south west hub carbon storage to change imagedmp.wa.gov.au/documents/petroleum/rec-oa-109d.pdf ·...
TRANSCRIPT
South West Hub
Carbon Storage
Presented byDominique Van Gent
Coordinator Carbon Storage
TO CHANGE IMAGERight click and select “Change
Picture…”
Overview
Location Technical Workflows Uncertainty Mapping
The project is supported through the Australian Commonwealth Government CCS Flagship Program through the Department of Industry, Innovation and Science (DOIIS); The West Australian State Government through theDepartment of Mines, Industry Regulation and Safety (DMIRS); The Australian National Low Emissions Coal R&D Program; and The local community in the south west of Western Australia.
Historical Context Modelling Results
LOCATION : Near Industrial Centres
In the heart of South West industry
Agricultural and lifestyle area
Project does not compete with potable water
Stratigraphy: Regional & in the Area of Interest (AOI)
Perth Basin
Eroded
Eroded
AOI
Unconformity
No basin resource conflict - absence of Yarragadee freshwater aquifer is critical to site selection
Yalgorup Member 800 meters thick
Wonnerup Member 1500metres thick
Lesueur Sandstone
Focus on Process
Assess & Select
Screen
Define
Execute
Operate
Close
M1
M2
M5
M6
Milestones
1) Begin site screening
2) Shortlist storage sites
3) Select site & engineering concept
4) Storage permit application
5) Initiate construction
6) Initiate CO2 injection
7) Qualify for site closure
8) Initiate decommisioning
Qualification Statements
1) Statement of storage feasibility
2) Certificate of fitness for storage
3) Certificate of fitness for closure
Permits issued by Regulator
EP – Exploration Permit
SP – CO2 Storage Permit
TOR – Transfer of Responsibility
EP1
SP2
M7
TOR
3
M3
M4
M8
DNV CO2QualStoreEU Directive 2009/31/EC and Australian Legislation have similar structures
South West Hub Project Concept
Primary Migration
and Immobilisation of CO2
No CO2 movement outside the
Yalgorup Member
WonnerupMember
YalgorupMember
• Storage Concept: Containment through residual trapping and dissolution− Injection at depth (2,500-3,000m) in
the ~1,500m thick Wonnerup Member− Secondary sealing potential through
thick heterogeneous paleosol and silt sequences in overlying Yalgorup Member
New Data Acquisition with Extensive Community Consultation
2011 2D Seismic
2012 GSWA Harvey-1
2013 3D Seismic
2015 DMP Harvey-2 DMP Harvey-3DMP Harvey-4
Extensive Core and Log Data/Analyses
Well Run Services
Harvey-21 Gamma-Resistivity-Dipole Sonic
2 Seismic VSP
Harvey-4
1 Gamma-Resistivity-Dipole Sonic-Neutron-Density
2 XRMI Image
1 Gamma-Resistivity-Dipole Sonic-Neutron-Density
2 XRMI Image
CSNG Compensated Spectral Gamma
3 MRIL Nuclear Magnetic Resonance
4 RDT Reservoir Description Tool
5 Seismic VSP
Harvey-3
1 Gamma-Resistivity-Sonic-Neutron-Density
2 Gamma-Resistivity-Sonic-Neutron-Density
1 Gamma-Resistivity-Sonic-Neutron-Density
2 HSFT Formation Tester
3 Seismic VSP
> 2km of Core obtainedClays preserved
Routine Core Analysis (RCA)• Grain volume and grain density• Porosity and Permeability• Permeability to brine• Threshold Pressure to Carbon Dioxide
Special Core Analysis (SCAL)• Flow studies• Mercury Injection Analysis• Geomechanical Analysis
Depositional Environment: Analogue
Two Fluvial Facies Used:
High and Low Energy
“Paleosols”
Brahmaputra, India
Episodic pulses of flow and sediment
Braided fluvial system
Decision Making: Modelling Considerations
Single well models to investigate whether greater than P50 level of confidence can be achieved • to inject >800,000 tonnes per annum over 30 years (average injectivity of 100,000 tonnes per
annum per well)• that no more than 10 wells in total would be required
A suite of full field simulation models which cover uncertainties and demonstrate plume profiles • injection at 800,000 tonnes per annum of CO2 over 30 years • over 1,000 years modelling for containment confidence evaluation that will enable a Go/No
Go decision on additional data acquisition• Well count to achieve the above
Multiple Scenarios: A number of models to be constructed to investigate the effects of the reservoir uncertainties and the location of the CO2 plume
Timeline Model Complexity Comments
Generation 1 (Gen 1) Models: 2010
100 layers, 1 million cells Initial Uncertainty Identification: Coarse screening model based on offset data from region
Generation 2 (Gen 2) Models: 2012
357 layers, 30 million cellsUncertainty Rationalisation based on new 2D seismic and data from well Harvey 1
Generation 3 (Gen 3) Models: 2016
1,100 layers, 214 million cells
Uncertainty Parameterisation based on new 3D seismic and new data from wells Harvey 2, 3 and 4.
Generation 4 (Gen 4) Models: 2018
(Just Completed)
1,100 layers, 256 million cells
Uncertainty Parameterisation based on reinterpreted 3D seismic and integration of all available data,
Dynamic Model 1.96 million cells 1.2 million active cells (containing formulae)
Four Generation of Models
With each iteration more data is acquired and uncertainties reduced
Static Model – Porosity Distribution
Reference Case: Plume Distributions
800,000 tonnes per annum injected for 30 years i.e. 24 million tonnes
Plume profile after 1000 years
Plume movement effectively stops within 500 years
mT
VD
ss
Axes are in metres
Axes are in metres
Plume is ~6.4km long and 3.2 km wide
Aerial
View
Side View
Looking South
Reference Case: Top View of Plume Movement
Axes are in metres
Reference Case: Looking South - Plume Movement
Axes are in metres
CO2 Material Balance (1000 Years After Shut-in)
Trapped Gas Mobile Free Gas
Total CO2
Dissolved Total CO2
(moles) (moles) (moles) (moles)
Gas Material Balance 3.54E+11 2.37E+08 2.13E+11 5.68E+11
% of Injected 62.4% 0.0% 37.5% 100.0%
Supercritical CO2
(Reference Case - Compositional Model)
Dynamic Modelling - Scenarios
Objective: To test under what conditions the success criteria can be breached
• Multiple Cases (Scenarios) Modelled
• Ranges of uncertainties considered
• Combination of uncertainties considered as “stress” cases
Case Case Name Geological Model Description
Reference 3Well Reference
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
1 3Well_NoPC Reference
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
No capillary pressures
SgT based on Land Correlation C=1.95
2 3Well_highkrg Reference
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
Krg=0.25
SgT based on Land Correlation C=1.95
3 3Well_bland Wonneup is homogeneous
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
4 3Well_Hiperm Permeability in I, J and K directions mulitipled by 1.4
800,000 tpa.
Faults not sealing
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
5 3Well_LowSgt Reference
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=3.2
6 3Well_HighSalt Reference
800,000 tpa.
Faults not sealing
Brine salinity=200000 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
7 3Well_highKv Kv=0.8*K Horizontal
800,000 tpa.
Faults not sealing
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
8 3Well_lowKv Kv=0.1*K Horizontal
800,000 tpa.
Faults not sealing
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.96
9 3Well_001Faults Fault Transmissibility * 0.01
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
10 3WELL_holey_wonnseal
Cells adjacent to faults have the vertical permeability
increased by 10 times. Wonnerup and Yalgorup in
communication through the faults.
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
11 3WELL_holey
Cells adjacent to faults have the vertical permeability
increased by 10 times. Communication between
Wonnerup and Yalgorup through faults and sand-on-sand
contact.
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
12 3WELL_holey_NoYal
Cells adjacent to faults have the vertical permeability
increased by 10 times. No communication between
Wonnerup and Yalgorup through faults or sand-on-sand
conact.
800,000 tpa.
Brine salinity=45600 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
13 3Well_holey_wonnseal_lowsol
Cells adjacent to faults have the vertical permeability
increased by 10 times. Wonnerup and Yalgorup in
communication through the faults.
800,000 tpa.
Brine salinity=200000 ppm (NaCl Equivalent)
SgT based on Land Correlation C=1.95
Plume remains inside storage complex in all modelled cases
Limited spread of plume compared to reference case: 6.5km X 3.5km
Only under few conditions does the plume enter the secondary containment zone
Recap : Current Context
Gen 3 Model results were positive and prompted additional interpretation work with existing data
Peer Reviewed Project UMP finalised in February 2017
• Uncertainties mapped
• Recommended workscope aimed at extracting the maximum information from all available data
Gen 4 workscope activities started in July 2017
• Completed and results Peer Reviewed June 2018
• UMP Updated and key aspects Reviewed
• Recommendations for New Data Acquisition
QA Process for Technical Assurance
Multiple Reviews
Industry experts• Chevron (Gorgon team), ENI, Independents (ex
Santos), Osaka Gas
• Other CCS Projects - CTSCo
Government experts• GA, GSWA
Research experts• CSIRO, UWA, Curtin University
• ANLEC R&D
• International: University of Alberta, Lawrence Berkeley National labs
Example: Detailed map of uncertainties in UMP
1 2 3 4 5
5
4
3
2
1
Range of Uncertainty
Imp
act
of
Un
cert
ain
ty
• Structure/Formation Dip
• Compartments
• Rock strength parameters (LOT)
• Yalgorup/Wonnerup Communication
• Formation Salinity
• Paleosol Efficacy
• Vertical Migration through Faults
Qualitative ranking but colour code. Not prioritised
Need for New Data
• Deep Reservoir Properties and Diagenesis• Heterogeneity ( Vertical and Horizontal)• Compartmentalisation
• Dynamic Reservoir Response• Vertical Versus Horizontal
migration of plume
• Dept. Environment Interpretation
• Facies Prediction Using 3D Seismic
• Fault Interpretation
UMP: Visualising the Key Uncertainties
“Gen1”
“Gen2”
“Gen3”
“Gen4”
MODEL
UMP: Visualising the Key Uncertainties over time
Hig
hLo
w
Imp
act
Leve
lM
id
1
2/3
4
4
4
1/4
Gen
1: S
LB –
Off
set
wel
l dat
a an
d 1
99
1 2
D s
eism
icG
en 2
: SLB
–H
arve
y 1
, 20
11
2D
G
en 3
: OD
IN –
3D
Sei
smic
(V
ELSE
IS)
Gen
4: O
DIN
–R
ep
roce
ssed
3D
Sei
smic
(C
UR
TIN
)
1/3
1/2 1
2
4
2
1
4
2
1
3/4
33/4
1/21/3
4 4
2
1
33
3
2
1
4
3
Rel
ativ
e p
erm
eab
ility
h
yste
resi
s
Salin
ity
CO
2
dis
solu
tio
n
rate
Ab
solu
te
per
mea
bili
ty
Het
ero
gen
eity
In
c. k
v/kh
Stru
ctu
ral d
ip
Seal
th
ickn
ess
and
ext
ent
Seal
cap
acit
y
Frac
ture
/fau
lt
Loca
tio
n/d
ensi
ty
Frac
ture
/fau
lt
flo
w p
ote
nti
al
Tab
le It
em N
o.
and
Par
amet
er
#4 #4&11 #11 #3 #3 #8 #8
BH
P
(Ro
ck S
tren
gth
)
Yalg
oru
p/W
on
C
on
nec
tivi
ty
2
1
3
4
1
2
3
4
South West Hub Project Concept: Containment in a Thick Reservoir
Primary Migration
and Immobilisation of CO2
No CO2 movement outside the
Yalgorup Member or above 800M
WonnerupMember
YalgorupMember
Storage Concept: Containmentthrough residual trapping and dissolution within Storage Complex
S800M
S
1500M
Why is the SW Hub Relevant?
In reservoirs such as the Lesueur, containment may be assured through residual trapping and dissolution
Confidence built over 4 generations of models (2010-2018) with increasing complexity and data• 4 wells, seismic and core data
Main Remaining Gaps To be Addressed: • Lack of information in the deep Wonnerup• Gap in understanding of exactly how the fluid will flow • Lack of dynamic reservoir (flow test) information in target injection
reservoir If proven , absence of a traditional shale cover should not prematurely
screen-out reservoirs for CO2 storage• SW Hub can widen the available sites for CCS consideration worldwide
Located in the heart of the S-W industrial belt proximal to multiple emissions sources
The Lesueur represents the best opportunity for CCS in the South West
The absence of the Yarragadee (potable water) is critical
In the South West
Thank You
www.dmp.wa.gov.au/ccs
www.dmp.wa.gov.au/wapims
www.ngl.org.au
www.anlecrd.com.au