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Module 8: Relative Permeability

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  • Module 8:Relative Permeability

  • Synopsis

    Page 2

    What is water-oil relative permeability and why does it matter? endpoints and curves, fractional flow, what curve shapes mean

    Understand the jargon (and impress reservoir engineers)

    Wettability water-wet, oil-wet and intermediate

    How do we measure it (in the lab)?

    How do we quality control and refine data?

  • Applications

    Page 3

    To predict movement of fluid in the reservoir e.g velocity of water and oil fronts

    To predict and bound ultimate recovery factor

    Application depends on reservoir type gas-oil

    water-oil

    gas-water

  • Definitions

    Page 4

    Absolute Permeability permeability at 100% saturation of single fluid

    e.g. brine permeability, gas permeability

    Effective Permeability permeability to one phase when 2 or more phases present

    e.g. ko(eff) at Swi

    Relative Permeability ratio of effective permeability to a base (often absolute)

    permeability e.g. ko/ka or ko/ko at Swi

  • Requirements

    Page 5

    Gas-Oil Relative Permeability (kg-ko) solution gas drive

    gas cap drive

    Water-Oil Relative Permeability(kw-ko) water injection

    Water - Gas Relative Permeability (kw-kg) aquifer influx into gas reservoir

    Gas-Water Relative Permeability (kg-kw) gas storage (gas re-injection into gas reservoir)

  • Jargon Buster!

    Page 6

    Relative permeability curves are known as rel perms

    Endpoints are the (4) points at the ends of the curves

    The displacing phase is always first, i.e.: kw-ko is water(w) displacing oil (o)

    kg-ko is gas (g) displacing oil (o)

    kg-kw is gas displacing water

  • Why shape is important

    Page 7

    Measure air permeability ka = 100 mD

    Saturate core in water (brine)

    Desaturate to Swir Swir = 0.20 (20% Centrifuge or porous plate

    Measure oil permeability ko @ Swir endpoint Ko = 80 mD

    Waterflood collect water volume Sro = 0.25 Swr = 1-0.25 = 0.75

    Measure water permeability kw @Sro endpoint Kw = 24 mD

    So = 1-Swir

    Swirr

    Oil = Sro

    Sw = 1-Sro

  • Endpoints

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    Swir = 0.20 Sro = 0.25

    Endpoint- oil

    kro = ko/ko @ Swir

    = 80/80

    = 1

    Endpoint - water

    krw = kw/ko @ Swir

    = 24/80

    = 0.30

    Page 8

  • Endpoints

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    Swir = 0.20 Sro = 0.25

    Page 9

  • Curves - 1

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    Swir = 0.20 Sro = 0.25

    Page 10

  • Curves - 2

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    Swir = 0.20 Sro = 0.25

    Page 11

  • Curves - 3

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    Swir = 0.20 Sro = 0.25

    Page 12

  • Relative Permeability

    Non-linear function of Swet

    Competing forces gravity forces

    minimised in lab tests

    e.g. water injected from bottom to top

    viscous forces Darcys Law

    capillary forces low flood rates

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    krokrw

    Page 13

  • Relative Permeability Curves Key Features

    Page 14

    Water-Oil Curves irreducible water saturation (Swir) endpoint

    kro = 1.0 krw = 0.0

    residual oil saturation (Sro) endpoint kro = 0.0 krw = maximum

    relative permeability curve shape Unsteady-state Buckley-Leverett, Welge, JBN

    Steady-state Darcy

    Corey exponents: No and Nw

  • Waterflood Interpretation

    Welge

    Page 15

    Average Saturationbehind flood front

    Sw at BT

    o

    w

    rw

    row

    kkf

    .1

    1

    +=

    fw only after BT

    1-SorSwc

    fw=1

    Sw

    Sw

    S fwf w Swf, |

    fw

  • Relative Permeability Interpretation

    Page 16

    Welge/Buckley-Leverett fraction flow gives ratio: kro/krw

    Decouple kro and krw from kro/krw JBN, Jones and Roszelle, etc

    w

    o

    ro

    rw

    kkM

    .=

    o

    w

    rw

    row

    kkf

    .1

    1

    +=

    M< 1: piston-like

    M > 1: unstable

  • JBN Method Outline

    Page 17

    Johnson, Bossler, Nauman (JBN) Based on Buckley-Leverett/Welge

    W = PV water injected

    Swa = average (plug) Sw

    fw2 = 1-fo2

    o

    w

    rw

    row

    kkf

    .1

    1

    +=

    2owa f

    dWdS =

    2

    2

    )1(

    )1(

    ro

    or

    kf

    Wd

    WId

    =it

    tr p

    pI==

    = 0 Injectivity Ratio

    Waterflood rate, q

  • Buckley Leverett Assumptions

    Page 18

    Fluids are immiscible

    Fluids are incompressible

    Flow is linear (1 Dimensional)

    Flow is uni-directional

    Porous medium is homogeneous

    Capillary effects are negligible

    Most are not met in most core floods

  • Capillary End Effect

    Page 19

    If viscous force large (high rate) Pc effects negligible

    If viscous force small (low rate) Pc effects dominate flood behaviour

    Leverett capillary boundary effects on short cores

    boundary effects negligible in reservoir

  • End Effect

    Pressure Trace for Flood zero p (no injection) start of injection water nears exit

    p increases abruptly until Sw(exit) = 1-Sro and Pc nears zero

    suppresses krw BT

    Sw(exit) = 1-Sro, Pc ~0 After BT

    rate of p increase reduces as krw increases

    Page 20

  • Scaling Coefficient

    Breakthrough Recovery

    (Rappaport & Leas)

    Affected by Pc end effects

    At lengths > 25 cm

    Little effect on BT recovery

    (LVw > 1)Hence composite samples

    or high rates

    Page 21

  • Capillary End Effects

    Page 22

    Rapaport and Leas Scaling Coefficient LVw > 1(cm2/min.cp) : minimal end effect

    Overcome by: flooding at high rate

    300 ml/hour +

    using longer cores difficult for reservoir core (limited by core geometry) butt several cores together

    using capillary mixing sections end-point saturations only in USS tests (weigh sample)

  • Composite Core Plug

    Capillary end effects adsorbed by Cores 1 and 4

    Page 23

  • Corey Exponents Water/Oil Systems

    Define relative permeability curve shapes

    Based on normalised saturations

    No guarantee that real rock curves obey Corey

    Page 24

    kro = SonNo krw = krw(Swn)Nw

    krw = end-point krw

    wnrowi

    rowon SSS

    SSS == 1

    11

    rowi

    wiwwn SS

    SSS =

    1

  • Normalisation

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    Water Saturation (-)

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    Sample 1Sample 2

    krw at Srokrwn = 1

    Swn = 1

    krwn = 1

    Page 25

  • Corey Exponents

    Depend on wettability

    Uses: interpolate & extrapolate data

    lab data quality control

    Wettability No (kro) Nw (krw)

    Water-Wet 2 to 4 5 to 8

    Intermediate Wet 3 to 6 3 to 5

    Oil-Wet 6 to 8 2 to 3

    Page 26

  • Gas-Oil Relative Permeability

    Test performed at Swir

    Gas is non wetting takes easiest flow path kro drops rapidly as Sg

    increases krg higher than krw Srog > Srow in lab tests

    end effects

    Srog < Srow in field

    Sgc ~ 2% - 6%

    Pore-Scale Saturation Distribution

    Page 27

  • Typical Gas-Oil Curves: Linear

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    Gas Saturation (fractional)

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    krokrg

    1-(Srog+Swi)

    Sgc

    Labs plot kr vs liquid saturation (So+Swi)Page 28

  • Typical Gas-Oil Curves: Semi-Log

    0.001

    0.01

    0.1

    1

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Gas Saturation (fractional)

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    krokrg

    1-(Srog+Swi)

    Page 29

  • Gas-Oil Curves

    Page 30

    Most lab data are artefacts due to capillary end effects

    Tests should be carried out on long cores

    insufficient flood period

    Real gas-oil curves Sgc ~ 3%

    Srog is low and approaches zero Due to thin film and gravity drainage

    krg = 1 at Srog = 0

    well defined Corey exponents

  • Gas-Oil Curves Corey Method

    NoSonkro =

    Page 31

    Oil relative permeability normalised oil saturation

    Gas relative permeability normalised gas saturation

    Sgc: critical gas saturation

    SrogSwirSrogSwirSgSon

    =1

    1

    SgcSrogSwirSgcSgSgn

    =1

    NgSgnkrg =

    Corey Exponent Values

    No 4 to 7

    Ng 1.3 to 3.0

  • Corey Gas-Oil Curves

    Page 32

    Swir 0.15kro 1.00krg' 1.00Srog 0.0000Sgc 0.0300

    0.00001

    0.0001

    0.001

    0.01

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    1

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    Gas Saturation (-)

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    Kro No = 4krg Ng = 1.3kro No = 7krg Ng = 3.0

    Sgc = 0.03

  • Typical Lab Data - krg

    0.00001

    0.0001

    0.001

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    1

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    Swi+Sg (fraction)

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    g Ng = 2.3; Swir = 0.15Ng = 2.3; Swir = 0.2011a-5 # 411a-5 # 3111a-5 # 3411a-5 #3911a-7 BEA511a-7 BEA711a-7 BEB511a-7 BEC5

    Composite Gas-Oil Curves

    Ng : 2.3No : 4.0Sgc: 0.03Srog: 0.10krg' : 1.0

    Krg too low

    Srog too high

    Page 33

  • Laboratory Methods

    Page 34

    Core Selection all significant reservoir flow units

    often constrained by preserved core availability

    core CT scanning to select plugs

    Core Size at least 25 cm long to overcome end effects

    butt samples (but several end effects?)

    flood at high rate to overcome end effects?

  • Test States

    Page 35

    Fresh or Preserved State tested as is (no cleaning) probably too oil wet (e.g OBM, long term storage) Native state term also used (defines bland mud) Some labs fresh state is other labs restored state

    Cleaned State Cleaned (soxhlet or miscible flush) water-wet by definition (but could be oil-wet!!!!!!)

    Restored State (reservoir-appropriate wettability) saturate in crude oil (live or dead) age in oil at P & T to restore native wettability

  • Test State

    Page 36

    Fresh-State Tests too oil wet data unreliable

    Cleaned-State Tests too water wet (or oil-wet) data unreliable

    Restored-State Tests native wettability restored data reliable (?) if GOR low can use dead crude ageing (cheaper) if GOR high must use live crude ageing (expensive) if wettability restored - use synthetic fluids at ambient ensure cores water-wet prior to restoration

    Compare methods - are there differences?

  • Irreducible Water Saturation (Swir)

    Page 37

    Swir essential for reliable waterflood data

    Dynamic displacement flood with viscous oil then test oil

    rapid and can get primary drainage rel perms

    Swir too high and can be non-uniform

    Centrifuge faster than others

    Swir can be non-uniform

    Porous Plate slow, grain loss, loss of capillary contact

    Swir uniform

  • Lab Variation in Swir (SPE28826)

    Page 38

    Lab A Lab B Lab C Lab D0

    5

    10

    15

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    25

    30

    S

    w

    i

    (

    %

    )

    Dynamic Displacement

    Porous Plate

    ???

    180 psi

    200 psi

  • Centrifuge Tests

    Page 39

    Displaced phase relative permeability only oil-displacing-brine : krw drainage brine-displacing-oil : kro imbibition assume no hysteresis for krw imbibition

    oil-wet or neutral wet rocks? Good for low kro data (near Sro)

    e.g. for gravity drainage Computer simulation used Problems

    uncontrolled imbibition at Swirr mobilisation of trapped oil sample fracturing

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  • Dynamic Displacement Tests

    Page 40

    Test Methods Waterflood (End-Points: ko at Swi, kw at Srow)

    Unsteady-State (relative permeability curves)

    Steady-State (relative permeability curves)

    Test Conditions fresh state

    cleaned state

    restored state

    ambient or reservoir conditions

  • Unsteady-State Waterflood

    Page 41

    Saturate in brine

    Desaturate to Swirr

    Oil permeability at Swirr (Darcy analysis)

    Waterflood (matched viscosity)

    Total Oil Recovery

    kw at Srow (Darcy analysis)

    labw

    o

    resw

    o

    =

  • Unsteady-State Relative Permeability

    Saturate in brine Desaturate to Swirr Oil permeability at Swirr (Darcy analysis) Waterflood (adverse viscosity)

    Incremental oil recovery measured kw at Srow (Darcy analysis) Relative permeability (JBN Analysis)

    o

    w lab

    o

    w res

    >>

    Page 42

  • Unsteady-State Procedures

    Page 43

    Water OilOnly oil produced

    Measure oil volume

    Just After Breakthrough

    Measure oil + water volumes

    Increasing Water Collected

    Continue until 99.x% water

  • Unsteady-State

    Rel perm calculations require fractional flow data at core outlet (JBN) pressure data versus water injected

    Labs use high oil/water viscosity ratio promote viscous fingering provide fractional flow data after BT allow calculation of rel perms

    Waterflood (matched viscosity ratio) little or no oil after BT little or no fractional flow (no rel perms) end points only

    Page 44

  • Effect of Adverse Viscosity Ratio

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    Water Saturation (-)

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    w

    o/w = 30:1Unstable flood front

    Early BT

    Prolonged 2 phase flow

    Oil recovery lower o/w = 3:1Stable flood front

    BT delayed

    Suppressed 2 phase flow

    Oil recovery higher

    Page 45

  • Unsteady-State Tests

    Page 46

    Only post BT data are used for rel perm calculations Sw range restricted if matched viscosities

    Advantages appropriate Buckley-Leverett shock-front

    reservoir flow rates possible

    fast and low throughput (fines)

    Disadvantages inlet and outlet boundary effects at lower rates

    complex interpretation

  • Steady-State Tests

    Page 47

    Intermediate relative permeability curves Saturate in brine

    Desaturate to Swir

    Oil permeability at Swir (Darcy analysis)

    Inject oil and water simultaneously in steps

    Determine So and Sw at steady state conditions

    kw at Srow (Darcy analysis)

    Relative Permeability (Darcy Analysis)

  • Steady-State Test Equipment

    Oil and water out

    p

    Coreholder

    Oil in

    Water in

    Mixing Sections

    Page 48

  • Steady-State Procedures

    Page 49

    Summary100% Oil: ko at SwirrRatio 1: ko & kw at Sw(1)

    Ratio 2:: ko & kw at Sw(2)

    .

    .

    Ratio n: ko & kw at Sw(n)

    100% Water: kw at Sro

  • Steady-State versus Unsteady-State

    Page 50

    Constant rate (SS) vs constant pressure (USS) fluids usually re-circulated

    Generally high flood rates (SS) end effects minimised, possible fines damage

    Easier analysis Darcy vs JBN

    Slower days versus hours

    Endpoints may not be representative Saturation Measurement

    gravimetric (volumetric often not reliable) NISM

  • Laboratory Tests

    Page 51

    You can choose from: matched or high oil-water viscosity ratio

    cleaned state, fresh state, restored-state tests

    ambient or reservoir condition

    high rate or low rate

    USS versus SS

    Laboratory variation expected McPhee and Arthur (SPE 28826)

    Compared 4 labs using identical test methods

  • Oil Recovery

    Lab A Lab B Lab C Lab D10

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    70O

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    Fixed - 120 ml/hour

    Preferred

    120

    Bump

    360

    120

    Page 52

  • Gas-Oil and Gas-Water Relative Permeability

    Page 53

    Unsteady-State adverse mobility ratio (g

  • Drainage Gas-Water Curves (steady-state)

    Steady-state test example

    Log-linear scale (very low krw)

    Krg > krw

    Gas saturation increases

    Krg increases to 1

    Krw reduces to close to zero

    Page 54

  • Water-Gas Relative Permeability

    Page 55

    Aquifer influx (imbibition)

    Drainage gas-water curves can be used but hysteresis expected for non-wetting phase (krg) curve

    no hysteresis for wetting phase (krw) curve drainage krw curve same shape as imbibition krw curve

    Imbibition tests require low rate imbibition waterflood kw-kg test

    capillary forces dominate

    CCI tests for residual gas saturation

    Hybrid test

  • Imbibition Tests

    Page 56

    Waterflood low rate waterflood from Swi to Sgr

    obtain krg and krw on imbibition

    Sgr too low (viscous force dominates)

    Counter-Current Imbibition Test Sgr dominated by capillary forces immerse sample in wetting phase (from Sgi) monitor sample weight during imbibition Determine Sgr from crossplot

    129.90 g129.90 g

  • CCI: Experimental Data

    Air-Toluene CCI: Plug 10706: Sgi = 88.8%

    Square Root Time (secs)

    G

    a

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    S

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    %

    )

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    60

    65

    70

    0 10 20 30 40 50 60

    Sgr = 33.5%

    Page 57

  • Trapped or Residual Gas Saturation

    Page 58

    Sgr vs Sgi North Sea

    Low rate waterflood

    Repeatability of CCI tests

  • Imbibition Kw-Kg

    Drainage

    Imbibition

    Swi

    krw

    Sw

    k

    r

    0 1

    1

    0

    krg

    1-Sgr

    krw@Sgr

    Page 59

  • Relative Permeability Controls

    Page 60

    Wettability

    Saturation History

    Rock Texture (pore size)

    Viscosity Ratio

    Flow Rate

  • Wettability

    Page 61

  • Wettability

    Page 62

  • Wettability

    Page 63

    Waterflood of Water-Wet Rock front moves at uniform rate oil displaced into larger pores and produced water moves along pore walls oil trapped at centre of large pores - snap-off BT delayed oil production essentially complete at BT

    Waterflood of Oil-Wet Rock water invades smaller pores earlier BT oil remains continuous oil produced at low rate after BT krw higher - fewer water channels blocked by oil

  • Effects of Wettability

    Page 64

    Water-Wet better kro lower krw krw = kro > 50% better flood performance

    Oil-Wet poorer kro higher krw kro = krw < 50% poorer flood performance

  • Wettability Effects: Brent Field

    Preserved Core

    Neutral to oil-wet

    low kro - high krwExtracted Core

    Water wet

    high kro - low krw

    Page 65

  • Importance of Wettability - Example

    Page 66

    Water Wet No = 2 Nw = 8 Swir = 0.20

    Sro = 0.30, krw = 0.25, ultimate recovery = 0.625 OIIP

    Intermediate Wet No = 4 Nw = 4 Swir = 0.15

    Sro = 0.25, krw = 0.5, ultimate recovery = 0.706 OIIP

    Oil Wet No = 8 Nw = 2 Swir = 0.10

    Sro = 0.20, krw = 0.75, ultimate recovery = 0.778 OIIP

    o/w = 3:1

  • Relative Permeability Curves

    0.0

    0.1

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    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    R

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    WW kroWW krw

    Page 67

  • Relative Permeability Curves

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    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    R

    e

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    WW kroWW krwIW kroIW krw

    Page 68

  • Relative Permeability Curves

    0.0

    0.1

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    0.6

    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    R

    e

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    a

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    P

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    (

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    WW kroWW krwIW kroIW krwOW kroOW krw

    Page 69

  • Fractional Flow Curves

    0.0

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    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    F

    r

    a

    c

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    i

    o

    n

    a

    l

    F

    l

    o

    w

    ,

    f

    w

    (

    -

    )

    WW fw

    Water WetSOR = 0.33

    Recovery = 0.59

    Page 70

  • Fractional Flow Curves

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    F

    r

    a

    c

    t

    i

    o

    n

    a

    l

    F

    l

    o

    w

    ,

    f

    w

    (

    -

    )

    WW fwIW fw

    IWSOR = 0.44

    Recovery = 0.482

    Page 71

  • Fractional Flow Curves

    0.0

    0.1

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    F

    r

    a

    c

    t

    i

    o

    n

    a

    l

    F

    l

    o

    w

    ,

    f

    w

    (

    -

    )

    WW fwIW fwOW fw

    Oil WetSOR = 0.63

    Recovery = 0.300

    Page 72

  • Costs of Wettability UncertaintyPV 120 MMbblsOil Price 30 US$/bbls

    Parameter Water-Wet IW Oil wetSwi 0.200 0.150 0.100Ultimate Sro 0.300 0.250 0.200Ultimate Recovery Factor 0.625 0.706 0.778SOR 0.330 0.440 0.630Actual Recovery Factor 0.588 0.482 0.300STOIIP (MMbbls) 96 102 108Ultimate Recovery (bbls) 60 72 84Actual Recovery (bbls) 56 49 32"Loss" (MM US$) 108 684 1548

    It is really, really important to get wettability right!!!

    Page 73

  • Page 74

    Rock Texture

  • Viscosity Ratio

    Page 75

    krw and kro - no effect ?

    End-Points - viscosity dependent

    Hence:

    use high viscosity ratio for curves

    use matched for end-points

    Not valid for neutral-wet rocks (?)

  • Saturation HistoryPrimary Drainage Primary Imbibition100 %

    Page 76

    0 %

    kr

    0 % 100 %Sw0 %

    kr

    0 % 100 %Sw

    Swi Sro

    NW

    W

    No hysteresis in wetting phaseNW

    W

  • Flow Rate

    Page 77

    Reservoir Frontal Advance Rate about 1 ft/day

    Typical Laboratory Rates about 1500 ft/day for 1.5 core samples

    Why not use reservoir rates ? slow and time consuming

    capillary end effects

    capillary forces become significant c.f. viscous forces

    Buckley-Leverett (and JBN) invalidated

  • Flow Parameters

    Nck

    vLend o Nc

    v w= RateRate NNcendcend(ml/h)(ml/h)44 2.32.3120120 0.070.07360360 0.020.02400400 0.020.02ReservoirReservoir 00

    RateRate NcNc(ml/h)(ml/h)44 1.2 x101.2 x10--77120120 3.6 x 3.6 x 1010--66360360 1.1 x 1.1 x 1010--55400400 1.2 x 1.2 x 1010--55ReservoirReservoir 1010--77

    For reservoir-appropriate data Nclab ~ NcreservoirIf Ncend > 0.1 kro and krw decrease as Ncend increases

    Relative Permeabilities are Rate-Dependent

    End Effect Capillary Number Flood Capillary Number

    Page 78

  • Bump Flood

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    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Water Saturation (-)

    R

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    (

    -

    )

    Low Rate krw'

    Bump Flood krw'

    High Rate krw ???

    Page 79

  • Flow Rate Considerations

    Page 80

    Imbibition (waterflood of water-wet rock) Sro function of Soi: Sro is rate dependent oil production essentially complete at BT krw suppressed by Pcend and rate dependent bump flood does not produce much oil but removes Pcend and

    krw increases significantly high rates acceptable but only if rock is homogeneous at pore

    level Considerations

    ensure Swi is representative low rate floods for Sro: bump for krw steady-state tests

  • Flow Rate Considerations

    Page 81

    Drainage (Waterflood of Oil-Wet Rock) end effects present at low rate Sro, krw dependent on capillary/viscous force ratio high rate: significant production after BT reduced recovery at BT compared with water-wet

    Considerations high rate floods (minimum Dp = 50 psid) to minimise end effects steady-state tests with ISSM low rates with ISSM and simulation

  • Flow Rate Considerations

    Page 82

    Neutral/Intermediate Sro and kro & krw are rate dependent

    bump flood produces oil from throughout sample, not just from ends

    ISSM necessary to distinguish between end effects and sweep

    Recommendations data acquired at representative rates

    (e.g. near wellbore, grid block rates)

  • JBN Validity

    Page 83

    High Viscosity Ratio viscous fingering invalidates 1D flow assumption

    Low Rate end effects invalidate JBN

    Most USS tests viewed with caution if Ncend significant

    if Nc not representative

    if JBN method used

    Use coreflood simulation

  • Test Recommendations

    Page 84

    Wettability Conditioning flood rate selected on basis of wettability

    Amott and USBM tests required

    Wettability pre-study reservoir wettability?

    fresh-state, cleaned-state, restored-state wettabilities

    beware fresh-state tests (often waste of time)

    reservoir condition tests most representative but expensive and difficult

  • Wettability Restoration

    Hot soxhlet does not make cores water wet!

    Restored-state cores too oil wet

    Lose 10% OIIP potential recovery

    -1.0

    0.0

    1.0

    -1.0 0.0 1.0

    Amott

    U

    S

    B

    M

    Original SCAL plugsHot Sox CleanedFlush Cleaned

    STRONGLYWATER-WET

    STRONGLYOIL-WET

    Page 85

  • Key Steps in Test Design

    Page 86

    Establishing Swi must be representative

    use capillary desaturation if at all possible remember many labs cant do this correctly

    fresh-state Swirr is fixed

    Viscosity Ratio matched viscosity ratio for end-points

    investigate viscosity dependency for rel perms

    normalise then denormalise to matched end-points

  • Key Steps In Test Design

    Page 87

    Flood Rate depends on wettability

    determine rate-appropriate end-points

    steady-state or Corey exponents for rel perm curves

    Saturation Determination conventional

    grain loss, flow processes unknown

    NISM can reveal heterogeneity, end effects, etc

  • Use of NISM

    Page 88

    Examples from North Sea

    Core Laboratories SMAX System low rate waterflood followed by bump flood

    X-ray scanning along length of core

    end-points

    some plugs scanned during waterflood

    Fresh-State Tests core drilled with oil-based mud

  • X-Ray Scanner

    Sw(NaI)X

    -

    r

    a

    y

    a

    d

    s

    o

    r

    p

    t

    i

    o

    n

    0% 100%

    X-rays emittedX-rays detectedScanning Bed

    Coreholder

    (invisible to X-rays)

    X-ray Emitter

    (Detector Behind)

    Page 89

  • NISM Flood Scans SMAX Example 1

    uniform Swirr

    oil-wet(?) end effect

    bump flood removes end effect

    some oil removed from body of plug

    neutral-slightly oil-wet

    Page 90

  • NISM Flood Scans

    SMAX Example 2 short sample

    end effect extends through entire sample length

    significant oil produced from body of core on bump flood

    moderate-strongly oil-wet

    data wholly unreliable due to pre-dominant end effect. Need coreflood simulation

    Page 91

  • NISM Flood Scans

    SMAX Example 3 scanned during flood

    minimal end effect

    stable flood front until BT vertical profile

    bump flood produces oil from body of core

    neutral wet

    data reliable

    Page 92

  • NISM Flood Scans

    Page 93

    SMAX Example 4 Sample 175 (fresh-state)

    scanned during waterflood

    unstable flood front oil wetting effects

    oil-wet end effect

    bump produces incremental oil from body of core but does not remove end effect

    neutral to oil-wet

    data unreliable

  • NISM Flood Scans

    SMAX Example 5 Sample 175 re-run after

    cleaning

    increase in Swirr compared to fresh-state test

    no/minimal end effects

    moderate-strongly water-wet

    Page 94

  • NISM Flood Scans

    SMAX Example 6 heterogeneous coarse sand variation in Swirr Sro variation parallels Swirr end effect masked by

    heterogeneity (?) very low recovery at low rate

    (thiefzones in plug?) bump flood produces

    significant oil from body of core

    neutral-wet

    Page 95

  • Key Steps in Test Design

    Page 96

    Relative Permeability Interpretation key Buckley-Leverett assumptions invalidated by most short

    corefloods

    Interpretation Model must allow for: capillarity

    viscous instability

    wettability

    Simulation required e.g. SENDRA, SCORES

  • Simulation Data Input

    Page 97

    Flood data (continuous) injection rates and volumes

    production rates

    differential pressure

    Fluid properties viscosity, IFT, density

    Imbibition Pc curve (option)

    ISSM or NISM Scans (option)

    Beware several non-unique solutions possible

  • History Matching

    Pressure and production

    1.66 cc/min

    0 100 200 300 400 500 600 700 800

    0,1 1,0 10,0 100,0 1000,0 10000,0Time (min)

    D

    i

    f

    f

    e

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    n

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    P

    r

    e

    s

    s

    u

    r

    e

    (

    k

    P

    a

    )

    0,0

    1,0

    2,0

    3,0

    4,0

    5,0

    6,0

    O

    i

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    P

    r

    o

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    u

    c

    t

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    n

    (

    c

    c

    )

    Measured differential pressureSimulated differential pressureMeasured oil productionSimulated oil production

    Page 98

  • History Matching

    Saturation profiles

    0.2

    0.3

    0.4

    0.5

    0.6

    0.7

    0.8

    0.0 0.2 0.4 0.6 0.8 1.0

    Normalized Core Length

    W

    a

    t

    e

    r

    S

    a

    t

    u

    r

    a

    t

    i

    o

    n

    Page 99

  • Simulation Example JBN Curves

    Page 100

    Relative Permeabilty CurvesPre-Simulation

    0

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    1

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Water saturation

    R

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    KrwKrolow rate end pointhigh rate end point

  • Simulation Example Simulated Curves

    Page 101

    Relative Permeabilty CurvesPost Simulation

    0

    0.1

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    1

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Water saturation

    R

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    KrwKrolow rate end pointhigh rate end pointKrw SimulationKro Simulation

  • Quality Control

    Page 102

    Most abused measurement in core analysis

    Wide and unacceptable laboratory variation

    Quality Control essential test design detailed test specifications and milestones contractor supervision modify test programme if required

    Benefits better data more cost effective

  • Water-Oil Relative Permeability Refining

    Page 103

    Key Steps curve shapes

    Sro determination and refinement

    refine krw

    determine Corey exponents

    refine measured curves

    normalise and average

    Uses Corey approach rock curves may not obey Corey behaviour

  • Curve Shapes

    Page 104

    Water-Oil Rel. Perms.

    0.0001

    0.001

    0.01

    0.1

    1

    0 0.2 0.4 0.6 0.8 1

    Sw

    K

    r KroKrw

    0

    0.1

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    0.5

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    0.8

    0.9

    1

    0 0.2 0.4 0.6 0.8 1

    Sw

    K

    r

    KroKrw

    Cartesian

    Good data convex upwards

    Semi-log

    Good data concave down

  • Sro Determination

    Page 105

    Compute Son

    high, medium and low Sro

    low rate, bump, centrifuge Sro

    Plot Son vs kro (log-log)

    Sro too low

    curves down

    Sro too high

    curves up

    Sro just right

    straight line

    0.0001

    0.001

    0.01

    0.1

    1

    0.0100.1001.000Son = (1-Sw-Sor)/(1-Swi-Sor)

    K

    r

    o

    Sor = 0.40Sor = 0.20Sor = 0.35

  • Refine krwRefined krw

    Use refined Sro

    Plot krw versus Swn

    Fit line to last few points

    least affected by end effects

    Determine refined krw

    Page 106

    0.01

    0.1

    1

    0.1 1

    Swn = 1-Son

    K

    r

    w

  • Determine Best Fit Coreys

    Use refined Sro and krw

    Determine instantaneous Coreys

    Plot vs Sw

    Take No and Nw from flat sections

    Least influenced by end effects

    )log()0.1log()log()'log(*

    wnSkrwkrwNw

    =

    )log()log(*

    onSkroNo =

    0

    0.5

    1

    1.5

    2

    2.5

    3

    3.5

    0 0.2 0.4 0.6 0.8 1

    Sw

    N

    o

    '

    &

    N

    w

    '

    NoNw

    Page 107

  • Refine Measured Data

    Endpoints

    Refined krw and Sro

    Corey Exponents

    No and Nw (stable)

    Corey Curves

    0.0

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    1.0

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Sw

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    Refined Kro

    Refined Krw

    Original Kro

    Original Krw

    Norefined Sonkro =)(

    Nwrefined Swnkrwkrw ')( =

    Page 108

  • Normalisation Equations

    Page 109

    Water-Oil Data

    Gas - Oil Data

    endrw

    rwrwn k

    kk =endro

    ronro k

    kk =rowwi

    wiwnw SS

    SSS =

    1

    gcrogwi

    gcggn SSS

    SSS

    =1

    endro

    ronro k

    kk =endrg

    rgrgn k

    kk =

  • Example - kro Normalisation

    0

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    0.9

    1

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Water Saturation (-)

    O

    i

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    (

    -

    )

    Sample 1Sample 2Swirr

    Swn = 0

    Sw = 1-SroSwn = 1

    Page 110

  • Example - krw Normalisation

    0

    0.1

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    0.9

    1

    0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Water Saturation (-)

    W

    a

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    (

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    Sample 1Sample 2

    krw at Srokrwn = 1

    Page 111

  • Normalise and Compare Data - kron

    0.0

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    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Normalised Water Saturation (-)

    N

    o

    r

    m

    a

    l

    i

    s

    e

    d

    O

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    e

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    (

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    123456789101112131415

    Different Rock Types ?Different Wettabilities?

    Steady State

    Page 112

  • Normalise and Compare Data - krwn

    0.0

    0.1

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    0.4

    0.5

    0.6

    0.7

    0.8

    0.9

    1.0

    0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0

    Normalised Water Saturation (-)

    N

    o

    r

    m

    a

    l

    i

    s

    e

    d

    W

    a

    t

    e

    r

    R

    e

    l

    a

    t

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    e

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    a

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    (

    -

    )

    1234567891112131415

    Page 113

  • Denormalisation

    Page 114

    Group data by zone, HU, lithology etc

    Determine Swir (e.g. logs, saturation-height model)

    Determine ultimate Sro e.g. from centrifuge core tests

    Determine krw at ultimate Sro e.g. from centrifuge core tests

    Denormalise to these end-points

    Truncate denormalised curves at ROS depends on location in reservoir

  • Denormalisation Equations

    Water Oil

    Gas-Oil

    Denormalised Endpoints

    Water-Oil

    Swikro (@Swi)

    krw (@1-Srow)

    From correlations & average data

    rwnendrwrwdn

    ronendrorodn

    wirowiwndnw

    kkkkkk

    SSSSS

    ..

    )1(

    ==

    +=

    rgnendrgrgdn

    ronoendrodn

    gcgcrogwigndng

    kkkkkk

    SSSSSS

    ..

    )1(

    ==

    +=

    Page 115

  • Summary Getting the Best Rel Perms

    Page 116

    Ensure samples are representative of poro-perm distribution

    Ensure Swir representative (e.g. porous plate, centrifuge)

    Ensure representative wettability (restored-state?)

    Use ISSM (at least for a few tests)

    Ensure matched viscosity ratio

    Low rate then bump flood

    Centrifuge ultimate Sro and maximum krw Tail ok kro curve if gravity drainage significant

    Use coreflood simulation or Coreys for intermediate kr

    Module 8:Relative PermeabilitySynopsisApplicationsDefinitionsRequirementsJargon Buster!Why shape is importantEndpointsEndpointsCurves - 1Curves - 2Curves - 3Relative PermeabilityRelative Permeability Curves Key FeaturesWaterflood InterpretationRelative Permeability InterpretationJBN Method OutlineBuckley Leverett AssumptionsCapillary End EffectEnd EffectScaling CoefficientCapillary End EffectsComposite Core PlugCorey Exponents Water/Oil SystemsNormalisationCorey ExponentsGas-Oil Relative PermeabilityTypical Gas-Oil Curves: LinearTypical Gas-Oil Curves: Semi-LogGas-Oil CurvesGas-Oil Curves Corey MethodCorey Gas-Oil CurvesTypical Lab Data - krgLaboratory MethodsTest StatesTest StateIrreducible Water Saturation (Swir)Lab Variation in Swir (SPE28826)Centrifuge TestsDynamic Displacement TestsUnsteady-State WaterfloodUnsteady-State Relative PermeabilityUnsteady-State ProceduresUnsteady-StateEffect of Adverse Viscosity RatioUnsteady-State TestsSteady-State TestsSteady-State Test EquipmentSteady-State ProceduresSteady-State versus Unsteady-StateLaboratory TestsOil RecoveryGas-Oil and Gas-Water Relative PermeabilityDrainage Gas-Water Curves (steady-state)Water-Gas Relative PermeabilityImbibition TestsCCI: Experimental DataTrapped or Residual Gas SaturationImbibition Kw-KgRelative Permeability ControlsWettabilityWettabilityWettabilityEffects of WettabilityWettability Effects: Brent FieldImportance of Wettability - ExampleRelative Permeability CurvesRelative Permeability CurvesRelative Permeability CurvesFractional Flow CurvesFractional Flow CurvesFractional Flow CurvesCosts of Wettability UncertaintyRock TextureViscosity RatioSaturation HistoryFlow RateFlow ParametersBump FloodFlow Rate ConsiderationsFlow Rate ConsiderationsFlow Rate ConsiderationsJBN ValidityTest RecommendationsWettability RestorationKey Steps in Test DesignKey Steps In Test DesignUse of NISMX-Ray ScannerNISM Flood ScansNISM Flood ScansNISM Flood ScansNISM Flood ScansNISM Flood ScansNISM Flood ScansKey Steps in Test DesignSimulation Data InputHistory MatchingHistory MatchingSimulation Example JBN CurvesSimulation Example Simulated CurvesQuality ControlWater-Oil Relative Permeability RefiningCurve ShapesSro DeterminationRefine krwDetermine Best Fit CoreysRefine Measured DataNormalisation EquationsExample - kro NormalisationExample - krw NormalisationNormalise and Compare Data - kronNormalise and Compare Data - krwnDenormalisationDenormalisation EquationsSummary Getting the Best Rel Perms