occluding primary micro-shelter porosity in dissolved cavities of

calcareous algae and foraminifers (Figures 4.14 (E) & (F)). Patches and strips of kaolinite

also occur around quartz and calcite grains mostly in silt- and clay-rich samples. These

strips are occasionally found with pyrite crystals and have no regularity but infrequently

exhibit imbricated vermiform morphology between calcite and silica cements. Kaolinite-

muscovite intergrowths are equally present in silt-rich sections (Figures 4.14 (C) & (D))

showing similar authigenic textures as those defined by Arostegui et al. (2001) and

Bauluz et al. (2008). Vermicular morphology of high crystalline kaolinite crystals and

kaolinite-mica intergrowths are classic morphologies of authigenic kaolinite while

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detrital kaolinite is distinguished by their anhedral crystal morphology with a low degree

of ordering (Bauluz et al. 2008).

Figure 4.14: (A) & (B) Interparticle kaolinite minerals between grains (arrow.) (C) & (D) Kaolinite intergrowth between Mica sheets. (E) & (F) Kaolinite precipitation in shelter pores with preserved intercrystalline pore spaces. Notice calcite cementation of kaolinite around the outer perimeter in (E).

4.4.7.5 Iron sulphides

Identified Fe-sulphide crystals from EDS spectra and backscatter electron microscope

images exhibit characteristic features of microcrystalline pyrite crystals, pyrite

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framboids and marcasite (Figures 4.15 (A) – (F)). The sizes of pyrite framboids vary

widely, ranging from nanoframboids (<0.1µm) through microframboids (01.-1µm) to

very fine (1 to <18 µm) and large pyrite framboids (18 – 50 µm) (e.g. Sawlowicz 1993).

Various forms of polyframboids (multiple framboidal aggregates) are also prominent

(Figure 4.15 (B)). Occasionally, pyrite crystals occur in the samples as disaggregated

microcrystals (Figure 4.15 (D)) and single euhedral crystals tens to a few hundreds of

micrometre in size coexisting with or in isolation from framboids. Additionally, most

crystals form in cavities of microfossils (soft body pyritization) or around walls of

radiolarian tests (Figures 4.15 (C) – (D)).

From textural and morphological evidence, marcasite, a mineral diamorph of pyrite is

present in studied samples coexisting with pyrite (Figures 4.15 (E) & (F)). Observed

marcasite crystals exhibit characteristic tabular-bladed morphology as those defined by

Bush et al. (2004) and Schieber (2011). Petrographic examination of Fe-sulphide-rich 7

to 10 cm thick laminae reveals up to 80% (visual estimate) concentration of marcasite

and pyrite clusters with micro disseminated crystal aggregates in an organic-rich mud

matrix.

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Figure 4.15: Several occurrences and crystal morphologies of authigenic pyrite (A – D) and Marcasite (E & F) in the Hodder Mudstone samples. (A) Very fine framboids. (B) Evidence of early diagenetic poly-framboidal pyrite of varying diameters displaced by a micro fault. (C) Micro-framboidal pyrite mineralization of skeletal test (arrow-indicated). (D) Complete body (mouldic) pyritization of a fossil (foram?) and partial recrystallization. (E) Tabular bladed marcasite. (F) Marcasite and pyrite coexistence.

4.4.8 Fractures

Natural fractures varying in orientation, propagation and width are common across silt-

and clay-rich lithologies. Fractures are mineralized with calcite and ankerite, and are

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mostly sub-vertical, parallel or oblique to bedding (Figure 4.16). The morphology of most

microfractures seems to be controlled by the composition of the host rock matrix (Figures

4.16 (A), (B) & (C)). Dendritic patterns are dominant in silt-rich lithologies while single

linear fractures are prominent in more clay-rich lithologies. Most occurrences exhibit

complex concentration of multiple fracture generations (Figures 4.16 (D)). Laminae

displacement from mineralized micro-faults were additionally discernable in laminated

clay-rich lithologies (Figure 4.16 (E)). Overall fracture dimension varies from single and

dendritic <1 to 3 mm to large centimetre-scale vein-fills. Most fractures are open-faced

with clear, coarse to very coarse vuggy euhedral crystals of calcite. Determining the

length of propagation however, was impossible due to constraints of core diameter and

angle of borehole penetration. From microscopic observation, distinct phases of fracture

filling of “cement bridges” are visible comprising mostly of calcite and dolomite cements,

while some contain host rock inclusions (Figure 4.17). Such cements form in fractures

due to simultaneous sealing of fractures as they open. They are known as synkinematic

cements (Hilgers & Urai 2002) or mineralised fractures from crack-seal mechanism (Gale

et al. 2017). Bitumen-filled fractures are distinct under core examination with sub-

vertical and horizontal clay mylonite present in silt- and clay-rich lithologies. Saddle

dolomites are also common in samples showing evidence of hydrothermal vein-filling

activity observed in silt- and bioclastic-rich lithologies (Figure 4.16 (D), (E)).

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Figure 4.16: Fracture orientation, morphology and cementation. (A) & (B) shows the nature of calcite micro-fracture propagation through clay-rich and silt-rich samples. Fibrous meandering morphologies are typical in silt-rich units while fractures in more clay-rich units occur as relative linear bifurcating veins. (C) An example of horizontal laminae-parallel dolomitized fractures in the clay-rich core sample. (D) Showing multiple fracture and cement-filling phases. (E) fault-related laminae-displacing fractures. (F) SEM micrograph of a multi-fractured siderite vein (light grey) crosscut by calcite (dark grey), iron sulphide veins (bright white thin fractures), organic matter (black pigments) and host rock inclusions.

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Figure 4.17: (A) – (B) Cement bridges from the simultaneous sealing of fractures as they open (synkinematic cements- Hilgers and Urai (2002) or crack-seal mechanism– Gale et al. (2017). Some bridges may contain brecciated host rock inclusions as observed in (C) & (D).

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Discussion

4.5.1 Paleo-redox conditions

Since authigenic processes are chemical reactions, the redox conditions within

sedimentary basins impact geochemical reactions especially in the precipitation of early

authigenic minerals. Trace-element enrichment studies allow for the reconstruction of

certain geochemical conditions that prevailed during deposition and early diagenesis

(Algeo & Maynard 2004; Tribovillard et al. 2006). The changes observed in trace element

enrichment are a reflection of changes in chemical conditions. Within the studied

samples, there is high trace element enoroch in coarser (silt-rich and bioclast-rich)

sampes. This variability in trace element concentration may be attributed to higher

mobility of aqueoous pore waters within the coarser sediments than sediments

dominated by clay-sized particles.

Under reducing conditions, redox-sensitive trace elements like U, V and Mo remain in

solution in reducing pore waters (e.g. Tribovillard et al. 2006). Their authigenic

enrichment is high in sediments preserved under poorly oxygenated conditions

(Tribovillard et al. 2006). The Hodder samples are observed to be more enriched with U

than V and Mo. While U and V accumulate largely under anoxic conditions, Mo

sequestration requires free H2S from euxinic setting (Calvert & Pedersen 1993; Algeo &

Maynard 2004; Tribovillard et al. 2004; Helz et al. 2011). In suboxic conditions, there is

more U uptake than Mo (Algeo and Tribovillard 2009). The EF data shown in Table 6

suggest generally suboxic conditions. Few Hodder Mudstone samples have maximum EF

values for Mo up top 20 (Figure 4.4). This may infer intermittent periods of euxinia.

The statistical data of V/(V+Ni) ratios (Figure 4.5) is indicative of sediment deposition in

a mostly anoxic environment. The observed variation in the U/Th ratios (Figure 4.5)

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indicates a predominantly anoxic condition of deposition with limited oxygenated

periods. The enrichment values of Ni and Cu in the studied samples were significantly low

with average EF values between 0.99 and 7.45 for Ni and 0.12 and 1.16 for Cu (Table 6).

These values suggest either limited organic matter preservation or low biological

productivity during deposition of the Hodder Mudstone. Nickel and Copper are trace

elements delivered in association with organic matter as organometallic complexes and

are only released through organic matter decay (Piper & Perkins 2004; Tribovillard et al.

2006). Ni and Cu are not enriched in sediments unless trapped by settling organic

particle, even when reducing conditions are met. These EF values of Ni and Cu are low in

comparison to most black shales (e.g. Piper & Dean 2002; Algeo & Maynard 2004) and

suggests that the Hodder Mudstone apparently received a limited influx of organic

matter, although reducing conditions were met. The limited influx of organic matter may

likely be responsible for low TOC values recorded in the analysed samples.

4.5.2 Paragenetic sequence

The diagenetic mineral development within the Hodder Mudstone is largely dominated

by early carbonate and sulphide minerals diagenesis with kaolinite precipitation. Late

phase diagenesis was characterised by further carbonate crystallization, quartz

cementation, clay mineral transformation and organic matter maturation. The Bowland

Basin being earlier explored for Pb and Zn ore implies a possible impact of hydrothermal

processes with burial diagenetic mineral alteration, especially, dolomitization. A

paragenetic sequence summary chart of the Hodder Mudstone is presented in Figure

4.18.

Identified early diagenetic minerals in the Hodder Mudstone samples include framboidal

pyrite and marcasite, kaolinite, calcite and dolomite. Further evidence exists to suggest

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early silica authigenesis in the form of opal A-CT transformation. Both quartz

authigenesis from opal-CT-quartz and kaolinite-illite transformation is attributed to late

diagenetic phases.

Figure 4.18: Paragenetic evolution chart of the Carboniferous Hodder Formation

The following processes in non-chronological order of events were considered active and

controlled diagenesis in the Hodder Mudstone.

Early dissolution of aragonite and calcite cementation.

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Dissolution of opaline (siliceous) tests and subsequent calcification of tests.

Availability of Al-, Si-, Fe- and K-rich pore waters influenced by the detrital supply

of clay minerals, iron oxides and oxyhydroxides.

Ferroan carbonate and iron sulphide precipitation.

Clay mineral reaction (illitization of kaolinite) and release of Al and Si

Production of organic acids and localised mobility of Al- and Si-rich fluids in pores

Pore fluid over-pressuring, fracturing and precipitation of cements and emplacement of

hydrocarbon in fractures

4.5.2.1 Calcification and dolomitization

Calcite and ferroan dolomite nodules within the mud-rich beds may represent the earliest

formed diagenetic event. This was presumably prior to, or syngenetic with, micrometric

dolomite nucleation (Figure 4.12) and dissolution/calcification of aragonitic shells. Rusty

brown nodules of ferroan-dolomite composition probably formed from the authigenesis

and replacement of metastable primary carbonates, likely influenced by Mg-Ca-rich pore

water and products from organic matter reactions (Curtis & Coleman 1986). The

presence of skeletal debris of shallow marine platforms and biogenic allochems of

phytoplankton are possible primary sources of calcite mineral. The dissolution of

aragonitic shells and forams most likely provided Mg2+-rich solutes for dolomite

crystallization. The enrichment values of Ni and Cu suggested a possible degradation of

organic matter, hence, bicarbonate ions may have been released from organic matter

degradation resulting in organogenic dolomitization. Calcite cementation of kaolinite-

filled shelter pores and intercrystalline pores of pyrite framboids (Figure 4.12 (D); Figure

4.14 (C); Figure 4.11) suggests chemical precipitation subsequent to kaolinite and pyrite

formation. With an increased availability of Fe2+ ions in pore water under reducing

condition, ferroan carbonate nodules were likely formed in clay-rich beds. Fe may have

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been sourced from hydroxide components of clay minerals. Al vs Zr cross plots indicate

terrestrial sources of sediments.

Zoned dolomite crystals exhibit dark grey cores and mostly concentric rhombohedral

syntaxial overgrowths (Figure 4.12). The irregularity in shape, their small grain size and

homogeneity in colour of cores within zoned dolomite crystals have been identified to be

typical of detrital dolomite cores (Martire et al. 2014). Nucleation of rhombic dolomite

around detrital dolomite substrates is a common form of dolomitization in sedimentary

rocks (e.g. Taylor & Gawthorpe 2003; Martire et al. 2014). However, the curved surfaces

observed in the microcrystalline nucleus of dolomite rhomb within the Hodder samples

are not ubiquitous and may only represent the dominance of surface free energy over the

free energy from the internal structure of anisotropic sub-micron-sized crystals (Sibley

and Gregg 1987). It is thus postulated in this study that both the nucleus and rhombic

planar crystal outgrowth of the nucleated dolomite crystals are entirely authigenic. The

bending of surrounding clay mineral sheets around dolomite rhombs from differential

compaction is suggestive of pre-compaction dolomitization event (Figure 4.12). Multiple

zoning patterns observed in the dolomite rhombs are most likely a reflection of changes

in Fe2+ and Mg2+ concentration in pore fluid early in the diagenetic history. Further

dolomitization of calcite especially in coarser-grained lithologies occurred as

petrographic patches of non-planar ferroan to non-ferroan rhombohedra texture

replacing calcite cement (Figure 4.12 (D)). Dolomitization may form from early

diagenetic or hydrothermal alteration. The studied cores were retrieved during a Pb-Zn

mineral exploration; Pb-Zn mineralization is widely reported to be associated with

dolomitization (Wilkinson et al. 2005; Wilkinson and Eyre 2005; Konari et al. 2018).

Crystalline boundary shapes are distinguishing features of early and later-phase

dolomitization. The planar dolomites observed in Figure 4.12(A-C) are typical of early

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diagenetic dolomites while late diagenetic dolomites are mostly anhedral with non-

planar crystal boundary shape as observed in Figure 4.12 (D). Using the Sibley and Gregg

(1987) dolomite crystallization model, a low formation temperature (50 – 100° C) is

inferred. Early diagenetic iron-rich dolomite has been attributed to organogenic (organic

matter-mediated) dolomitization which is influenced by microbial decomposition by

sulphate reducing bacterial or microbial methanogenesis (Curtis & Coleman 1986;

Slaughter & Hill 1991). Planar dolomites can be hydrothermal in nature, forming at pore

water temperatures of >70°C (Hitzman et al. 1998). However, studies by Wright et al.

(2008) show that planar dolomite diagenesis is more compatible with a low-temperature

environment. It is not conclusive from this study as to the dolomitization temperature

given that isotopic analysis of the samples were beyond the remit of this study. However,

from basic cross-cutting relationship of crystal occurrences with neighbouring minerals

and mechanical deformation, the planar, euhedral dolomite crystals were formed prior

compaction and consequently under low temperature conditions. Determining the

source of fluid transport in the Bowland Basin also proved problematic, but, pore fluid

was significantly saturated with respect to Mg, Ca and Fe. The occurrence of early

diagenetic dolomite and pyrite may be attributed to microbial actions. Results from trace

elemental organic productivity data (Ni and Cu) shows limited organic matter

preservation which may be a reflection of increased bacterial action. Another alternative

to dolomite crystal precipitation is the mixing of meteoric water and sea water.

Determining this is possible using the δ 18O isotopic values which was beyond the scope

of the study.

4.5.2.2 Iron sulphide crystallization

Pyrite and marcasite in mudstones are common authigenic (syngenetic or diagenetic)

minerals formed in oxygen-depleted bottom water or pore fluids rich in ferrous iron and

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hydrogen sulphide from microbial sulphate reduction (Raiswell 1982; Berner 1984;

Wilkin et al. 1997; Wilkin 2003). Studies have shown that precipitation of pyrite is not

restricted to any particular environment as they may form in near oxic to anoxic and

euxinic environments (Rickard 1997; Wilkin et al. 1996; Wilkin et al. 1997; Bond et al.

2004). Furthermore, pyrite mineral formation could be syngenetic (formed within the

water column) or early diagenetic (few meters below the SWI at the redox boundary)

(Wilkin et al. 1997). Due to their sensitivity to sedimentation rate, bottom-water

oxygenation and nature of reactive sulphides and iron, their environment of formation

can be inferred by measuring spherule diameter of the framboids (Wilkin et al. 1996;

Bond et al. 2004; Taylor & Macquaker 2000).

Micro-framboids dominate the studied Hodder Mudstone samples. They are occasionally

found in spherule moulds of organic materials and pseudomorphs of skeletal tests

(Figure 4.15). Framboids of <5 µm to nanometre sizes are found in the samples and are

recognised as products of euxinia (Wilkin et al. 1997; Wignal and Newton 1998). A few

analysed clay-rich samples in the Hodder were enriched with <5 µm sized framboids

which are attributed to the inability of minute pyrite spherules achieving larger

diameters in euxinic water column before sinking below the Fe-reduction zone (e.g.

Wilkin et al. 1997). Larger and more variably-sized framboids represent pyrite formation

along redox boundaries of anoxic-dysoxic sediment layer (e.g. Bond et al. 2004).

As shown in Figures 4.15 (E) & (F), marcasite appears as apparent remnant shapes of

pyrite framboids or overgrowths on pyrite crystals. These morphologies are similar to

those observed by Bush et al. (2004), Schieber & Ricipuli (2005) and Schieber (2011).

Marcasite is formed from intermittent oxidation and dissolution of reworked pyrite

grains (Schieber & Riciputi 2005; Schieber 2011). Schoonen & Barnes (1991) earlier

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discovered that pyrite and marcasite coexist in solution with pH values between 4 and 6

(pH<4 marcasite formation dominates and at pH<6, only pyrite is formed). A reduction

in pH was caused by the raised dissolved iron from pyrite dissolution or a general

abundance of dissolved iron in pore water. The presence of marcasite and pyrite in the

Hodder samples, hence, indicates periods of intermittent but low pH in pore waters.

4.5.2.3 Kaolinitization

The observed site of kaolinite precipitation in shelter pores and between pore spaces

indicates authigenic kaolinite in the Hodder Mudstone to have precipitated early in the

burial history by direct precipitation from Al- and Si-rich pore fluids (e.g. Burton et al.

1987; Taylor & Macquaker 2014). Studies have shown that under shallow depth and low

temperature (<80°C) in marine environments, pore water is commonly in equilibrium

with respect to kaolinite and later calcite (Bjørlykke 2011; Bjørlykke 2015a).

Aluminosilicate solutions are commonly a by-product of feldspar

dissolution/replacement reactions (Bjørlykke 1998; Worden & Morad 2003; Taylor &

Macquaker 2014). Aluminisilicate solutions might also result from the transformation of

Al- and Fe-rich siliceous tests (Michalopoulos et al. 2000; Michalopoulos & Aller 2004),

alteration of unstable volcanic debris (Pollastro 1981) or silicification of hydrated oxides

from tropical drainage (Curtis & Spears 1971). Each of these processes involves the

mobility of aqueous fluids rich in aluminium and silica ions with the capacity of removing

Na+, K+ and /or Ca+ ions from the solution (Bjørlykke 1998).The possibility of kaolinite

precipitation from the alteration of volcanic debris may be ruled out as there was no

substantial evidence suggestive of volcanism within the succession.

In the Hodder Mudstone, the appearance of altered detrital albite crystals in few samples

shows a plausible indication of feldspar alteration as a precursor of authigenic kaolinite.

Additionally, the dissolution of biosiliceous tests as observed in calcified radiolarian tests

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(Figure 4.10) presents a possible cause for aluminosilicate production (e.g.

Michalopoulos & Aller 2004). The transformation of feldspars in conjunction with opaline

silica dissolution at the earliest phase of diagenesis may also have supplied aluminium

and silica ions needed for the precipitation of kaolinite. More strongly, the abundance of

iron sulphides and ferroan carbonate cements in the studied samples suggests high

availability of Fe (II) that reacted with released sulphides and carbonates. Fe (II) are

products of reduced Fe (III) from detrital clay minerals by the action of Fe (III) reducing

bacteria (Adams et al. 2006), and Al required for kaolinite precipitation are also known

to be sourced from poorly crystalline aluminium oxides and clay minerals (Taylor and

Macquaker 2014). Based on evidence presented in this study, it is assumed that

terrestrially-derived clay minerals and aluminium oxides were responsible for kaolinite

precipitation in the studied samples. It is also expected that an efficient mobilization of

Al in pore waters to cementation sites was active. Owing to the presented evidence of

microbial processes, it could conceivably be hypothesised that organic acid produced

during microbial respiration provided Al-mobilization pore waters to sites of kaolinite

precipitation.

4.5.2.4 Silica authigenesis

Authigenic quartz is abundant in the samples, can be more than 90% on average of total

quartz in thin section and occurs in three forms, namely: (1) quartz

overgrowths/outgrowths, (2) pore-filling intergranular quartz and (3) microcrystalline

quartz. The abundance of authigenic quartz in the Hodder Mudstone poses a significant

question regarding the potential source of aqueous silica for the high rate of cementation.

In this section, three sources of dissolved silica for authigenic precipitation are

considered.

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A biogenic origin is first considered. The presence of calcified sponge spicules and

radiolarian tests (Figures 4.10 (E) & (F)) and assuming a mixed detrital silica provenance

from major elemental data (Figure 4.8), leads to opal A-CT-to-quartz transformation as a

possible authigenic silica precursor. It is perceived that the dissolution of

thermodynamically unstable opaline silica from biosiliceous debris provided a silica-

saturated solution for precipitation of micro- and meso-crystalline quartz grains coatings,

pore-fillings and overgrowths (e.g. Behl 1998; Huggett et al. 2005; Thyberg et al. 2010;

Behl 2011b). It is proposed in this study that biogenic amorphous opaline silica (opal A)

dissolved under elevated temperature (50 – 70°C) and was precipitated as crystobalite

(opal CT) and progressively to quartz at temperatures between 60 and 80°C (e.g.

Bjørlykke & Egeberg 1993; Spinelli et al. 2007; Behl 2011b). This dissolution and

replacement of opal A to opal CT is considered to be early diagenetic, occurring under 1.5

– 2 km overburden assuming average geothermal gradient of 30 - 40°C/km (Bjørlykke

2015a). Whereas, the more thermodynamically stable quartz precipitated from

crystobalite under high temperature at a later stage (temperature ~80°C) (Behl 2011b).

Their textural expression can be observed in core and field exposures as hard dense

aphanitic texture with a smooth conchoidal fracture and a vitreous lustre (Behl 2011b).

Such features were visible in the Hodder Mudstone core samples (chapter 3).

A second conceivable source for silica cement in the Hodder Mudstone is from clay

mineral transformation reaction. Although not detected from whole rock XRD analysis,

fibrous illite is petrographically evident within a few samples occurring with

microcrystalline quartz (Figure 4.13 (E)). Sheet-like quartz precipitation has been

attributed to silica released by clay dissolution-precipitation reactions e.g. kaolinite-illite,

at temperatures between 120-140°C (Bjørlykke 1998; Thyberg & Jahren 2011). Illite is

significantly associated with microcrystalline quartz in the studied samples and is

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identified as prominent clay mineral within some studied Hodder Mudstone samples by

Clarke et al. (2018). Hence, a second possible silica source for quartz cementation is a

dissolution-precipitation reaction of kaolinite-to-illite transformation (e.g. Bjørlykke &

Aagaard 1992; Bjørlykke 1998; Nadeau et al. 2002).

A third and final considered source of silica cement examined in this study is from

pressure solution of quartz grains at wielded quartz grain edges. Petrographic evidence

of silt-sized quartz grain contacts seemed problematic, however, the abundant stylolites

in silt-rich core samples provide evidence of pressure-related mineral dissolution.

Studies have shown that pressure solution of quartz is associated with stylolite formation

(Bjørlykke & Egeberg 1993; Walderhaug & Bjorkum 2003). Hence, this possibility cannot

be ruled out.

Any of these authigenic processes may have occurred at varying periods of burial. No

attempt, however, was made to determine the relative contributions of the different silica

sources due to technical adequacy beyond the scope of this study. From the available

evidence, the most likely dominant source of dissolved silica for authigenic quartz cement

in the Hodder Mudstone is here considered to be from the diagenesis of amorphous

opaline silica (opal A – opal CT – quartz transformation). This assumption is adopted due

to strong evidence of calcified test of siliceous radiolarian and sponge microfossils

(Figures 4.13 (C) & (D)). Also, assuming similar relative silica composition from present-

day warm marine environments, organic silica supply remains the dominant source of

dissolved silica in seawater (Bjørlykke 2015a). Another plausible hypothesis for a

substantial contributor of silica cement within the Hodder is from the illitization of

kaolinite. Although clay mineral transformation occur at higher crystallization

temperature than opal-quartz transformation, the absence of burial/thermal history

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curve presents a challenge into adopting this possibility. If proven, this may have equally

contributed largely to quartz cementation in the Hodder Mudstones, although illite

cement was mostly found in sand-rich samples.

From petrographic textural evidence of silica cement distribution it is affirmed that

precipitation of authigenic quartz in the samples happened locally within sites of silica

dissolution (e.g. Bjørlykke & Egeberg 1993). It is thus concluded that the abundance of

authigenic silica in the Hodder Mudstones resulted from the local precipitation of

aqueous silica fluid originating largely from the dissolution of siliceous tests and possibly

illitization of kaolinite.

4.5.2.5 Fracture evolution

Fracture diagenesis in the Hodder Mudstone is attributed to late paragenetic events prior

to the expulsion of hydrocarbon due to lithostatic stress and tectonics. Basic cross-cutting

relationship of multiple fractures indicate multiple phases of stress and/or tectonics

(Figures 4.16 (D) & (F)). Millimetre-scale fractures observed in the studied samples

exhibit typical characteristics of hydraulic fractures formed due to pore-fluid

overpressure (e.g. Cosgrove 2001; Goulty et al. 2012). Morphologies of direct fault-

associated fractures are also evident (Figure 4.16 (E)). Hydraulic fracturing ensues under

extensional tectonic stress conditions when pore pressure approaches the minimum

principal stress (Goulty et al. 2012). Pore-fluid overpressure may have resulted within

the Hodder Mudstones from compaction disequilibrium (rapid burial) or thermal

expansion during catagenesis (e.g. Swarbrick et al. 2002; Goulty et al. 2012) or potentially

from fluid release during illitization (e.g. Lahann 2002; Nadeau et al. 2002).

Most fractured laminae are vertically displaced (microfaults) (Figure 4.16 (E)). The shear

patterns of resultant mineralised veins in these fractures are associative of brittle failure

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from complex shear and tensile strain (Cosgrove 2001). This may be linked to lithostatic

pressure and syn- to post-depositional extensional basin tectonics. “Cement bridges” are

also significant features in most fractures (Figures 4.17 (A) – (D)) interpreted in this

study to have been emplaced simultaneously, sealing the fractures. This phenomenon is

described as synkinematic cementation by Hilgers and Urai (2002) and as the crack-seal

mechanism by Gale et al. (2017). The precipitation of ankerite cements in fractures

suggests that ankerite precipitation in fractures of clay-rich units was not inhibited by

the “unfavourable” organic– and clay-rich wall-rock material substrates as observed by

Lander and Laubach, (2014).

Implications

The success of hydraulic fracture simulation of mudstones for shale gas exploitation is

dependent upon the rock’s mechanical behaviour. Among other properties such as

porosity and diagenesis (Milliken et al. 2012), the mechanical property (brittleness) of

mudstones is significantly controlled by mineral composition (Bowker 2007; Jarvie et al.

2007; Han et al. 2015; Rybacki et al. 2016). Quartz and calcite are more brittle than clay

minerals, hence, the abundance of these minerals is desirable in shale resource

prospecting. All lithologies within the Hodder mudstones contain on average 50% of

calcite (Clay-rich units: 35%, silt-rich units: 45%; Bioclastic sand-rich units: 68%) and

24% quartz (Clay-rich units: 27%, silt-rich units: 26%, Bioclastic sand-rich units: 19%)

suggesting a bulk mineralogical composition of favourable brittleness.

The abundance of quartz in organic-rich mudstones have strong implications for fracture

simulation and hydrocarbon retaining capacity in shale reservoirs (Han et al. 2015). More

effectively, the occurrence of authigenic silica as grain-binding cements is known to

enhance brittle behaviour during both natural and induced mechanical deformation

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(Milliken 2013). Comparatively, quartz content in the prolific Mississippian Barnet shale

and the Cretaceous Eagle Ford Formation is dominated by authigenic quartz (Loucks &

Ruppel 2007; Milliken et al. 2007; Milliken et al. 2016).

The occurrence of authigenic quartz in recent studies of quartz cementation within

mudstones presents a caution to mudstone sedimentary geologist on the danger in

misinterpreting quartz occurrences as detrital in the absence of SEM-CL examination. The

results from SEM-CL examination found that the total quartz content of the Hodder

samples is anomalously dominated by authigenic quartz (up to 90%) as euhedral and

anhedral quartz grains, grain-binding cements and microcrystalline quartz (Figure 4.12).

One of the more significant findings from this study is that the Hodder Mudstone present

a highly brittle formation suitable for hydraulic fracture simulation. However, important

questions are raised over the abundance of calcareous faunas with originally unstable

aragonitic composition. As observed from the results, the dissolution of aragonite leads

to nonporous sparry calcite precipitation in shelter pores and interparticle spaces, thus,

negatively affecting pore preservation. Conversely, however, early kaolinite precipitation

in shelter pores may enhance pore preservation between individual sheets, and the

bending of phyllosilicate sheets around rigid carbonate and quartz grains may preserve

wedge-shaped pores (e.g. Schieber 2013). But under a different circumstance where

kaolinite is precipitated between muscovite cleavage sheets, pore preservation is

unattainable due to its susceptibility to subsequent mechanical compaction.

Furthermore, cases of calcite cementation within kaolinite “booklets” in bioclastic

dominated beds amounts of further loss in porosity especially in coarser grained units.

Taken together, these findings point to the role of primary sedimentary components in

controlling carbonate and silica diagenesis within a mixed clastic mudstone. The ideas,

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results and discussions presented in this study are not only profitable to the Bowland

Basin. While the understanding of diagenetic alteration in a mixed carbonate and

siliciclastic unconventional reservoir is significant in evaluating the Hodder Mudstone as

an effective unconventional reservoir, the implications of silica authigenesis is far

reaching in most mudstones.

Conclusion

The results shown from elemental, mineralogical and organic matter distribution within

the Hodder Mudstones suggests a mix of terrigenous and biogenic derived primary

sedimentary constituents. Textural differences within the lithologies reflect the observed

variations in the primary and subsequent diagenetic components. This has been clearly

observed in the increasing carbonate content with grain size increase and preferential

authigenic carbonate mineral cementation. Another significant finding from the analysis

of palaeoredox proxies suggests fluctuating redox conditions during early burial with

generally low pore-water oxygenation. Such fluctuations in redox conditions favoured

the formation of pyrite and marcasite, kaolinite and carbonate dissolution and

precipitation. Additional, it was very evident from the palaeo-productivity analysis that

organic matter influx was limited, hence, generally low TOC values.

In general, the paragenetic sequence of minerals within the Hodder Mudstone is

characterised by overlaps in biogeochemical and geochemical processes. Presented data

suggest a complex interplay of organic matter microbial methanogenesis, Fe- and Al-rich

pores fluids from the terrestrial influx and organic acid fluid mobility. Carbonate,

kaolinite and sulphide mineral precipitation occurred almost concurrently early in the

diagenetic history with certain framboidal pyrite forming within the water column

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shortly prior sedimentation. These processes were succeeded by later phase silica

authigenesis with minor chlorite and illite clay mineral replacements.

Analyses presented here further shows that the Hodder Mudstone is composed of >70%

brittle material largely from authigenic processes, hence, a potentially good shale

reservoir. More significantly, authigenic quartz is the volumetrically dominant form of

silica within the Hodder Formation. The proposed hypothesis from this study posits that

diagenetic silica precipitation was sourced from the transformation of opaline silica and

further silicate mineral reactions (e.g. kaolinite-illite transformation) possibly

contributed to the release of aqueous silica during burial.

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Chapter 5 Pore Morphology and Nanopore

Characterisation of the Hodder

Unconventional Reservoir, Bowland

Basin, UK

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5 Pore Morphology and Nanopore Characterisation of the Hodder

Unconventional Reservoir, Bowland Basin, UK

Timothy M. Ohiara1, Kevin G. Taylor1, Patrick J. Dowey1

1 School of Earth and Environmental Sciences, the University of Manchester, Oxford Road,

Manchester M13 9PL, UK

Keywords: Pores, micropore, mesopore, nanopore, nitrogen gas adsorption, isotherms,

pore size, pore volume, fractal dimension

Abstract

Pores in shales or mudstones are mostly submillimetre-scale pores hosted in and around

inorganic constituents and in mature organic matter. Micrometre– and nanometer– scale

pores between and within particles of mudstone sequences are strongly influenced by

carbonate and silicate mineral diagenesis. A visual, qualitative description and direct

quantitative pore analyses on the Lower Carboniferous Hodder Mudstone Formation,

Bowland Basin is presented here to show the morphology and controls on pore size

distribution in a mixed carbonate- and silicate-rich mudstone. The studied formation is

the UK’s potential Hodder shale gas target characterised by varying silicic-to calcitic

mudstone lithofacies. The intent of this study was to characterise pore types and mineral

components from a suite of boreholes along the northern margin of the Bowland Basin

and evaluate pore values and size distribution. The work utilised X-ray diffraction, 2D

SEM-based image analysis and N2 gas-adsorption techniques. Samples consist of

calcareous mudstones, siliceous-argillaceous mudstones and argillaceous-siliceous

mudstones. Pore types found in the studied samples are grouped into three. These are:

1) inter-particle forms occurring between mineral matrix and grains, clay cleavage planes

between pyrite microcrystals; 2) intra-particle forms found mostly within carbonate

grains and cements; 3) organic matter associated pores which are found around organic

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matter components. In the clay-rich mudstones, pores associated with inorganic

components were <300nm in diameter and comprised a large percentage of the pore

volume. Sand (bioclast)-rich mudstones exhibited isolated <1µm sized-pores due to

intense carbonate cementation and pore-filling kaolinite. The calculated porosity of

calcareous samples is between 3.6 – 4.4 % while in more argillaceous samples is 5.6 – 6.8

% porosity. Pore size distribution, pore volume, surface area and fractal dimension are

mineralogically-controlled. Argillaceous samples are dominated by smaller sized pores

and calcareous samples are mostly composed of larger sized pores. However, values of

pore volume in argillaceous samples are higher than those of calcareous samples.

Diagenetic modifications are localised and are akin to primary depositional grain

components, it is therefore posited in this study that pore values and morphology in

mudstones are primarily controlled by compositional variation of grain assemblages. The

study has implication in the resource estimation of the potential future UK shale-gas play

and in the identification of porosity controls in mixed carbonate-/silicate- mudstones.

Introduction

Technological advancement in horizontal drilling and hydraulic fracturing of organic-rich

mudstones (shales) for hydrocarbon production has prompted considerable research

into mudstone porosity (Schieber 2010; Clarkson et al. 2011; Slatt 2011; Loucks et al.

2009; Loucks et al. 2012; Chalmers & Bustin 2015; Rybacki et al. 2016; Ma, et al. 2017a).

Pore size distribution in mudstones affects the storage and migration of hydrocarbons in

mudstones (Bustin et al. 2008; Loucks et al. 2009; Slatt & O’Brien 2011; Kuila & Prasad

2013; Ma, et al. 2017b). A poor understanding of the porosity and pore size distributions

within these rocks may result in underestimation or overestimation of shale hydrocarbon

reserves (Nole et al. 2016).

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Pores in mudstones are micron to nanometre-sized voids between or within inorganic

and organic rock components (O’Brien & Slatt 1990; Chalmers et al. 2012; Loucks et al.

2012; Milliken & Day-Stirrat 2013; Kuila et al. 2014). Nanometre-scale pores and pore-

throats dominate mudstone pore networks and are associated with clay minerals and

organic matter (Javadpour 2009; Loucks et al. 2009; Kuila et al. 2012; Kuila & Prasad

2013; Ma et al. 2016; Ma, et al. 2017b). When compared to conventional sandstones and

most carbonate reservoirs, pore sizes within mudstones are an order of magnitude

smaller than conventional reservoirs (Nelson 2009; Passey et al. 2010; Chalmers et al.

2012). The diameter of pore-throats in conventional reservoir rocks is greater than 2 µm

but range from 0.1 to 0.005 µm in mudstones (Nelson 2009).

The accurate and reproducible evaluation of mudstone porosity using procedures

utilized in conventional reservoirs is an arduous task (Clarkson et al. 2011; Slatt 2011).

The inherently small pore size, the capillarity of interstitial fluid, limited pore

connectivity and very fine-grained (≤63µm) rock matrix (Schieber 2010; Milliken &

Curtis 2016) make the measurements of porosity in mudstones challenging. Additionally,

mudstones are often mineralogically diverse with poorly understood diagenetic histories

(Aplin & Macquaker 2011; Milliken et al. 2012; Macquaker et al. 2014; Milliken & Curtis

2016). The complexities in mineral authigenesis and cementation within mudstones have

a significant implication in pore evolution (Milliken & Curtis 2016).

Over the past two decades, porosity measurements in mudstones have been subjected to

innovative scientific techniques (Figure 5.1). These include fluid invasion techniques

such as ultra-high pressure mercury injection (Katsube 2000; Javadpour et al. 2007) and

low-pressure CO2 and N2 gas adsorption techniques (Liu et al. 2017; Kuila & Prasad

2013a). Other techniques involving non-destructive methods include nuclear magnetic

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resonance (NMR) imaging (Loucks et al. 2009; Sondergeld et al. 2010), scanning electron

microscopy (SEM) (Loucks et al. 2009; Jiao et al. 2014; Kelly et al. 2016; Klaver et al.

2016), transmission electron microscopy (TEM) (Curtis et al. 2010; Bernard & Brown

2013), high resolution X-ray micro- and nano-computed tomography (CT) (Cnudde &

Boone 2013; Ma et al. 2016), small angle X-ray scattering (Radlinski et al. 2004), and

small-angle and ultra-small-angle neutron scattering (SANS and USANS) (Clarkson,

Freeman, et al. 2012). The utility of these techniques affords pore characterisation at

various scales and different resolutions from 1 nm to 1 mm (Figure 5.1).

This study attempts a quantitative and direct visual qualitative pore analyses of

mudstone samples from the Hodder Mudstone, Bowland Basin, using a dual-scale

approach. The Hodder Mudstone forms the lower section of the Bowland-Hodder shale

gas play in Northwest England (Clarke et al. 2018). Studies by Andrews (2013) and Clarke

et al. (2018) of the Bowland-Hodder play report an organic-rich, thick and laterally

extensive mixed siliciclastic-carbonate sequence which may be suitable for economic

shale gas production. From outcrop and seismic data, the Hodder Mudstone is the

thickest of the three formations (Upper Bowland, Lower Bowland and Hodder Mudstone

Formations) within the hybrid Bowland-Hodder Shale gas play (Waters et al. 2009;

Clarke et al. 2018). Although previous studies have recognised its potential (Andrews

2013; Clarke et al. 2018), there has been no quantitative or qualitative characterisation

of pores within this formation. Pore quantification of one sample from the overlying

Bowland Shale using X-ray CT, SEM imaging and nitrogen adsorption by Ma et al. (2016)

showed the existence of nanometre-scale pores within organic and inorganic particles.

That study characterised the range of pore types, sizes and distributions over a range of

scales. While this provides unparalleled detail on the pore structure, it cannot be

considered to be representative and cannot be used to identify the controls on porosity

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preservation during burial diagenesis. This chapter, (i) characterises the pore structure

and pore size distribution of selected Hodder Mudstone samples from varying depths and

different facies using nitrogen adsorption data and SEM imaging and (ii) seeks to link

porosity variability to mineral compositions.

Porosity is a fundamental parameter for hydrocarbon-in-place estimates (Clarkson et al.

2011). Therefore, the results of this study are of significance in evaluating the Bowland-

Hodder Shale Play. While the storage and migration of hydrocarbon molecules through

organic-rich mudstones are still being investigated (Kazemi & Takbiri-Borujeni 2017;

Gupta et al. 2018; Song et al. 2018), this study will provide data on pore distributions

across different mudstone facies.

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Figure 5.1: The various methods utilized for estimating porosity and pore size distribution in mudstones. Redrawn from Clarkson et al. (2013). Red-outlined techniques were utilized in this study.

5.1.1 Lower Carboniferous Bowland Basin shale gas potential

Bowland Basin with surrounding intra-Carboniferous basins around the Pennine host 19

hydrocarbon fields (Andrews 2013). Increased exploration activities have resulted in a

number of exploration wells in the Bowland Basin with substantial 2D and 3D seismic

data for hydrocarbon and solid mineral prospecting since the 1960s (Figure 5.2) (Clarke

et al. 2018).

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Figure 5.2: (A) Location and geological map of the Bowland Basin showing surface outcrops and location of cited wells. Map adapted from the BGS 1:650000 geological map of the UK. (B) Interpreted seismic section GC83-352 taken from Clarke et al (2018), location of seismic line is highlighted in (A), vertical scale in two way time.

Hydrocarbon exploration activities largely targeted conventional reservoirs, however,

the past decade has seen active exploration for shale gas within ca. 5000 m thick Viséan

to Namurian age mudstone succession in the Bowland Basin (e.g. Andrews 2013; Clarke

et al. 2014; Brindle et al. 2015; Hennissen et al. 2017; Clarke et al. 2018). This succession

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consists of a hybrid of Carboniferous shale gas resource system (Figure 5.2) namely: the

Bowland-Hodder Shales and the Millstone Grit (Caton, Sabden and the Upper Shales). The

Bowland-Hodder shale unconventional resource system is divided into three units, the

Upper Bowland Shale, Lower Bowland Shale and the Hodder Mudstone (Clarke et al.

2018). These formations are laterally extensive within a network of complex fault-

bounded basins and troughs. Of interest to this study is the Hodder Mudstone Formation.

The Hodder Mudstone is a thick carbonate-rich hemipelagic mudstone with subordinate

calcareous turbidites (Gawthorpe 1986; Riley 1993; Waters et al. 2009; Andrews 2013).

It is estimated from outcrop data that the Bowland Basin is composed of about <270 m of

Bowland Shale and 900m of Hodder Mudstone (Brandon et al. 1998; Riley 1990; Waters

et al. 2009), making the Hodder Mudstone the thickest of the targeted play in Bowland

Basin.

5.1.2 Samples and methods

5.1.2.1 Samples

Ten samples from a continuous Marl Hill (MHD13) borehole core were selected for this

study (H-1 to H-10). The MHD13 borehole was drilled by BP Minerals International

Limited in 1982, on the uplifted anticline of the basin to explore for solid minerals

(Aitkenhead et al. 1992). Retrieved core samples penetrated the Carboniferous (Viséan –

Tournasian) mud and carbonate-rich succession of the Bowland Basin, and are currently

stored at the British Geological Survey (BGS) repository, Keyworth, Nottinghamshire UK

(BGS borehole reference; SD64NE35). All samples were chosen systematically following

core logging and visual inspection to include clay-and organic-rich lithologies, fractured

intervals and sections rich in bioclastic skeletal fragment. The mode of sample selection

represents the varying ranges of facies present in the Hodder Mudstone (Chapter 3).

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5.1.2.2 Bulk Mineral analysis

Quantitative mineralogical data by weight percentage of each sample were acquired

using a Bruker D8 Advance Diffractometer at the University of Manchester. Samples were

initially crushed using an agate mortar and pestle, mixed with iso-amyl acetate and

subsequently smeared on glass slides for analysis. The analysing diffractometer was

equipped with a Göbel mirror, a Lynxeye sensitive detector and an x-ray tube emitting

monochromatic CuKα1 X-rays with 1.5406Å wavelength. Mineral diffraction patterns

were evaluated using the Bruker DIFFRAC.EVA® V4 software in comparison with mineral

standards from the International Centre for Diffraction Data (ICDD) database.

Quantitatively, peak intensities of minerals were measured from X-ray diffraction data

using the Bruker TOPAS software.

5.1.2.3 Thin section petrography and SEM imaging

Thin section samples were mechanically polished and impregnated with blue epoxy

resin. Samples were prepared perpendicular to bedding and scanned using a Kodak esp®

1.2 scanner to provide high-resolution images (1200x1200 dpi). Optical micro-textural

properties of samples were examined under the Nikon Eclipse E200 ultraviolet polarized

light microscope at the University of Manchester. Photomicrographs of samples were

captured under plane and cross polarised lights.

For SEM scans, a 9nm thick conductive coating of carbon was applied on polished thin

sections. Imaging was carried out using the Philips XL30 FEG Environmental Scanning

Electron Microscope (ESEM) equipped with an energy dispersive x-ray spectrometer

(EDS) analyser at the University of Manchester. SEM imaging offered a direct

visualization and measurement of rock microstructure to a practical resolution of 5 nm

as has been proven effective in micropore characterisation of unconventional reservoirs

(e.g. Nole et al. 2016; Milliken & Curtis 2016). For this study, only morphological features

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of pore shape, relative size and occurrences were evaluated from SEM images. SEM

operational beam settings were set to 15kv acceleration voltage, with 10 mm working

distance, a spot size of 4 and mostly in back-scattered electron emission (BSE) mode. To

enable visualization of organic matter associated pores, one representative sample was

ion milled. Surface polishing on uncovered 5 mm2 chip was done using a dual beam FIB

(Nova 600i, FEI) at the School of Materials, University of Manchester. A conductive

coating of carbon was applied to limit surface charging during SEM imaging on the Philips

XL30 FEG ESEM.

5.1.2.4 Nitrogen gas adsorption pore analysis

Physical gas adsorption (physisorption) on porous solids and powders (e.g.

carbonaceous solids, zeolites and siliceous materials) is a technique widely used for

direct measurement of pore properties and has been adequately modified for various

materials since Langmuir’s attempt in 1916 and Brunauer, Emmett and Teller’s theory

(Rouquerol et al. 2013). Pore characterisation using this technique is achieved by

accurately measuring the amount of gas adsorbed on a solid material. Adsorptive gases

including Ar, CH4, CO2 and N2 are frequently used in their fluid phase on varying materials

depending on research interest (Groen et al. 2003). Sub-critical gas adsorption

mechanisms such as the N2 technique were used in this study to allow for quantitative

characterisation of 0.3 to 200nm size pores (e.g. Ross & Marc Bustin 2009; Kuila et al.

2012; Kuila & Prasad 2013a; Chalmers et al. 2012). Using isotherm data with application

of various mathematical models, the specific surface area, total pore volume, pore size

distribution and fractal analysis of pores can be calculated (e.g. Kuila & Prasad 2013a; Liu

et al. 2017).

Nitrogen gas adsorption data for the samples were carried out at Newcastle University

using a Micromeritics 3Flex 3.01 surface characterisation analyser. Ten dry <40-mesh

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powdered samples were degassed and exposed to nitrogen gas at constant cryogenic

liquid nitrogen temperature of ~77.3K (e.g. Kuila & Prasad 2013a). Due to ultralow

permeability of mudstone (10 nanodarcy to 10 microdarcy), crushing of samples

enhances volume measurement by facilitating the intrusion of low-pressure cryogenic

gas in the pore spaces (Luffel & Guidry 1989; Bertoncello & Honarpour 2013). Under

constant temperature, the volume of adsorbed gas on the solid surfaces was measured at

discrete pressures over relative adsorption pressure (P/Po) until absolute pressure

equals condensation pressure (P/Po = 1). The volume of gas adsorbed during systematic

increase (adsorption) and decrease (desorption) of pressure produces adsorption-

desorption isotherm curves and hysteresis loops (space occurring between adsorption

and desorption curves along the multilayer range of physisorption due to capillary

condensation) (Figure 5.3). Isotherm data were analysed using various mathematical

functions (BET theory (Brunauer et al. 1938), Harkins-Jura (HJ) multilayer thickness

equation (Harkins & Jura 1944), the Barret, Joyner & Halenda (BJH) model for pore size

distribution (Barrett et al. 1951), t-plot model for micropores (Kuila et al. 2014) and the

Frenkel-Halsey-Hill (FHH) fractal analysis model (Avnir & Jaroniec 1989; Pfeifer et al.

1989). The results from these calculations were utilised for quantitative and semi-

qualitative analytical plots.

In the extended IUPAC classification (F. Rouquerol et al. 2013), nine groups of isotherm

curves exist. For the purpose of this study, only four of these isotherms were applicable,

namely: type I (for purely micro-porous adsorbent), type II (for non-porous or macro-

porous adsorbent), type IIB (i.e. type II adsorbent with inter-particle capillary

condensation) and IV (for purely meso-porous adsorbent) (Figure 5.3 (B)). These

isotherms, especially type IIB are frequently observed in mudstone samples (e.g. Kuila &

Prasad 2013b; Kuila et al. 2014; Liu et al. 2017). The appearance of hysteresis in isotherm

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curves is an indication of multilayer adsorption and capillary condensation. Four

hysteresis pattern or loops are recognised by the IUPAC, namely, H1, H2, H3 and H4

(Figure 5.3 (C)) (Sing et al. 1985). A forced closure in the hysteresis loop observed mostly

at P/Po ~0.45 is attributed to “tensile strength effect” (TSE) which reflects the collapse of

the hemispherical meniscus during capillary evaporation in pores with <4 nm diameter

(Groen et al. 2003). Shape, size, and nature of closure within observed hysteresis loops

reveal predominant pore-size present in samples (Sing et al. 1985). A more

comprehensive description of isotherms and hysteresis classification is presented in Sing

(1985) and Rouquerol et al. (2013).

Pore classification adopted for this study follows the International Union of Pure and

Applied Chemistry (IUPAC) (Sing et al. 1985) and Rouquerol et al. (2013) classification.

Micropore is utilized for pore sizes <2 nm, mesopores for pore sizes between 2 – 50 nm

and macropores for >50 nm pore sizes. Loucks et al. (2012) pore size classification

however, considers <1nm as picopores, 1nm -1µm-sized pores as nanopores, 1µm-62.5

µm as micropores, 62.5 µm-4 mm as mesopores and 4 mm – 256 mm as macropore. For

this study, “nanometer-sized pores” refers to pores in the 1 nm to 1000 nm size range,

while the IUPAC nomenclature is used throughout to classify nm sized pores on the

following basis: micropore (<2 nm), mesopore (2 – 50 nm) and macropore (>50 nm).

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Figure 5.3: A) An illustration of a typical isotherm plot with adsorption branch (red) and desorption branch (green). Regions (i) representing the onset of microporous filling, (ii) monolayer filling and (iii) multilayer filling of pores. Forced closure of the desorption branch onto the adsorption branch marks the limit of multilayer filling. A hysteresis loop is formed due to capillary condensation mostly in mesopores. (B) Referenced isotherm types I, II, IIB and IV, and (C) referenced hysteresis loops H1, H2, H3 and H4 as defined by IUPAC (F. Rouquerol et al. 2013). Desorption branch of isotherm may exhibit a complete forced closure and minor closure (dashed lines).

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Results

5.2.1 Lithology description and sample mineralogy

Summary XRD mineral data for samples H-1 to H-10 is shown in Figure 5.4, superimposed

on the Lazar et al. (2015) classification scheme for the division of mudstones by mineral

compositions. This classification has end members of 100% clay, quartz and carbonates

to enable mudstone classification using compositional modifiers. Analysed Hodder

samples plot into three regions – calcareous mudstones, siliceous-argillaceous

mudstones and argillaceous-siliceous mudstones. This covers the lithological variability

of the Hodder Mudstone. A summary of hand specimen sample description is presented

in Table 8 and the micro-textural attributes are highlighted in Figures 5.5 and 5.6.

The compositional plot (Figure 5.4) and textural attributes (Table 8; Figure 5.5; Figure

5.6) from the sampled borehole show a spectrum of samples between calcareous

(bioclastic-rich) mudstones to clay-rich mudstones. Petrographic examination shows

grain-dominance of silt and clay-sized calcite, quartz and muscovite. Samples H-5, H-9

and H-10 are characterized by a high amount of sand- to gravel-sized fragmented

calcareous shells in mud matrix (Figure 5.5).

Sample matrix constitutes primarily of kaolinite and micrite, cemented by calcite and

dolomite with pyrite mineralization in all samples. Calcite ranges between 1.2% and

87.3% and quartz ranges from 1.9% and 47.9%. Ferroan dolomite is dominated by

ankerite. A positive relationship exists between the presence of lamina-parallel fractures

and high ankerite and siderite content in clay-rich samples. The amount of muscovite and

kaolinite is inversely correlated to grain size. Where detected by XRD, muscovite can be

up to 35.2% of total mineralogy. Generally, samples rich in coarser (mainly sand-sized)

calcareous fraction have limited clay minerals and relatively higher calcite content in

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comparison to clay-rich samples. Apart from visible macro-skeletal components (e.g.

crinoids, gastropods and molluscs shells), calcareous microfossils (e.g. foraminifer,

calcified spicules and calcareous algae) are recognised in bioclastic-rich samples. All

sampled intervals contain a significant amount of pyrite, distributed as pyrite framboids

and disaggregated microcrystals.

Figure 5.4: Ternary plot of weighted fraction of minerals calculated from XRD data. Plotted to fit into the Lazar et al. (2015) mudstone classification

Sample ID

Depth (m)

Sample description

H-1 78.0 Dark grey, clay-rich, planar laminated mudstone with 2 mm thick horizontal cemented fracture

H-2 81.1 Dark grey, clay-rich fractured mudstone with 2 cm thick vuggy brown and white cemented horizontal fractures.

H-3 88.7 Dark grey, silt-rich unlaminated, bioclast-bearing mudstone H-4 90.4 Dark grey, clay-rich, unlaminated mudstone with <1mm cemented

veins H-5 91.6 Dark grey, gravel-sized bioclast-dominated mudstone with clay-

rich matrix H-6 121.6 Dark grey, clay-rich unlaminated mudstone

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H-7 174.8 Medium grey unlaminated bioclast-bearing mudstone with fibrous cemented veins and sand-sized shell fragments

H-8 228.6 Dark grey, clay- and bioclast-rich bioturbated mudstone H-9 244.2 Dark to medium grey, wavy laminated, gravel sized bioclast-rich

mudstone H-10 262.2 Dark grey, silt- and sand-sized bioclast-dominated bioturbated

mudstone Table 8: Descriptive summary of core samples

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Figure 5.5: Core photographs (CP), thin sections scans (TS) and microscope photographs in plane polarised light (PM) showing samples H-1 to H-5. H-1 characterised by planar laminations of silt- and clay-rich laminae with horizontal and vertical mineralised fractures.H-2 representing horizontally fractured clay-rich units. H-3 is a representative sample of calcareous silt-rich samples. H-4, a typical clay-rich sample with meandering mineralized fractures. H-5 represents an unlaminated bioclast-dominated (mostly crinoidal) mudstone.

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Figure 5.6: Core photographs (CP), thin sections scans (TS) and microscope photographs in plane polarised light (PM) showing samples H-6 to H-10. H-6 showing clay-dominated sample. H-7 here representing dendritic-fractured silt-rich samples. H-8 represents a bioturbated calcareous silt-rich unit. H-9 shows images from the wavy laminated bioclast-dominated unit. H-10 represents bioturbated bioclast- and silt-dominated unit.

5.2.2 Pore types and morphology

Pores within the studied Hodder samples are classified here into two broad groups. These

are (i) matrix framework pores and (ii) organic matter pores. Framework pores

constitute inter-particle and intra-particle pores preserved around or hosted in,

inorganic grains of quartz, carbonates, pyrite and phyllosilicates. Organic-matter pores

are pore associated with amorphous kerogen or bitumen (Bohacs 2013). Careful

attention has been given in the study to exclude seemingly artificially-induced pores

which may be a product of grain “plucking” and grain-fracturing.

5.2.2.1 Inter-particle framework pores

Inter-particle framework pores occur as elongate, triangular (wedge-shaped) to

irregularly shaped pores between grains (inter-granular) and crystals (inter-crystalline).

They are observed between constituent grains of calcite, dolomite, quartz, phyllosilicates

and pyrite framboids. Elongate-shaped inter-particle pores are up to 13.6 µm in length,

preserved between phyllosilicate crystals of kaolinite especially in kaolinite-filled shelter

pores (Figure 5.7). The pore diameter is less than 2 µm. These pores are termed

framework shelter pores by Scheiber (2013). In some cases, inter-particle pores

appeared oblate when preserved between sheets of bent muscovite grains or when

wedged open by rigid grains (Figure 5.7 (B)). Some inter-particle framework pores are

also preserved within “pressure shadows” (Schieber 2010; Schieber 2013) caused by the

resistance in compaction around ductile phyllosilicate grains and adjacent compaction-

resistant rigid grains of calcite, quartz or pyrite (Figures 5.7 (A) & (C)) (e.g. Schieber

2013). Other occurrences of inter-particle pores are associated with fibrous illite cement

between larger quartz grains (Figure 5.7 (D)). Inter-particle framework pores constitute

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the most abundant pore type within the studied samples. They are commonly isolated

and higher longitudinal dimension than other pore types (intra-particle and organic-

matter pores).

5.2.2.2 Intra-particle framework pores

Intra-particle pores are commonly associated with carbonate minerals. Carbonate intra-

particle pores occurred in the samples as isolated dissolution pores in shells of bioclastic

debris and in carbonate cements (Figure 5.8). They are circular to polygonal in shape and

rarely connected. In regions where carbonate cement shows replacement textures, slit-

shaped pores were developed within partially cemented patches (Figure 5.8 (A)). Intra-

particle pores associated with calcite are largely isolated and are not connected to the

surrounding inter-particle pores network. Nanometre-sized intra-particle pores are

abundant in shell skeletal parts, but larger (up to 5 µm diameter) pores can be observed

in cemented cavities of organisms. Micrometre-sized elongate pores can be preserved in

such cavities if initially cemented by kaolinite (Figure 5.8 (A)).

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Figure 5.7: Inter-particle framework pores showing (A), inter-granular pores (arrows) in pressure shadows between calcite and kaolinite; (B) inter-granular elongate slit-like pores (arrows) occurring around a bent muscovite grain; (C), inter-crystalline slit-like pores in between kaolinite sheets and shadow pressure pores (arrow) preserved between grain; (D) inter-crystalline pores hosted by illite minerals between quartz grains. (E) and (F) show pores hosted in pyrite framboids

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Figure 5.8: Examples of identified intra-particle pores in the studied samples. Calcite hosted dissolution intra-particle pores observed in calcite-cemented shells and cavities outlined in (A) & (B). SEM image (C) is a zoomed in section of calcareous shell magnifying the morphologies of intra-particle pores. Dolomite crystals are shown in (D) also host intra-particle pores

5.2.2.3 Organic-matter pores

Organic matter (OM) can be preserved in source rocks as structured kerogen,

unstructured (amorphous) kerogen or bitumen (Taylor et al. 1998; Schieber 2013).

Amorphous kerogen and bitumen are known to host a significant amount of pores in both

immature (Löhr et al. 2015) and mature organic-rich mudstones (Curtis et al. 2010;

Schieber 2010; Schieber 2013; Ma et al. 2017). Organic matter recognised within the

analysed Hodder Mudstone displayed 2 – 20 µm thick, mostly wavy-lamellar to sub-

angular dark particles (Figure 5.9). These morphologies are similar to lamellar bituminite

and irregular bituminous ground masses (e.g. Fishman et al. 2012). Such features have

also been interpreted as lamellar alginite and woody organic matter (Löhr et al. 2015).

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Within the Hodder Mudstones there is lack of obvious pores in the OM components,

although irregularly shaped pores have been observed in most OM particles (e.g. Loucks

et al. 2009; Fishman et al. 2012; Milliken et al. 2013). However, OM-related pores in the

studied samples are present around the outer wall of organic matter (Figures 5.9 (E) &

(F)). These pores occurred at the boundaries of organic and inorganic particles and may

be artificial products of sample preparation (Löhr et al. 2015). An attempt made to

enhance visualization of organic matter-associated pores using argon-ion milled surfaces

yielded similar results (Figure 5.9 (F)). It is thus reported in this study that intra-particle

OM-related pores are not a common feature in the Hodder Mudstone.

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Figure 5.9: High-resolution SEM showing non-porous organic matter occurrences (OM). (A) & (B) Wavy and elongate organic matter lamellar. (C) Bituminous patch under back-scatter emission and (D) same region under secondary emission. (E) & (F) shows pores around pore walls of organic matter both under the secondary emission with (F) taken from an ion-milled surface.

5.2.3 Pore size quantification

5.2.3.1 Isotherm profile analysis

The isotherm curves of analysed samples shown in Figure 5.10 reveal dominance of Type

IIB curves with H3 hysteresis loops of varied closure patterns. Type IIB profiles and

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hysteresis loops indicate dominance of meso- to macropores (> 2 nm) with less obvious

micropores (<2 nm) (Kuila & Prasad 2013a; Rouquerol et al. 2013). H3 loops are also

reportedly associated with materials of platy particles pores (Rouquerol et al. 2013).

Micropore-filling is prevalent at P/P0 <0.01 (Kuila et al. 2014) represented by a steep

convex-shaped start in the adsorption curve(Figure 5.3 (A)) (Rouquerol et al. 2007).

However, as can be seen from the isotherm curves (Figure 5.10), there is limited evidence

in the isotherms for micropore filling in all samples. To estimate micropores values for

samples that likely contain no micropore volume, the t-plot model can be utilised (Section

2.3.4). The steeply convex-shaped end of the adsorption and desorption curves towards

higher P/P0 >0.8 indicates the presence of >200nm sized pores (e.g. Kuila et al. 2014). At

a relative pressure range of 0.05 – 0.1, multilayer adsorption began in all analysed

samples. Multilayer adsorption is usually typical of mesoporous and macroporous

materials (Kuila & Prasad 2013b; Liu et al. 2017). Tensile strength effect (TSE) of

hysteresis in the samples occurred at a relative pressure of 0.42 with the closure of the

desorption branch (Figure 5.10). The appearance of TSE on curves reflects a random

distribution of mostly interconnected mesopores with diameters <4 nm (Groen et al.

2003; Kuila & Prasad 2013b).

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Figure 5.10: Low-pressure N2 (77K) adsorption-desorption isotherms of samples H-1 to H-10. Regions A1 and A2 demarcated at 0.5 P/Po, for calculating fractal dimensions of monolayer adsorption regions (A1) and multilayer adsorption regions (A2). Isotherm curves are apparently similar but significant variations can be observed in the volume of adsorbed gas by samples at corresponding relative pressures. Higher values of adsorption recorded in H-4 and lowest values in H-9 & H-10. Pie chart of bulk mineralogy indicate control of mineralogy on isotherm behaviour.

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5.2.3.2 Pore volume (PV) and specific surface area (SSA)

The quantitative evaluation of pore volumes and surface area within the Hodder samples

in this study was based on the BJH approach and the BET specific surface area (SSA)

model. The BJH cumulative pore volume and surface area of analysed samples are shown

in Table 9. It is apparent from the table that the calcareous (bioclastic) samples (e.g. H-7

to H-10) contain pores with the low SSA (<7 m2/g) while pores hosted by argillaceous

samples (e.g. H-1, H-3 and H-6) have larger SSA values. Similarly, the largest recorded

cumulative pore volume is hosted by sample H-4 with other lesser-calcareous samples

(H-1, H-3 and H-6) having pore volumes c. 2.5 cm3/100g. Highly calcareous samples,

comparatively, hosts the smallest pore volumes (e.g. PV of 0.9 cm3/100g in H-9). The

average pore volume of calcareous samples is 1.6 cm3/100g while more argillaceous

samples have an average value of 2.5 cm3/100g. Assuming marl to shale bulk density of

2.25 to 2.75 g/cm3 (Schön 2015), the calculated average porosity (pore volume/bulk

volume) of calcareous samples is between 3.6 – 4.4 % while in more argillaceous samples

is 5.6 – 6.8 % porosity.

5.2.3.3 Pore sizes and pore size distribution (PSD)

Estimates of pore diameters and pore size distribution (PSD) were derived from the

adsorption branch of isotherms using the BJH model. Although the BJH model is

theoretically designed to be applied on the desorption branch and consequently limited

to pore sizes of 4-5 nm, it has been discovered that PSD derived from the adsorption

branch of the isotherms provide a more reliable representation of the actual pore system

(Kuila & Prasad 2013b). This is reportedly due to the effect of differential emptying of

encapsulated and open pores of similar sizes during desorption (Groen et al. 2003),

termed network-percolation effect (Figure 5.11) (Sing et al. 2013).

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Figure 5.11: Graphic illustration of pore network effects in adsorption measurements of interconnected small (a, b), intermediate (c) and large pores (d) (adapted from Groen et al. (2013). Pores (a) and (b) will empty at their corresponding low pressure during desorption than needed for emptying pore (c). Since pore (d) can only empty via (c), it will accordingly empty at a lower pressure empirically required.

Average pore widths of samples using the BJH adsorption model can be seen in Table 9.

The average pore sizes of the Hodder samples vary between 7 nm to 15 nm. It is clear

from Table 9 and Figure 5.12 that clay-rich samples have smaller pore diameter while

calcareous samples host larger pores. This is seen the abundance of small pore sizes in

argillaceous samples H-4 and H-6 while highly calcareous H-9 recorded the largest pore

size (Table 9).

Pore size distribution plot for the Hodder samples shows a widely distributed bi-modal

volumetric maxima of the calculated pore sizes (Figure 5.12). Pore sizes within the ranges

of 2.5 – 3 nm and 20 – 40 nm are responsible for the maximum peak values of bulk volume

in all samples. Apart from sample H-4, all samples have peak pore volumes occupied by

>4 nm sized pores.

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Samples

Pore volume (cm3/100g) Average

Pore diameter

(nm)

SSA (m2/g) Fractal

dimensions

BJH cumulative

PV

t-plot micropore

volume

BET SSA

BJH cumulative

SSA

t-plot micropore

SA D1 D2

H-1 2.5 0.046 10.61 10.34 8.27 0.96 2.561 2.67

H-2 1.3 0.041 12.59 5.31 3.99 0.81 2.598 2.665

H-3 2.5 0.094 9.2 14.03 10.07 2.10 2.601 2.776

H-4 3 0.144 7.45 21.1 14.35 2.87 2.591 2.725

H-5 1.9 0.008 9.49 8.71 7.91 0.22 2.536 2.711

H-6 2.5 0.071 7.98 14.77 11.05 1.50 2.58 2.754

H-7 1.2 - 12.92 3.2 3.14 - 2.476 2.58

H-8 2.1 - 12.56 6.84 6.24 0.06 2.508 2.64

H-9 0.9 - 15.35 2.59 2.48 - 2.505 2.595

H-10 1 0.015 15.33 2.63 2.22 0.30 2.55 2.571

Table 9: Pore quantitative analysis of samples H-1 to H-10

Figure 5.12: BJH pore size distribution (PSD) curves for samples H-1 to H-10 obtained from N2 isotherms, displaying the volume (amount of gas adsorbed) occupied by various pore sizes (pore diameter) using the BJH Model. Calculated porosity data of samples using bulk densities of quartz and calcite is also shown.

5.2.3.4 T-plot micropore analysis

Using the t-plot technique, micropore (pore <2 nm) volume and micropore surface were

estimated for the Hodder samples (Table 9). T-plot micropore volume varied from 0.008

to 0.144 cm3/100g and micropore surface area ranging between 0.06 to 2.87 m2/g. H-4,

H-3 and H-6 recorded the largest micropore volume >0.05 cm3/100g. T-plot micropore

volume has a strong positive correlation with the t-plot micropore surface area.

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5.2.3.5 Fractal Analysis

Since pores are defined by pore walls (Milliken & Curtis 2016), it is imperative to

understand the character of pore walls in order to predict their behaviours. The geometry

of pores in mudstones are irregular and hence, qualify as non-Euclidean dimensions

(Mandelbrot 1982). Due to these surface irregularities and complexity of pore surfaces,

they are adequately defined by fractal dimensions (e.g. Mandelbrot 1982; Pfeifer & Avnir

1983). This fractal geometry of pores directly impacts their sorption and diffusion

behaviours (Naveen et al. 2018). Fractal Frenkel-Halsey-Hill (FHH) models have been

utilized in various studies for estimating the fractal dimensions or surface roughness of

micro- and mesopores from N2 adsorption isotherms (e.g. Yao et al. 2008; Liu et al. 2017;

Mahamud & García 2018; Naveen et al. 2018; Wang et al. 2018). The classical fractal FHH

equation is given by:

𝑙𝑛 {𝑉

𝑉0} = 𝑐𝑜𝑛𝑠𝑡𝑎𝑛𝑡 + (𝐴)𝑙𝑛 [ln (

𝑃0

𝑃)]

Where V is the gas molecular volume adsorbed at equilibrium pressure P; V0 is the

monolayer volume calculated by using the BET equation and P0 is the saturated vapour

pressure of gas adsorption. A is the slope of the regression line, 𝑙𝑛 {𝑉

𝑉0} versus 𝑙𝑛 [ln (

𝑃0

𝑃)]

Where 𝐴 = 𝐷 − 3 𝑜𝑟 (𝐷 − 3)/3

The degree of surface roughness or irregularity (fractal dimension) is expressed by the

parameter D. the expression 2 ≤ D ≥ 3 is given for non-intersecting surfaces where for

perfectly smooth, flat surface, D = 2; and for highly rough and irregular surface, D = 3

(Pfeifer & Avnir 1983; Avnir et al. 1983). During monolayer adsorption, attractive van der

Waal forces are dominant between gas and solid particles and gas interface replicates

surface roughness; A, in such case, takes the value of (D – 3)/3. At higher coverage

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(mesopores), the interface is controlled by capillary condensation subsequently reducing

interface area, and A = D – 3 (Ismail & Pfeifer 1994). These two regions are demarcated

on the isotherm curve at P/P0 0.5 as shown in Figure 5.10, labelled A1 and A2. In practice,

adsorption forces in samples are considered to be a mixture of both Van der Waals forces

and capillary condensation (Wu 1996). In the case of mesoporous solids, the adsorption

process is dominated by capillary condensation (Sahouli et al. 1997). Since the pore size

distribution of pores in the samples are mesopores, A = (D – 3) is applied for both regions

A1 and A2. The resultant fractal dimensions (D1 and D2) derived from the slopes of the

regression lines, A1 and A2 are shown in Figure 5.13 and Table 9. D1 values reflect the

nature of pore surfaces during mono-multilayer adsorption and D2 values measure the

pore structure complexity (Liu et al. 2017; Wang et al. 2018). Linear plots of A1 and A2

have dissimilar slopes indicative of different gas adsorption mechanisms in the two

regions. Correlation coefficients (R2) of plotted data points are all higher than 0.99,

suggesting that there are fractal characteristics in the pores of the studied Hodder

Mudstone samples. It is evident from the data presented in Figure 5.13 and Table 9 that

the fractal dimensions D1 are lower than D2 values. D1 values range from 2.46 to 2.601

while D2 values vary between values are between 2.571 to 2.754. These results are

indicative of increased irregularities in pore structure and less complicated pore surfaces.

Similar trends have been observed in the Bakken Shale (e.g. Liu et al. 2017).

A correlation of pore volume and pore diameters with fractal dimensions show that pore

walls of larger pores contained in the Hodder samples are relatively smoother than

smaller sized pores (Figure 5.14). Figure 5.14 (A) shows negative correlations of D1 and

D2 values with pore diameter. However, as can be seen in Figure 5.14 (B), the total pore

volumes of analysed samples have a positive correlation with fractal dimensions. This

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suggests that smaller pores with highly irregular dimensions constitute the bulk of pore

volume in the Hodder Mudstone.

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Figure 5.13: Relationship between lnV and lnln(1/(P/Po) from the FHH fractal analysis based on N2 adsorption isotherms. D1 is the fractal dimension values derived from the slope (blue) of monolayer adsorption data (Region A1 of Figure 5.10), and D2 is the fractal dimension derived from the slope (red) of multilayer adsorption data (Region A2 of Figure 5.10).

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Figure 5.14: FHH fractal dimension versus (A) average pore diameter and (B) total pore volume. D1 (blue) uses fractal values of Figure 5.13 for monolayer adsorption, and D2 uses fractal values of Figure 5.13 for multilayer adsorption.

Discussion

5.3.1 Sample composition and qualitative pore observations

Pores in the Hodder Mudstone samples show variation in occurrence based on

mineralogical and textural compositions. Inter-particle pores were dominant in more

argillaceous samples while intra-particle pores dominated carbonate-rich samples.

Framework wedge-shaped inter-particle pores are frequently observed in argillaceous-

siliceous and siliceous-argillaceous samples (e.g. H-4, H-6 and H-8) (Figure 5.7) due to

the arrangement of rigid and ductile grains. These samples are characterised by silt-

/clay-sized rigid calcite, dolomite, quartz and ductile muscovite and kaolinite minerals.

Secondly, elongate inter-particle pores between muscovite and kaolinite cleavage planes

were also abundant in most argillaceous samples (Figure 5.7). These pore occurrences

are typical of pore morphologies observed in some argillaceous mudstone samples (e.g.

Pommer & Milliken 2015). Framework inter-particle pores appear more irregular,

elongated and interconnected than dissolution intra-particle pores hosted in calcareous

shells and cements of calcareous mudstones. Furthermore, interconnected, inter-particle

pores hosted in pyrite framboids are also well preserved in argillaceous samples than in

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calcareous samples, due to calcite-cementation of pyrite-hosted pores in the calcareous

samples. Argillaceous mudstones with pyrite framboids are known to have pores

preserved between individual microcrystals of the framboids (Loucks et al. 2010; Loucks

et al. 2012).

Conversely, intra-particle pores were mostly associated with carbonate grains and

cements. A number of Hodder Mudstone samples from this study, comprised calcite-

cemented debris of primary unstable magnesium-rich shells. Pervasive cementation of

inter-particle pores is observed especially in these bioclastic facies. The impact of calcite

cementation is evident across H-5 and H-9 bioclastic-rich samples where inter-particle

pores are mostly cemented by calcite (Figures 5.8 (A) & (B)). Pore-filling calcite and

dolomite cements are also observed replacing kaolinite sheets, thus occluding kaolinite-

hosted pores (Figure 5.8 (A)). Although shelter pores preserved by kaolinite are

significant in dissolved shells of most foraminifers in the samples, calcite cementation of

such pores are prevalent in highly calcareous samples. Framboidal pyrite is observed in

all analysed samples, however, calcite precipitation in highly calcareous samples resulted

in the occlusion of such pores. Carbonate-rich mudstones characterised by high primary

aragonitic shells exhibit increased levels of mineralogical instability and chemical

reactions that resulted in the loss of inter-particle pores (Milliken & Day-Stirrat 2013).

In accordance with present findings, previous studies have demonstrated that pore

structures and occurrences in mudstones are controlled by their mineralogical

composition (Kuila et al. 2012; Slatt & O’Brien 2013; Milliken & Curtis 2016). Due to

diagenetic processes, a large number of inter-particle pores are lost during burial. The

variations in mineralogical composition exert control on pore development during

mechanical and chemical diagenetic processes. For example, it is observed from studied

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samples and other studies (Day-Stirrat et al. 2010; Schieber 2010; Milliken et al. 2012)

that rigid silt-sized quartz and carbonate grains tend to preserve inter-particle porosity

in part by sheltering more ductile clay-sized phyllosilicates from preferential alignment

due to the mechanical arrangement. Phyllosilicate minerals (e.g. authigenic kaolinite and

illite) are also known to host pores between crystalline cleavage planes (e.g. Sondergeld

et al. 2010; Anovitz & Cole 2015; Pommer & Milliken 2015). Phyllosilicate-associated

pores are rarely preserved in the more calcareous samples but they are largely present

within the argillaceous units. In calcareous samples, these pores are rarely preserved.

These observations indicate that pore development (occurrence and structure) in the

Hodder Mudstones is primarily controlled by the compositional variation of detrital and

biogenic grain assemblages. These variations subsequently controlled the preservation

and/or occlusion of pores during diagenesis. Hence, the types and shapes of pores

recognised in the studied samples were influenced and transformed by a combination of

primary sedimentary components and diagenetic mineral precipitation.

5.3.2 Mineral composition and pore quantification

Sample mineralogy reportedly exhibits a strong control on pore-size distributions in

mudstones (Kuila & Prasad 2013b). Based on the presented quantitative mineralogical

and pore data with the correlational analysis in Figure 5.14, samples are observed to be

influenced by variation in mineral compositions. Although samples are thermally mature,

organic matter pores were not readily observed. While their presence may significantly

contribute to pore volume, their correlation with pore results has not been discussed due

to limited evidence. Comparisons have been made using only inorganic (carbonate and

silicate) components.

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5.3.2.1 Carbonate minerals and pore values in mudstone

Pore volume (PV) and pore surface area (PSA) decreases with high carbonate content

while the pore diameter is directly proportional to carbonate content. This increase in

pore diameter and the decrease in PV and PSA is due to the presence of intra-particle

mesopores in calcareous samples. Pores in calcareous samples are mostly dissolution

pores which may be few but exhibit large pore diameters. The lower values in PV and PSA

with the increase in carbonate fraction is likely due to the limited number of such pores

(Figure 5.14). For example, in the pore size distribution curve (Figure 5.11), samples with

more than 60% carbonate content (e.g. H-9, H-10) exhibit very low pore volume occupied

by >10 µm diameter pores. Large intra-particle dissolution pores have been identified to

contribute towards higher pore volumes subject to their abundance (e.g. Chalmers et al.

2012). The abundance of carbonate mineral may be due to the high volume of bioclast

content (e.g. H-9) or cemented fractures (e.g. H-2), however, their pore attributes are

largely similar.

5.3.2.2 Silicate minerals and pore values in mudstone

Quartz and clay-mineral content are observed to have similar effects on quantitative pore

values. As quartz fraction increases in samples, PV and PSA increases (Figure 5.14). This

trend is also similar to phyllosilicate content since PV and PSA increase with

phyllosilicate weight fraction. Conversely, pore diameters within these samples show a

negative correlation with quartz and phyllosilicate mineral fractions. This may mean that

the preservation of inter-particle pressure-shadow pores and slit-like elongate pores

caused by the interaction of rigid grains and clays minerals improved pore distribution

and abundance. These pores may have smaller diameters relative to the larger intra-

particle pores in calcareous lithologies. Their higher abundance, however, is responsible

for the associated high pore volume.

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The combination of these findings provides some support for the premise that

siliciclastic, silt-rich argillaceous samples offer higher porosity than carbonate-rich

samples. Furthermore, drawing findings from chapter 4, it is evident that calcareous

samples experienced significant calcite cementation and pervasive pores occlusion.

Conversely, the precipitation of authigenic illite between silicate grains enhanced late

development of phyllosilicate-associated pores.

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Figure 5.15: Comparative statistical analysis of sample mineralogy in relative weight percent (quartz:carbonate:phyllosilicate) and pore attributes

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5.3.3 Implication for Bowland-Hodder unconventional shale gas exploration

Analyses of acquired well data and direct petrophysical measurements of the overlying

Bowland Shale provide an estimated (P50) amount of original gas-in-place as 1329 tcf

(Clarke et al. 2018). No direct porosity measurements have been obtained from the

deeply buried Hodder Mudstone in the explored area. By utilizing core data from the

uplifted fold belt of the Basin in this study, the geometric and estimated volumetric pore

results offer an understanding of pore properties in the Hodder Mudstone.

Notwithstanding the relatively limited sample, these findings provide a conceptual

representation of mudstone porosity within the understudied formation. These initial

results draw attention to the importance of understanding mineralogical variation within

the underexplored Hodder Mudstones. Taken together with other petrophysical

estimates, the data presented in this study is beneficial for the appraisal of the Bowland-

Hodder shale gas play. Furthermore, owing to its exploratory nature, it also lays a

groundwork towards future research in characterising the mechanical properties and

improving hydraulic fracture propagation of the formation.

The findings presented in this study are correspondingly significant in evaluating

mineralogical controls on mudstone pore attributes. The bulk of pore volume recorded

from the analysed Hodder Mudstone samples are due to the presence of meso- and

macropores. Comparatively, high pore volume has been attributed to increase in meso

and macropore surface area and pore volume in the Niobrara, Barnett, Marcellus,

Woodford and Haynesville shales (Chalmers et al. 2012; Kuila et al. 2012). Such mineral

framework-related pores as recognised in the analysed samples and from other active

shale reservoirs make up significant components of inter-particle mineral porosity. By

correlating pore size distribution in lithofacies and associated pore volumes, possible

lateral prediction across similar lithologies can be made.

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This study has also raised important questions regarding the lack of OM-related intra-

particle pores within the Hodder Mudstone. Total porosity of most organic-rich

mudstone reservoirs of prominent shale gas plays are dominated by organic matter

related pores (Loucks et al. 2009; Ambrose et al. 2010; Curtis et al. 2011; Milliken et al.

2012) These pores may be primary or secondary, controlled by kerogen type, TOC

content and thermal maturity (Curtis & Ambrose 2011; Loucks et al. 2012; Milliken et al.

2013; Schieber 2013; Löhr et al. 2015; Ma et al. 2017). It is not clear from this study as to

the reason for the dominance of non-porous organic matter. While it is believed that OM-

hosted pores develop during thermal maturation, OM-hosted pores have been observed

in Devonian-Mississippian Woodford shales with vitrinite reflectance as low as 0.4 %Ro

(Löhr et al. 2015). RockEval data presented in Chapter 4 shows that the Hodder Mudstone

is thermally mature (oil + gas window) with calculated vitrinite reflectance between 0.83

%Ro to 1.12 %Ro. Both type II and III kerogen have also shown to host OM-related pore

development (e.g. Fishman et al. 2012). The Hodder Mudstone is comprised of admixed

type II and III kerogen (Chapter 4). Hence, there is to be expected some occurrence of

OM-hosted intra-particle pores. Since this study was inadequate in characterising OM

pores present within the samples, it did not explore this research question. Considerably

more work will need to be done to conclusively determine the cause for non-occurrence

of OM-related pores. The resultant output of the further study will offer a layer of

understanding into the relationship between organic matter porosity and organic-rich

mudstone reservoirs.

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Conclusion

1. The studied Hodder Mudstone samples are predominantly carbonate-rich,

comprising of calcareous mudstones, siliceous-argillaceous mudstones and

argillaceous-siliceous mudstones.

2. Samples are characterised by varying mineralogical compositions of calcite,

dolomite, ankerite, quartz, muscovite, kaolinite and pyrite. Other accessory

minerals include siderite, phosphate, chlorite and marcasite.

3. Pore types include inter-particle mineral pores, intra-particle dissolution pore and

organic matter associated pores. SEM image data show that inter-particle pores

occurred between grains and matrix, and are associated with quartz, carbonate,

phyllosilicate minerals and in pyrite microcrystals. Intra-particle pores are

dominated by carbonate dissolution pores in replaced shell fragments. Organic

pores were observed within organic matter matrix.

4. Pore morphologies and dimensions are typical of pore types. Phyllosilicate-

associated pores are preserved as elongate to sub-angular pores while triangular

pores are seen preserved between rigid grains and clay minerals. Carbonate

dissolutions pores are mostly round

5. Quantitative pore values reveal strong control of sample mineralogy on pore

volume, surface area and roughness and pore size distribution.

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Chapter 6 Summary, conclusion & future work

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6 Summary, conclusion & future work

This chapter summarises the research findings and brings together the main ideas

presented in the preceding chapters. It documents how the project aims have been

addressed while drawing conclusions on the wider implication of the studies.

Recommendations for future research are also outlined that address unanswered

questions that were developed over the course of the study.

Summary of Results and Implications

This research was undertaken to examine the sedimentological variation, diagenetic

evolution and porosity characterisation of the carbonate- and siliciclastic-rich shale gas

reservoir prospect in the UK Bowland Basin. The overall research followed the workflow-

approach outlined in Chapter 1. After a comprehensive understanding of mudstones and

the study area from published literature, three questions were identified and developed

into three studies (Chapters 3, 4 and 5).

6.1.1 Study 1 (Chapter 3): A characterisation of sedimentary facies and

depositional controls of the studied succession

The overarching aim of the study presented in chapter 3 was to understand the lateral

and vertical sedimentological variations in the study area. It provided an insight into the

facies of the Hodder Mudstone and the facies variability of samples from the studied

borehole cores. Earlier studies had developed different depositional models for the

Bowland Basin (Gawthorpe 1986; Newport et al. 2017). However, due to recent advances

in the understanding of carbonate clastic (calciclastic) gravity flow deposition, the

controlling factors for the sedimentary processes involved in the deposition of the

studied mud-rich sediment needed to be re-evaluated. These processes have implications

in the understanding and prediction of laminae- to bed-scale facies variation.

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Using core description and petrographic data, a series of research objectives were

developed to address the questions in Chapter 3. These objectives included (1)

highlighting sedimentological evidences for calciclastic deposition within the units; (2)

to review the depositional processes responsible for the distribution of facies in a current

context of calciclastic sediment gravity (density) flow deposits; and (3) to produce a

conceptual depositional model for the mud-rich calciclastic facies of the Lower

Carboniferous Bowland Basin. Since the understanding and documentation of ancient

calciclastic submarine fan systems are still lacking in comparison with siliciclastic

equivalents, this study documented evidence for a calciclastic submarine fan system.

Seven distinct facies were recognised with sedimentary features typical of submarine

gravity flow deposits. The facies included: F1- Wavy-laminated, gravel-to-sand

(bioclastic) and silt-rich limestone; F2- Poorly-laminated, bioturbated, silt-rich and sand

(bioclastic)-bearing limestone; F3- Unlaminated sand- and silt-rich arenite; F4-

Unlaminated clay-dominated mudstone; F5- Parallel, planar-laminated to convoluted

silt- and clay-rich mudstone; F6- Unlaminated silt- and bioclast-dominated limestone; F7-

Intraclastic, bioclast- and sand-rich limestone. These facies were grouped into three

carbonate turbidite members, namely: calciturbidites, densite mudstone and

calcidebrite. The calciturbidites and calcidebrites represent calciclastic deposits

comprising mainly of bioclasts and lithoclasts set in a muddy to a sandy matrix. Densite

mudstone included laminated and unlaminated mud deposits. Laminated sections within

the densite mudstone show evidence of soft sediment deformation from gravity flow

deposits.

Calciturbidites were dominated by products of high- to low-density flows. Densite

mudstone included deposits of waning, tail-end of turbulence and hemipelagic fallouts.

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Calcidebrite were products of event slump and slide deposition of chaotic hyper-

concentrated to muddy debris flows. It was observed from this study that the

depositional sequence of high- to low-density turbidites and event debris flow beds were

controlled by synsedimentary tectonics. The tectonic activity resulted in asymmetric

subsidence and the tilting of half graben in a NW-SE direction, which enhanced carbonate

platform shedding. The surrounding highlands towards the north is considered

responsible for the delivery of terrigenous sediments in the basin. The mud-rich high- to

low-density calciturbidites (i.e. high-efficiency turbidity currents deposits) were

invariably overlain by basin plain and fluid mud sediments.

Strong evidence for a calciclastic submarine fan depositional system for the studied facies

was highlighted, which was supported by the presence of (i) facies architectural elements

typical of calciclastic floor fan setting; (ii) sediment interruption of siliciclastic to

calciclastic channel-like sand facies during mud deposition; (iii) calciclastic and

siliciclastic components suggestive of mixed terrigenous and upper carbonate slope

tributary channel feeding system. Sediment gravity flows may be triggered by deltaic

deposition. However, previous studies within the basin as referenced in the Chapter 3

report that deltaic processes in the Bowland Basin postdates the studied succession. It is

posited from this study that sedimentation process was mostly gravity controlled

involving carbonate platform shedding possibly during wave rebounds, the instability of

slope and slope failures, and fault was scarps sedimentation. This is evidenced by the

faunal remains of shallow marine origin deposited alongside deeper water algae. It was

further proposed in the study that multiple gullies may have developed along the shelf

break and the fault-controlled physiography influenced the formation and deposition of

channelized submarine fan complex.

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The facies pattern produced in the studied basin are not cyclical and correlation is

problematic. Being considered as unconventional shale gas reservoir, there is a high risk

in predicting the lateral continuity of reservoir facies. This variability in sedimentary

facies will consequently affect the mechanical properties and ultimately reservoir

productivity.

6.1.2 Study 2 (Chapter 4): The diagenetic evolution of minerals in Hodder

Mudstone

This study focused on evaluating paragenetic sequences and understanding the

controlling factors of carbonate and silicate cementation. The study utilised evidence

from high-resolution petrography (ultra-violet light microscopy, SEM), mineralogy (XRD)

and geochemical data (XRF, EDS, EPMA, RockEval pyrolysis) to characterise the

diagenetic events of the Lower Carboniferous Hodder Mudstone succession. It firstly set

out to present a paragenetic sequence and the resulting minerals and textures within the

Hodder Mudstone. The second objective was to argue for the abundance of authigenic

quartz cement as an integral component in the Hodder Mudstone and to highlight the

likely origin, geological controls and timing of authigenic quartz.

Diagenetic processes significantly impact textural and compositional heterogeneity in

mudstones (Milliken et al. 2012; Milliken & Day-Stirrat 2013; Macquaker et al. 2014;

Taylor & Macquaker 2014). In order to evaluate the Hodder Mudstone as a potential

reservoir, an understanding of the mineralogical variability was imperative. More widely,

the understanding of diagenesis in mudstones still lags behind that of sandstones due to

the inherently small grain sizes of the former. Additionally, a significant broader question

regarding the origin and control on quartz authigenesis in mudstones was also addressed

in this study.

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The elemental, mineralogical and organic matter distribution within the Hodder

Mudstones suggest a mix of primary sedimentary constituents. The most obvious finding

to emerge from this study was the overlaps in biogeochemical and geochemical processes

that characterised the paragenetic sequence. These processes were controlled by the

distribution of primary terrigenous and biogenic-derived constituents which

consequently impacted mudstone textural properties.

Another significant and more economic finding of this study was that the Hodder

Mudstone was composed of >70% brittle material largely due to authigenic processes.

This makes the Hodder Mudstone a highly brittle formation and potentially adequate for

hydraulic fracturing (Section 2.7.1). More significantly is the volumetric dominance

(>90%) of authigenic quartz in the silica fraction from thin section studies of the Hodder

Formation. A hypothesis from this study posits that diagenetic silica precipitation was

sourced from the transformation of opaline silica and further contribution from silicate

mineral reactions (e.g. kaolinite-illite transformation) that released aqueous silica during

burial.

The evidence from this study suggests that the Hodder Mudstone is enriched with

authigenic minerals and offers a significantly brittle unconventional reservoir. Studied

lithologies within the Hodder mudstones contain on average 50% of calcite (Clay-rich

units: 35%, silt-rich units: 45%; Bioclastic sand-rich units: 68%) and 24% quartz (Clay-

rich units: 27%, silt-rich units: 26%, Bioclastic sand-rich units: 19%) suggesting a bulk

mineralogical composition of favourable brittleness.

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6.1.3 Study 3 (Chapter 5): Qualitative descriptions and quantitative analysis of

pores in the Hodder Mudstone

Following the understanding of facies and diagenesis of the studied formation, it was

crucial in evaluating the reservoir potential of the Hodder Mudstone to describe the pores

structure and quantitative attributes in Chapter 5. The final objective of this PhD research

was to characterise the pore structure, pore volume, surface area and roughness and pore

size distribution from representative facies of the Hodder Mudstone using nitrogen

adsorption data and SEM imaging. Drawing from preceding understanding of sample

mineralogy and diagenesis, it further explored the relationship between porosity

variability and mineral compositions.

This study clearly indicates that the types and shapes of pores recognised in the studied

samples were influenced and transformed by a combination of primary sedimentary

components and diagenetic mineral precipitation (Figure 6.1).

Based on quantitative mineralogical and pore data, pore attributes of samples were

observed to be influenced by variations in mineral compositions. Pore volume (PV) and

pore surface area (PSA) decrease with high carbonate content while pore diameter is

directly proportional to carbonate content. Comparatively as quartz fraction increases in

samples, PV and PSA increase (Section 5.2.3.2). This trend is also similar to phyllosilicate

content since PV and PSA increase with phyllosilicate weight fraction.

From this study, it seems that siliciclastic, silt-rich argillaceous samples offer higher

porosity than carbonate-rich samples. It is also evident that the calcareous samples

experienced significant calcite cementation and suffered pervasive pores occlusion. An

economic implication of these results is in the lateral prediction of porosity within the

hybrid Hodder Mudstone facies. When compared with a similar carbonate-rich hybrid

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facies as the Eagle Ford Formation, it shows the difference in pore distribution due to

variation in allochems. The Eagle Ford is Cretaceous in age and comprises of coccoliths

with preserved intraparticle pores. Coccoliths are chiefly disc-shaped (10 – 100 µm

diameter) low Mg-calcareous plates whereas the primary bioclastic components of the

Hodder Mudstone are mostly unstable aragonitc shells subject to dissolution and re-

precipitation. Thus, pervasive cementation of intraparticle pore in highly likely in Hodder

Mudstone facies than the Eagle Ford. Consequently, the porosity of the Hodder Mudstone

facies is much lower than the Eagle Ford.

Conclusion

In conclusion, this research has found that the diagenetic minerals and pore attributes of

the Hodder Mudstones are controlled by the variability in primary depositional

components. These components originate from a mixed proportion of terrigenous and

biogenic grains. Their relative abundance, control the nature of mineral cements and pore

occurrences. Diagenetic minerals make up the bulk of constituent minerals, and older

bioclastic sediments are more likely to be calcite-cemented due to high bioclastic content

while younger sediments exhibit abundant silica cementation.

The Hodder Mudstone upon assessment presents an adequate shale gas reservoir due to

the following findings:

Thickly (0.5 to 30 m) bedded and laterally extensive (>5 km) calcareous to

argillaceous facies with abundant natural fractures (Chapter 3)

Mixed Type II/III organic matter with an average present-day TOC value of 1.13

wt% (Chapter 4)

Thermal maturity between oil window (pyrolysis Tmax >440°C) to wet gas zone

(pyrolysis Tmax <465°C) (Chapter 4)

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A presence of rigid diagenetic quartz and carbonate grains over ductile clay

minerals to enhance brittleness (Chapter 4)

Adequate porosity of 3.6 to 6.8% hosted by intra- and inter-particle pores

(Chapter 5)

Facies Thickness (>0.5m)

TOC (>1.13)

Porosity (>3.6%)

Brittleness Lateral extent (>5 km)

Reservoir quality

F1 Poor

F2 Good

F3 ? Poor

F4 Good

F5 ? ?Good

F6 - ? Inconclusive F7 - ? Inconclusive

Table 10: Unconventional reservoir assessment for prospectivity of the Hodder Mudstone facies.

Based on these findings, there is a high risk associated with investing in the Carboniferous

Hodder Mudstone play. Although basic requirements for reservoir assessment are met,

the concerns mostly involves its vertical and lateral facies variability. More widely in the

basinal scale, the Bowland Basin is structurally complex with faults and fractures which

may present a difficulty in the placement of hydraulic fractures.

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Figure 6.1: Summary diagram of Hodder Mudstone facies distribution and the correlative variation of reservoir properties. Bed thickness, porosity and TOC increases distally, while brittleness are more pronounced in proximal areas.

Recommendations for future work

A number of limitations were noted in the course of this study including several

methodological inadequacies. This research threw up possible research questions in need

of further investigation.

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6.3.1 Sediment provenance analysis

The studied sections for this research presented evidence of a mixed terrigenous and

carbonate sediment sources. This study utilised only 11 borehole cores located towards

the northwest margin of the basin and does not cover a vast majority of the Bowland

Basin. Questions remain regarding the relative impact of sediment gravity flows from the

eroding platform to the west and the adjacent footwall scarp to the east of the study area

during the Carboniferous. The provenance of the quartz arenite sandstone bed

interbedded within mudstone facies is equally enigmatic. A further study could sample

more borehole cores in the area and possibly seek access to seismic data within the study

area to understand the contribution of sediments from the potential sediment sources.

Collated data will further provide a high degree of stratigraphic control for a modified

depositional model. This has an implication in predicting and understanding

uncertainties in the lateral distribution of facies.

6.3.2 Clay mineral diagenesis

A significant source for silica cement is from clay mineral transformation reaction

(Bjørlykke 1998; Thyberg & Jahren 2011). Although not detected from whole rock XRD

analysis, fibrous illite was petrographically evident within a few of the studied samples

occurring with microcrystalline quartz (Section 4.4.7.3). The suggestion that authigenic

silica may have resulted from kaolinite-to-illite clay mineral reaction was rather

inconclusive as there was no quantitative clay mineral XRD data. However, based on

direct photographic evidence of microcrystalline sheetlike quartz, a product of silica

released from clay mineral transformation, this interpretation was inferred. More

information on clay mineral content and diagenesis in the Hodder Mudstone would help

to establish a greater degree of accuracy on the subject of silica diagenesis.

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6.3.3 Multi-scale high-resolution image-based pore characterisation

This study for the first time has provided data on pore distributions across the different

facies of the Hodder Mudstone. The research also recorded a failed attempt in resolving

pores in 3-dimension using the 3D micro-XCT technique (Figure 6.2). Additionally, the

absence of organic matter intra-particle pores within the Hodder Mudstone samples

needs to be validated. Further investigation and experimentation are strongly

recommended in exploring FIB-SEM and nano-XCT techniques for adequate

representation of pore distribution in the studied samples. Further research may focus

on integrating gas adsorption data and 3D imaging data for a multi-scale approach in

characterising the Hodder Mudstone pores. The findings from this study will have

practical implications in porosity evaluation and the resource estimation of the shale gas

play.

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Figure 6.2: 3D XCT image of rock volume (a) from a representative sample. Statistical grey-scale pixel filtering is utilized to segment identified minerals as confirmed from SEM images and EDS spectra; (b) shows carbonate mineral distribution caused by the presence of skeletal debris in a fine-grained muddy matrix. Fragments are mostly from crinoids, bivalves, brachiopods, gastropods, foraminifers and calcareous algae. Intraparticle pores may exist within carbonate grains. (c) shows pyrite distribution. Framboidal pyrite hosts inter-crystalline pores between microcrysts. (d) represents organic matter particles which are mostly secondary or migrated residual hydrocarbon and bitumen. Pores in the samples could not be resolved from this data.

PhD Thesis | 2019

350

References

Bjørlykke, K., 1998. Clay Mineral Diagenesis in Sedimentary Basins — A Key to the Prediction of Rock Properties. Examples from the North Sea Basin. Clay Minerals, 33(1), pp.15–34.

Gawthorpe, R.L., 1986. Sedimentation during carbonate ramp-to-slope evolution in a tectonically active area: Bowland Basin (Dinantian), northern England. Sedimentology, 33, pp.185–206.

Macquaker, J.H.S. et al., 2014. Compositional controls on early diagenetic pathways in fine-grained sedimentary rocks: Implications for predicting unconventional reservoir attributes of mudstones. AAPG Bulletin, 98(3), pp.587–603.

Milliken, K.L. et al., 2012. Grain assemblages and strong diagenetic overprinting in siliceous mudrocks, Barnett Shale (Mississippian), Fort Worth Basin, Texas. AAPG Bulletin, 96(8), pp.1553–1578.

Milliken, K.L. & Day-Stirrat, R.J., 2013. Cementation in mudrocks: Brief review with examples from cratonic basin mudrocks. AAPG Memoir, 103, pp.133–150.

Newport, S.M. et al., 2017. Sedimentology and microfacies of a mud-rich slope succession: in the Carboniferous Bowland Basin, NW England (UK). Journal of the Geological Society, London, (Gawthorpe 1987), p.16pp.

Stow, D.A. V & Mayall, M., 2000. Deep-water sedimentary systems: new models for the 21st century. Marine and Petroleum Geology, 17(2), pp.125–135.

Taylor, K.G. & Macquaker, J.H.S., 2014. Diagenetic alterations in a silt- and clay-rich mudstone succession: An example from the Upper Cretaceous Mancos Shale of Utah, USA. Clay Minerals, 49, pp.213–227.

Thyberg, B. & Jahren, J., 2011. Quartz cementation in mudstones: sheet-like quartz cement from clay mineral reactions during burial. Petroleum Geoscience, 17(1), pp.53–63.

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7 Appendix

Sample list and data acquired

Sample ID Hand specimen

description

Thin section

XRD XRF TOC Rock Eval

N2 gas adsorption

X-ray CT

MHD1/008.4 X X X

MHD1/010.6 X X X

MHD1/026.0 X X

MHD1/030.8 X X X X

MHD1/042.2 X

MHD1/050.1 X X

MHD1/060.3 X X X

MHD1/067.7 X

MHD1/068.8 X

MHD1/078.5 X X

MHD1/086.9 X X X X

MHD1/101.6 X X X

MHD1/115.1 X X X

MHD1/127.8 X

MHD1/137.9 X X X

MHD1/145.7 X

MHD1/151.5 X

MHD1/160.0 X X X

MHD2/031.7 X X X

MHD2/032 X X X

MHD2/038.1 X

MHD2/049.5 X X

MHD2/063.4 X X

MHD2/073.6 X

MHD2/089.3 X X X X

MHD2/101.9 X X

MHD2/108.5 X X

MHD2/119 X X X

MHD2/132.6 X X

MHD2/145.3 X X X

MHD2/165.4 X

MHD2/170.5 X

MHD2/180 X X X

MHD3/070.3 X X

MHD3/076.8 X X X

MHD3/088.4 X X

MHD3/100.2 X X X

MHD3/118.8 X X X X X

MHD3/124.9 X

MHD3/136.3 X X

MHD3/162.4 X X X

MHD3/179.8 X X X

PhD Thesis | 2019

352

MHD3/195.8 X X X

MHD3/203.6 X X

MHD3/214.3 X X X

MHD3/223.1 X X X

MHD3/230.1 X

MHD3/238.2 X X X X X

MHD4/069.2 X X X X X

MHD4/080.3 X X X X

MHD4/093.3 X X

MHD4/105 X X

MHD8/071.9 X X

MHD8/092.4 X X X

MHD8/100.2 X X

MHD8/115.2 X X X X

MHD8/132.4 X X

MHD8/154.6 X X X

MHD8/166.3 X X

MHD9/012.8 X X X

MHD9/035.6 X X

MHD9/047.5 X

MHD9/056.9 X X X

MHD9/064.2 X

MHD9/068.8 X X X

MHD9/086.9 X X X

MHD9/093 X

MHD9/096.1 X

MHD9/099.3 X X X

MHD9/120 X X

MHD11/086.4 X X X

MHD11/089.5 X X

MHD11/098 X X

MHD11/100.2 X X X X X

MHD11/106.2 X X

MHD11/111.4 X X X X

MHD11/114 X X X X

MHD11/148.9 X X

MHD11/164.3 X

MHD11/169.4 X X X

MHD11/177 X

MHD11/197.4 X

MHD11/200.1 X X X X X

MHD12/011.3 X X X

MHD12/014.9 X

MHD12/023 X X X

MHD12/028.1 X X X X

MHD12/036 X

MHD12/047.1 X X X

MHD12/056.4 X X

MHD12/066.6 X X X

MHD12/086.4 X X X

PhD Thesis | 2019

353

MHD12/103.3 X X X

MHD12/115.5 X X

MHD12/128.4 X

MHD12/140 X X

MHD13/067.4 X X X X X

MHD13/072.4 X X X X

MHD13/072.6 X X

MHD13/073.1 X X X X

MHD13/077.3 X X X

MHD13/077.7 X X X

MHD13/078.0 X X X

MHD13/078.6 X X X

MHD13/079.5 X X X

MHD13/081.1 X X X X

MHD13/082.6 X X X

MHD13/088.7 X X X X X X X

MHD13/090.4 X X X X X X X X

MHD13/091.6 X X X X X

MHD13/098.7 X X

MHD13/121.6 X X X X X X

MHD13/164.7 X X X

MHD13/174.8 X X X X X X

MHD13/228.6 X X X X X X X

MHD13/244.2 X X X X X

MHD13/261.5 X X X X

MHD13/262.2 X X X

MHD18/052.6 X X X

MHD18/078.78 X X

MHD18/090.18 X X

MHD18/109.5 X X X X X X

MHD18/134.9 X X

MHD18/139.5 X

MHD18/150.9 X X X

MHD18/159.26 X X X X

MHD18/172.7 X X X

MHD18/178.9 X X X

MHD18/180.3 X X

MHD18/185.8 X X X

MHD18/192.1 X X X X

MHD18/200.2 X X

PhD Thesis | 2019

354

Graphic logs

MHD1

PhD Thesis | 2019

355

MHD2

PhD Thesis | 2019

356

MHD3

PhD Thesis | 2019

357

MHD4

MHD5

PhD Thesis | 2019

358

MHD8

PhD Thesis | 2019

359

MHD9

PhD Thesis | 2019

360

MHD11

PhD Thesis | 2019

361

MHD12

PhD Thesis | 2019

362

MHD 13

PhD Thesis | 2019

363

MHD18

PhD Thesis | 2019

364

PhD Thesis | 2019

365

XRD Diffractograms and Quantitative Data

MDH13 67.4

MDH13 67.4

PhD Thesis | 2019

366

MDH13 72.4

MDH13 72.4

PhD Thesis | 2019

367

MDH13 72.6

MDH13 72.6

PhD Thesis | 2019

368

MDH13 73.1

MDH13 73.1

PhD Thesis | 2019

369

MDH13 77.3

MDH13 77.3

PhD Thesis | 2019

370

MDH13 78

MDH13 78

PhD Thesis | 2019

371

MDH13 78.6

MDH13 78.6

PhD Thesis | 2019

372

MDH13 79.5

MDH13 79.5

PhD Thesis | 2019

373

MDH13 81.1

MDH13 81.1

PhD Thesis | 2019

374

MDH13 82.6

MDH13 82.6

PhD Thesis | 2019

375

MDH13 88.7

MDH13 88.7

PhD Thesis | 2019

376

MDH13 90.4

MDH13 90.4

PhD Thesis | 2019

377

MDH13 91.6

MDH13 91.6

PhD Thesis | 2019

378

MDH13 121.6

MDH13 121.6

PhD Thesis | 2019

379

MDH13 164.7

MDH13 164.7

PhD Thesis | 2019

380

MDH13 174.8

MDH13 174.8

PhD Thesis | 2019

381

MDH13 228.6

MDH13 228.6

PhD Thesis | 2019

382

MDH13 244.2

MDH13 244.2

PhD Thesis | 2019

383

MDH13 261.8

MDH13 261.8

PhD Thesis | 2019

384

MHD1 137.9

MHD1 137.9

PhD Thesis | 2019

385

MHD1 60.3

MHD1 60.3

PhD Thesis | 2019

386

MHD1 30.4

MHD1 30.4

PhD Thesis | 2019

387

MHD1 160.0

MHD1 160.0

PhD Thesis | 2019

388

MHD1 115.1

MHD 115.1

PhD Thesis | 2019

389

MHD1 86.9

MHD1 86.9

PhD Thesis | 2019

390

MHD1 8.4

MHD1 8.4

PhD Thesis | 2019

391

MHD1 8.4

MHD2 31.7

PhD Thesis | 2019

392

MHD2 31.7

MHD2 180.0

PhD Thesis | 2019

393

MHD2 180.0

MHD1 145.3

PhD Thesis | 2019

394

MHD1 145.3

MHD3 223.1

PhD Thesis | 2019

395

MHD3 223.1

MHD3 162.4

PhD Thesis | 2019

396

MHD3 162.4

MHD3 118.8

PhD Thesis | 2019

397

MHD3 118.8

MHD3 195.6

PhD Thesis | 2019

398

MHD3 195.6

MHD4 69.2

PhD Thesis | 2019

399

MHD4 69.2

MHD3 076.8

PhD Thesis | 2019

400

MHD3 076.8

MHD4 080.3

PhD Thesis | 2019

401

MHD4 080.3

MHD9 068.8

PhD Thesis | 2019

402

MHD9 068.8

MHD 8 154.6

PhD Thesis | 2019

403

MHD 8 154.6

MHD 8 115.2

PhD Thesis | 2019

404

MHD8 115.2

MHD8 092.4

PhD Thesis | 2019

405

MHD8 092.4

MHD9 086.9

PhD Thesis | 2019

406

MHD9 086.9

MHD9 056.9

PhD Thesis | 2019

407

MHD9 056.9

MHD11 086.4

PhD Thesis | 2019

408

MHD11 086.4

MHD11 100.2

PhD Thesis | 2019

409

MHD11 100.2

MHD11 114.0

PhD Thesis | 2019

410

MHD11 114.0

MHD11 169.4

PhD Thesis | 2019

411

MHD11 169.4

MHD1 10.6

PhD Thesis | 2019

412

MHD1 10.6

MHD1 26.0

PhD Thesis | 2019

413

MHD1 26.0

MHD1 101.6

PhD Thesis | 2019

414

MHD1 101.6

MHD2 32.0

PhD Thesis | 2019

415

MHD2 32.0

MHD2 89.3

PhD Thesis | 2019

416

MHD2 89.3

MHD2 49.5

PhD Thesis | 2019

417

MHD2 49.5

MHD2 119.2

PhD Thesis | 2019

418

MHD2 119.2

MHD3 100.3

PhD Thesis | 2019

419

MHD3 100.3

MHD3 203.6

PhD Thesis | 2019

420

MHD3 203.6

MHD3 214.3

PhD Thesis | 2019

421

MHD3 214.3

PhD Thesis | 2019

422

MHD3 138.2

MHD3 138.2

PhD Thesis | 2019

423

MHD9 99.3

MHD9 99.3

PhD Thesis | 2019

424

MHD9 12.8

MHD9 12.8

PhD Thesis | 2019

425

MHD11 200.1

MHD11 200.1

PhD Thesis | 2019

426

MHD11 111.4

MHD11 111.4

PhD Thesis | 2019

427

MHD12 11.3

MHD12 11.3

PhD Thesis | 2019

428

MHD12 23.0

MHD12 23.0

PhD Thesis | 2019

429

MHD12 47.1

MHD12 47.1

PhD Thesis | 2019

430

MHD12 28.1

MHD12 28.1

PhD Thesis | 2019

431

MHD12 56.4

MHD12 56.4

PhD Thesis | 2019

432

MHD12 66.6

MHD12 66.6

PhD Thesis | 2019

433

MHD12 103.3

MHD12 103.3

PhD Thesis | 2019

434

MHD12 86.4

MHD12 86.4

PhD Thesis | 2019

435

MHD13 98.9

MHD13 98.9

PhD Thesis | 2019

436

MHD18 52.6

MHD18 52.6

PhD Thesis | 2019

437

MHD18 150.9

MHD18 150.9

PhD Thesis | 2019

438

MHD18 109.5

MHD18 109.5

PhD Thesis | 2019

439

MHD18 178.9

MHD18 178.9

PhD Thesis | 2019

440

MHD18 172_7

MHD18 172_7

PhD Thesis | 2019

441

MHD18 192_1

MHD18 185_8

PhD Thesis | 2019

442

MHD18 185_8

PhD Thesis | 2019

443

Sample ID Calcite Dol. Qrtz Musc Feld Kao Chlor Sid Ank Pyrt Mar Fluo Gyps Mont TOC

MHD1/10.6 3.762 0 83.21 3.851 3.319 0 0.664 0 5.059 0.135 0 0 0 0

MHD1/101.6 59.091 0 33.182 5.966 0 0 0 0 0.406 1.355 0 0 0 0 0.94

MHD1/115.1 67.063 0 27.464 4.081 0 0 0 0 0.216 1.176 0 0 0 0

MHD1/137.9 68.817 3.013 22.962 1.127 0 0 0.904 0 0 1.439 1.738 0 0 0

MHD1/160.0 71.228 13.206 12.787 2.129 0 0 0 0 0 0.65 0 0 0 0

MHD1/26.0 60.549 0 18.689 15.107 0 0 0 0 2.438 2.794 0 0 0.423 0

MHD1/30.8 38.682 0 30.029 24.664 0 2.561 1.631 0 0.065 2.368 0 0 0 0 1.17

MHD1/60.3 45.902 0 32.993 15.971 0 0 3.421 0 0 1.713 0 0 0 0

MHD1/8.4 84.046 0 6.237 3.624 0 0 0 0 5.407 0.686 0 0 0 0

MHD1/86.9 25.924 0 34.856 25.84 0 7.755 0 0.221 3.781 1.623 0 0 0 0 0.75

MHD11/100.2 10.902 0 29.804 40.155 4.96 10.101 0.506 0 0.061 3.511 0 0 0 0 1.87

MHD11/111.4 23.279 0 19.347 32.773 0 7.544 1.611 9.695 4.793 0.958 0 0 0 0 0.8

MHD11/114 13.319 0 28.755 44.149 4.847 1.203 0 0 7.166 0.561 0 0 0 0 0.86

MHD11/169.4 82.397 0 15.111 0.884 0 0 0 0 1.096 0.512 0 0 0 0

MHD11/200.1 37.567 0 36.629 26.783 0 3.073 0 0 3.521 2.427 0 0 0 0 1.1

MHD11/86.4 82.44 0 7.035 3.004 0 0 0 0 7.521 0 0 0 0 0

MHD12/103.3 80.519 3.573 12.973 1.939 0 0 0 0 0 0.996 0 0 0 0

MHD12/11.3 83.483 0 9.323 6.725 0 0 0 0 0 0.469 0 0 0 0

MHD12/23 81.53 0 13.295 1.428 0 0 0 0 3.361 0.386 0 0 0 0

MHD12/28.1 95.384 4.616 0 0 0 0 0 0 0 0 0 0 0 0

MHD12/47.1 67.374 0 21.823 6.627 0 0 0 0 2.093 1.685 0 0 0 0.398

MHD12/56.4 92.919 0.941 6.14 0 0 0 0 0 0 0 0 0 0 0

MHD12/66.6 84.433 0 7.605 1.63 0 0 0 0 6.332 0 0 0 0 0

MHD12/86.4 74.613 0 23.824 1.563 0 0 0 0 0 0 0 0 0 0

MHD13/121.6 1.173 0 39.633 22.728 0 19.876 5.915 0 9.698 0.977 0 0 0 0 1.19

MHD13/164.7 48.638 0 34.51 1.636 0 0 0 0 14.608 0.608 0 0 0 0

MHD13/174.8 48.534 22.316 21.982 5.214 0 0 0 0 0 1.954 0 0 0 0 0.85

PhD Thesis | 2019

444

MHD13/228.8 28.16 0 29.185 16.796 0 15.134 5.836 0 0 4.889 0 0 0 0 3.15

MHD13/244.2 87.294 0 8.362 0.975 0 0 0 0 2.855 0.514 0 0 0 0

MHD13/261.5 59.395 9.938 23.055 5.692 0 0.901 0 0 0 1.019 0 0 0 0

MHD13/67.4 44.626 0 28.116 10.816 6.846 2.544 0 0 2.566 4.486 0 0 0 0 0.66

MHD13/72.4 17.333 0 46.747 21.657 0 8.072 0 0 2.185 4.006 0 0 0 0 2.1

MHD13/72.6 23.324 0 36.327 19.962 0 6.619 0 0 11.354 2.414 0 0 0 0

MHD13/73.1 13.784 0 47.208 21.756 0 10.988 0 0 2.862 3.402 0 0 0 0 1.38

MHD13/77.3 9.552 0 46.777 30.887 0 6.437 0 0 0.081 6.266 0 0 0 0 2.15

MHD13/77.7 19.619 0 41.686 29.103 0 2.766 0 0 2.671 4.155 0 0 0 0

MHD13/78 38.513 0 32.023 12.941 0 1.95 0 0 11.413 3.16 0 0 0 0

MHD13/78.6 0 0 24.567 18.472 0 0 0 0 54.087 2.874 0 0 0 0

MHD13/79.5 37.609 0 42.927 10.008 0 0 0 0 2.857 5.464 0 1.135 0 0

MHD13/81.1 25.577 0 1.857 0 0 0 0 37.261 30.179 3.544 0 1.582 0 0

MHD13/82.6 22.756 0 35.656 27.691 0 0 7.672 0 1.994 3.928 0 0.303 0 0

MHD13/88.7 57.194 0 18.76 18.782 0 0 0 0 4.936 0.328 0 0 0 0 0.6

MHD13/90.4 2.652 0 47.854 35.177 0 0 10.562 0 1.194 2.561 0 0 0 0 0.92

MHD13/91.6 80.55 0 9.679 6.179 0 0 2.262 0 0.344 0.986 0 0 0 0

MHD18/109.5 25.048 0 28.003 32.067 5.949 5.722 0.612 0 0.275 2.324 0 0 0 0 2.14

MHD18/150.9 74.525 0 9.963 6.386 0 0.116 0 0 5.567 2.817 0 0 0.626 0

MHD18/172.7 9.083 0 24.077 36.597 7.263 10.27 2.04 0 8.134 2.536 0 0 0 0 0.98

MHD18/178.9 31.032 0 12.933 33.348 0 4.154 0.799 0 16.917 0.817 0 0 0 0

MHD18/185.8 2.818 0 27.726 43.66 5.947 9.993 0.825 0 8.287 0.744 0 0 0 0 0.85

MHD18/192.1 24.653 0 16.954 22.652 0 3.675 0 0 26.517 5.549 0 0 0 0 0.42

MHD18/52.6 80.026 0 6.138 5.929 0 1.211 1.233 0 5.221 0.242 0 0 0 0

MHD2/119 50.208 0 14.268 16.865 0 0 1.341 0 12.915 4.403 0 0 0 0

MHD2/145.3 85.245 0 10.385 2.629 0 0 0 0 0.28 0.804 0.657 0 0 0

MHD2/180.0 58.318 0 19.54 18.552 0 1.71 0 0 0.061 1.819 0 0 0 0

MHD2/31.7 63.885 0 17.094 14.1 0 1.658 0 0 3.263 0 0 0 0 0

MHD2/32 53.87 0 19.734 21.603 0 0 1.696 0 2.692 0.405 0 0 0 0 0.27

PhD Thesis | 2019

445

MHD2/49.5 94.4 0 3.294 0 0 0 0 0 0.984 1.322 0 0 0 0

MHD2/89.3 22.103 0 24.081 25.644 8.016 8.578 2.896 0 6.844 1.838 0 0 0 0 0.83

MHD3/100.2 45.749 0 32.523 16.773 0 0 1.501 0 0.891 2.563 0 0 0 0

MHD3/118.8 40.152 0 35.392 18.848 0 0 1.842 0 1.116 2.65 0 0 0 0 1.39

MHD3/162.4 61.453 0 13.493 20.407 0 0 2.939 0 0.989 0.719 0 0 0 0

MHD3/203.6 93.328 0 4.741 1.669 0 0 0 0 0.008 0.254 0 0 0 0

MHD3/214.3 94.141 0 1.518 0 0 0 0 0 0 4.341 0 0 0 0

MHD3/223.1 77.618 0 18.713 2.582 0 0 0 0 0.385 0.702 0 0 0 0

MHD3/238.2 37.661 0 39.117 20.574 0 0 0 0 0.499 1.515 0.634 0 0 0 0.58

MHD3/76.8 68.427 0 11.548 12.457 0 1.568 0 0 4.884 1.116 0 0 0 0

MHD4/69.2 42.028 0 25.68 19.801 0 0.815 1.924 0 5.925 3.827 0 0 0 0 1.56

MHD4/80.30 27.573 0 21.382 38.732 0 5.224 3.244 0 2.944 0.901 0 0 0 0 0.88

MHD8/115.2 11.564 0 25.656 40.015 6.608 8.847 0.26 0 7.05 0 0 0 0 0 0.99

MHD8/92.4 19.696 0 40.203 21.189 0 7.502 1.268 0 8.413 1.729 0 0 0 0

MHD9/12.8 99.443 0.557 0 0 0 0 0 0 0 0 0 0 0 0

MHD9/56.9 93.736 0 4.448 1.497 0 0 0 0 0.015 0.304 0 0 0 0

MHD9/68.8 82.251 0 8.386 7.204 0 0 0 0 1.214 0.945 0 0 0 0

MHD9/86.9 68.408 0 29.655 1.691 0 0 0 0 0 0.246 0 0 0 0

MHD9/99.3 98.06 1.94 0 0 0 0 0 0 0 0 0 0 0 0

PhD Thesis | 2019

446

XRF Major elemental data

Sample ID Na2

O MgO

Al2O3

SiO2 P2O5

SO3 Cl K2O CaO TiO2

Cr MnO

Fe2O3

Co Ni Cu Zn Rb Sr Pb H2

O CO2

(%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%) (%)

(%)

MHD18/134.9

0.344

1.775

10.937

28.598

0.036

2.525

0.012

2.334

25.192

0.426

0.01

0.058

5.094

0.01

0.006

1.677

0.013

0.072

0.019

0.82

20.03

MHD13/91.6

0.182

1.42

8.169

19.181

0.06

3.054

0.036

1.646

33.641

0.311

0.008

0.081

4.511

0.009

0.011

0.742

0.009

0.079

0.01

0.64

26.2

MHD13/72.4

0.215

1.582

16.406

48.492

0.056

1.902

0.013

4.058

8.064

0.561

0.016

0.032

4.038

0.006

0.013

0.006

0.036

0.023

0.046

0.017

2 12.26

MHD4/80.3

0.383

2.143

17.843

39.519

0.109

1.01

0.009

3.622

12.946

0.729

0.014

0.044

4.649

0.006

0.011

0.003

0.005

0.021

0.065

1.52

15.19

MHD11/148.9

0.045

0.473

2.55 21.894

0.027

1.064

0.03

0.339

40.187

0.094

0.004

0.108

1.484

0.006

0.004

0.005

0.043

0.023

0.12

31.5

MHD12/47.1

0.977

8.783

26.492

0.116

1.391

0.015

1.542

30.397

0.316

0.008

0.061

2.106

0.008

0.004

0.042

0.009

0.036

0.004

0.54

26.89

MHD1/86.9

0.09

1.02

16.04

40.226

0.113

1.27

0.008

3.241

15.207

0.75

0.015

0.09

4.305

0.005

0.009

0.005

0.003

0.018

0.048

0.007

0.71

16.67

MHD11/100.2

0.361

1.531

20.501

46.828

0.082

2.501

0.017

3.798

5.66 0.783

0.027

0.026

5.083

0.007

0.017

0.006

0.012

0.023

0.044

0.011

1.77

10.76

MHD13/88.7

0.218

1.357

10.868

26.769

0.161

4.918

0.021

2.612

29.048

0.422

0.013

0.088

8.846

0.013

0.008

0.005

0.02

0.014

0.069

0.011

0.6 13.85

MHD11/114.0

0.429

1.618

20.162

43.428

0.107

0.635

0.011

3.474

7.865

0.83

0.018

0.053

5.838

0.007

0.01

0.004

0.011

0.018

0.035

1.03

14.28

MHD1/160.0

1.485

2.395

14.431

0.014

0.742

0.024

0.355

42.159

0.079

0.056

0.982

0.006

0.002

0.253

0.044

0.005

0.13

36.63

MHD18/90.2

0.479

2.13

20.04

42.224

0.098

1.223

0.014

3.147

9.402

0.77

0.014

0.04

6.302

0.009

0.013

0.006

0.009

0.018

0.042

0.006

1.26

12.66

MHD4/69.2

0.256

1.639

11.283

30.365

0.229

3.159

0.013

1.999

22.394

0.473

0.013

0.049

6.035

0.007

0.01

0.004

0.011

0.01

0.06

0.012

0.7 21.16

MHD13/121.6

0.364

1.368

23.594

48.039

0.115

0.596

0.009

4.302

3.626

0.914

0.02

0.04

4.317

0.006

0.009

0.003

0.015

0.025

0.034

1.16

11.27

MHD3/100.2

0.335

1.558

9.396

30.78

0.057

1.047

0.018

2.152

25.183

0.394

0.01

0.068

4.301

0.008

0.01

0.004

0.007

0.01

0.056

0.017

0.59

23.99

PhD Thesis | 2019

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MHD18/192.1

0.31

2.179

13.209

28.236

0.106

4.938

0.018

2.556

20.347

0.467

0.009

0.143

10.623

0.016

0.016

0.006

0.008

0.012

0.045

0.014

0.65

16.01

MHD11/106.2

0.201

3.724

10.909

21.831

0.106

0.741

0.008

1.737

20.837

0.326

0.007

0.122

8.842

0.007

0.003

0.003

0.009

0.049

0.55

29.99

MHD13/228.6

0.111

0.861

18.914

36.875

0.05

4.049

0.018

3.252

15.618

0.813

0.016

0.096

4.194

0.008

0.01

0.006

0.027

0.019

0.026

0.015

0.91

13.95

MHD18/78.8

0.261

1.932

14.311

35.922

0.054

0.582

0.009

2.856

18.058

0.456

0.008

0.058

3.998

0.009

0.004

0.003

0.015

0.05

0.005

1.1 20.17

MHD1/30.8

0.109

0.914

14.317

38.635

0.067

2.049

0.011

2.913

18.532

0.636

0.012

0.06

3.036

0.006

0.008

0.003

0.018

0.015

0.043

0.01

0.75

17.63

MHD13/73.1

0.202

1.715

18.497

50.665

0.055

2.001

0.009

4.364

5.489

0.638

0.018

0.033

4.222

0.006

0.011

0.005

0.045

0.024

0.044

0.011

1.91

10.03

MHD1/60.3

0.074

0.646

9.222

37.552

0.068

1.621

0.017

1.733

24.128

0.409

0.01

0.07

1.971

0.006

0.008

0.005

0.05

0.009

0.043

0.009

0.55

21.65

MHD8/115.2

0.449

1.986

20.075

42.477

0.113

1.086

0.011

3.782

7.947

0.807

0.015

0.049

6.368

0.009

0.009

0.004

0.004

0.02

0.046

0.004

1.16

13.56

MHD9/56.9

0.054

0.581

2.199

6.751

0.026

0.334

0.024

0.497

49.388

0.085

0.05

0.615

0.005

0.002

0.004

0.002

0.025

0.18

39.17

MHD11/86.4

0.064

1.263

3.299

10.078

0.04

0.104

0.009

0.616

44.049

0.104

0.187

2.106

0.003

0.003

0.003

0.049

0.29

37.73

MHD8/71.9

0.094

0.954

6.431

14.711

1.776

1.373

0.012

1.197

38.274

0.235

0.008

0.065

2.51 0.003

0.01

0.07

0.007

0.101

0.008

0.31

31.61

MHD2/89.3

0.675

2.633

15.821

35.968

0.12

1.813

0.012

2.576

15.02

0.676

0.012

0.09

7.214

0.009

0.01

0.003

0.005

0.014

0.042

0.027

0.47

16.79

MHD3/223.1

0.074

0.626

2.992

17.175

0.031

0.878

0.031

0.559

42.254

0.1 0.091

1.12 0.003

0.002

0.004

0.043

0.015

0.17

33.83

MHD2/63.4

0.536

1.715

14.561

34.893

0.204

1.26

0.011

3.247

18.912

0.602

0.01

0.047

3.856

0.007

0.008

0.003

0.003

0.017

0.038

1.05

18.83

MHD3/136.3

0.724

2.816

16.385

39.185

0.101

1.21

0.012

2.988

13.543

0.776

0.015

0.048

6.132

0.009

0.007

0.003

0.006

0.016

0.036

0.003

1.14

14.77

MHD9/12.8

0.028

0.249

0.127

0.41 0.009

0.024

0.031

0.011

57.98

0.035

0.069

0.003

0.002

0.024

0.1 40.88

MHD2/31.7

0.175

1.496

8.318

23.966

0.102

0.334

0.01

1.593

31.415

0.339

0.009

0.175

3.224

0.006

0.004

0.003

0.009

0.076

0.57

28.15

MHD11/200.1

0.398

1.475

12.273

36.906

0.042

2.17

0.017

2.692

18.752

0.528

0.011

0.06

3.429

0.007

0.008

0.004

0.003

0.015

0.034

0.02

0.65

20.37

PhD Thesis | 2019

448

MHD1/115.1

0.06

0.69

4.194

26.02

0.04

1.343

0.022

0.94

34.285

0.183

0.005

0.045

1.426

0.005

0.002

0.015

0.006

0.036

0.007

0.22

30.34

MHD1/137.9

0.034

0.639

1.88 21.262

0.05

2.771

0.02

0.326

38.592

0.07

0.073

3.113

0.005

0.004

0.008

0.002

0.032

0.007

0.13

30.98

MHD12/86.4

0.049

0.448

1.364

21.097

0.046

0.102

0.023

0.232

42.606

0.052

0.031

0.535

0.003

0.012

0.052

0.2 33.09

MHD11/89.5

0.154

3.294

13.178

29.022

0.055

0.483

2.016

17.698

0.386

0.01

0.108

6.374

0.005

0.007

0.003

0.005

0.01

0.042

0.82

26.32

MHD3/76.8

0.163

1.432

7.388

18.882

0.068

0.92

0.01

1.383

34.858

0.275

0.007

0.112

2.676

0.008

0.003

0.007

0.068

0.36

31.38

MHD9/68.8

0.09

1.093

4.852

13.963

0.031

0.965

0.013

1.066

41.275

0.169

0.005

0.083

1.778

0.006

0.003

0.01

0.005

0.049

0.39

34.15

MHD4/105.0

0.021

0.48

0.311

6.608

0.015

0.172

0.015

0.03

56.446

0.102

0.364

0.006

0.004

0.033

0.067

0.014

0.06

35.23

MHD18/109.5

0.582

1.87

15.785

41.564

0.059

1.998

0.016

3.177

12.49

0.582

0.021

0.047

4.81 0.014

0.006

0.018

0.017

0.04

0.011

1.09

15.67

MHD12/103.3

0.119

0.873

2.291

13.869

0.041

0.975

0.027

0.467

44.645

0.091

0.088

1.797

0.005

0.004

0.002

0.003

0.102

0.17

34.43

MHD2/101.9

0.691

2.769

20.994

45.532

0.111

0.597

0.01

4.442

5.192

0.865

0.019

0.042

6.852

0.009

0.01

0.005

0.075

0.026

0.041

1.24

10.39

MHD9/86.9

0.033

0.459

1.265

17.158

0.018

0.425

0.016

0.286

48.758

0.047

0.075

0.83 0.004

0.003

0.011

0.063

0.13

30.36

MHD8/154.6

0.095

1.101

11.65

36.816

0.055

1.996

0.028

2.481

20.264

0.465

0.011

0.069

3.269

0.005

0.008

0.003

0.014

0.013

0.037

0.005

0.79

20.68

MHD12/11.3

0.041

0.454

4.301

12.26

0.106

0.368

0.019

0.836

44.586

0.158

0.004

0.094

0.703

0.003

0.005

0.001

0.005

0.027

0.24

35.62

MHD12/140.0

0.04

0.434

1.852

13.191

0.029

0.612

0.018

0.345

46.503

0.078

0.076

0.707

0.005

0.008

0.002

0.051

0.16

35.89

MHD3/162.4

0.392

1.969

10.316

25.633

0.047

0.751

0.012

2.167

27.792

0.383

0.008

0.034

2.9 0.007

0.004

0.009

0.01

0.061

0 0.56

26.81

MHD13/261.5

0.135

1.002

17.967

41.909

0.081

2.416

0.016

3.696

12.556

0.725

0.014

0.041

2.762

0.008

0.004

0.002

0.017

0.023

0.008

0.67

15.68

MHD13/90.4

0.418

1.527

22.242

45.534

0.108

1.057

0.011

4.192

5.545

0.878

0.02

0.035

4.149

0.007

0.002

0.007

0.022

0.029

0.004

1.16

12.9

MHD12/66.6

0.031

1.291

1.654

8.963

0.045

0.329

0.015

0.293

47.331

0.059

0.156

0.922

0.005

0.006

0.069

0.23

38.59

PhD Thesis | 2019

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MHD12/28.1

0.023

0.415

0.987

3.931

0.013

0.115

0.011

0.136

53.333

0.026

0.066

0.288

0.004

0.005

0.012

0.108

0.1 40.42

MHD8/92.4

0.074

1.339

17.554

41.882

0.136

1.19

0.011

2.364

11.443

0.588

0.012

0.157

4.125

0.007

0.011

0.042

0.012

0.029

0.009

0.85

18

MHD2/180.0

0.135

0.792

10.124

26.515

0.063

1.771

0.018

2.145

28.228

0.424

0.009

0.048

2.47 0.003

0.007

0.003

0.013

0.036

0.01

0.38

26.61

MHD1/8.4 1.225

2.295

8.041

0.041

0.639

0.023

0.475

46.559

0.079

0.176

1.455

0.004

0.033

0.003

0.032

0.011

0.17

38.73

MHD13/174.8

1.97

7.522

21.194

0.022

1.858

0.02

0.965

30.9 0.275

0.005

0.235

2.724

0.005

0.006

0.004

0.087

0.005

0.025

0.072

0.27

31.72

MHD13/244.2

0.775

9.19 18.864

0.103

1.547

0.035

0.656

33.756

0.354

0.009

0.4 3.888

0.006

0.006

0.003

0.15

0.004

0.038

0.021

0.28

29.91

MHD18/178.9

0.397

2.487

14.94

29.086

0.094

0.706

0.012

3.351

18.716

0.573

0.009

0.119

5.921

0.011

0.007

0.003

0.022

0.017

0.035

0.003

0.76

22.71

MHD11/169.4

0.058

0.564

1.275

12.381

0.026

0.444

0.051

0.189

46.04

0.063

0.004

0.071

0.718

0.006

0.007

0.042

0.16

37.9

MHD18/150.9

0.237

1.596

4.526

12.431

0.049

2.674

0.026

0.794

40.082

0.193

0.006

0.108

4.82 0.007

0.01

0.004

0.004

0.103

0.007

0.32

31.99

MHD18/52.6

0.075

1.125

4.75 10.735

0.032

0.325

0.017

0.832

42.788

0.164

0.21

2.955

0.005

0.007

0.004

0.002

0.004

0.059

0.24

35.67

MHD3/195.8

0.2 6.784

6.373

14.552

0.068

0.334

0.033

1.081

23.204

0.207

0.006

0.241

12.004

0.004

0.002

0.006

0.027

0.23

34.56

MHD2/132.6

0.487

2.205

16.14

34.637

0.118

2.555

0.012

3.112

13.487

0.655

0.013

0.132

7.417

0.009

0.009

0.004

0.002

0.014

0.019

0.006

0.61

18.32

MHD3/118.8

0.389

1.373

8.963

41.267

0.04

2.313

0.015

1.737

19.447

0.3 0.007

0.049

3.947

0.007

0.014

0.005

0.015

0.009

0.052

0.025

0.63

19.38

MHD13/67.4

0.196

0 8.742

23.383

0.039

3.559

0.032

1.674

30.25

0.333

0.007

0.06

4.544

0.008

0.003

0.007

0.009

0.045

0.009

0.54

26.52

MHD2/145.3

0.065

0.545

2.86 12.842

0.085

1.313

0.017

0.654

44.14

0.108

0.09

1.962

0.004

0.003

0.007

0.003

0.047

0.16

35.08

MHD3/238.2

0.204

1.026

13.147

53.162

0.066

2.455

0.021

3.43

10.471

0.538

0.011

0.073

3.301

0.006

0.011

0.004

0.007

0.018

0.02

0.021

0.94

10.75

PhD Thesis | 2019

450

Carbonate Pore Systems of the Carboniferous Hodder Mudstone

Formation, Bowland Basin, UK*

Timothy M. Ohiara1, Kevin G. Taylor2, and Patrick J. Dowey2

Search and Discovery Article #51399 (2017)** Posted August 7, 2017

*Adapted from poster presentation given at AAPG 2017 Annual Convention and Exhibition, Houston, Texas, April 2-5, 2017 **Datapages © 2017 Serial rights given by author. For all other rights contact author directly.

1School of Earth and Environmental Science, The University of Manchester, Manchester, United Kingdom ([email protected])

2School of Earth and Environmental Science, The University of Manchester, Manchester, United Kingdom

Abstract

Pores in shales or mudstones are mostly submillimetre-scale pores hosted in and around inorganic constituents and in mature organic matter residues. Micrometre– and nanometer– scale pores between and within particles of carbonate-rich sequences are strongly influenced by carbonate mineral diagenesis. The Lower Carboniferous Hodder Mudstone Formation in the Bowland Basin is a potential UK shale-gas play and provides an opportunity to understand the compositional controls on porosity in an organic- and carbonate-rich mudstone. This is achieved through the characterisation of pore types and mineral components from a suite of wells along the northern margin of the Bowland Basin. The work utilises petrographic, XRD, X-ray CT, and N2 gas-adsorption techniques.

Samples were divided into nine lithofacies which provided a framework to establish compositions, textures, pore types, and depositional environments. Lithofacies were then grouped into associations: (A1) clay-rich mudstones – >50 % clay-sized particles; (A2) – calcareous siltrich mudstones, and (A3) Skeletal calcareous mudstones. A1 (~40% of samples) exhibited rare planar to convolute laminae, but were mostly unlaminated. A2 (~30 % of samples) were largely unlaminated, but where A2 lithofacies grade into A1 they formed discontinuous ripple laminations. A3 (~30 % of samples) exhibited ripple laminations except for the rare occurrences of storm-brecciated, crinoidal beds within mudstones. Within the cores, lithofacies fine upwards from coarse-grained bioclast-rich mudstones to medium grained silt-rich mudstones and then fine-grained organic-rich mudstones.

Pore types included interparticle, intercrystalline, and intraparticle forms. Macropores (>4mm) exhibited vuggy intercrystalline pore morphologies within veins localised in the calcisiltites; while micro- to nano-pores (<62.5μm) occurred within pyrite framboids (intraparticle), between clay minerals and grains (interparticle) and in organic matter particles. In the clay-rich mudstones, pores within pyrite framboids and clay minerals

PhD Thesis | 2019

451

were <300nm in diameter and comprised a large percentage of the pore volume. The skeletal calcareous mudstones exhibited <1μm sized-pores due to carbonate cementation and pore-filling kaolinite. Despite modifications made by early and late diagenesis, pore analysis show that porosity in the Hodder Mudstone is primarily controlled by compositional variation of detrital and biogenic grain.

Reference

Ohiara, T., Taylor, K. & Dowey, P., 2017. Complex Carbonate Pore Systems of the Carboniferous Hodder Mudstone Formation, Bowland Basin, UK. In AAPG Annual Convention and Exhibition. pp. 1–6.