1 Procesos de EOR en NFR Taller 2
Transcript of 1 Procesos de EOR en NFR Taller 2
EOR Processes and Reservoir Characterization in NFRs –The Cantarell, Ku, Maloob, and Zaap Fields
Tayfun Babadagli, PhD, PEngProfessor of Petroleum Engineering
University of AlbertaDept. of Civil and Env. Eng., School of Mining and Petroleum
Edmonton, Alberta, [email protected]
URL: www.ualberta.ca/~tayfun
PEMEX Workshop, Ciudad del Carmen, 9-13 November 2009
EOR Processes in NFR – Workshop -2
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OBJECTIVE
DAY-1: Reservoir Characterization for NFVR (Naturally Fractured – VuggyReservoirs): What are the problems in NFVR characterization? What are the problems in NFR development (drilling, production, well and reservoir management, completion, modeling, data gathering, EOR) in relations to the characterization. Pore scale characterization of NFVR. Tools used for larger scale characterization: Cores, outcrops, logs, drilling data, well tests. Heterogeneity, permeability distributions. Use of different logs (resistivity, radioactive and sonic logs) in reservoir characterization. Estimation of porosity, porosity-permeability correlations, the use of NMR logs in permeability estimation. From geology to petrophysics, production data to wells tests reservoir characterization of NFVR.
DAY-2: Reservoir Characterization for NFVR. Use of well test analysis in reservoir characterization. Basic principles, use of different well tests for reservoir characterization. Type curve and derivative analysis. Pitfalls in well test interpretations. Characterization of naturally fractured reservoirs through well testing.
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DAY-3: Use of fractal geometry and stochastic techniques in reservoir characterization. Definition of fractal dimension, self-similar and self-affine fractals. Analysis of logs using fractal techniques. Generation of representative static reservoir models. Concept of stochastic modeling. Fracture surface characterization. Fracture networks. Use of fractal geometry in characterization of fracture surfaces and networks. Use of pressure transient analysis and tracer tests in fracture network characterization and mapping fracture network permeability. Using production data in reservoir and fracture swarm characterization. Practical modeling of fracture network permeability.
DAY-4: Selection of EOR process in NFVR: Immiscible, miscible, thermal, chemical techniques in NVFR. Heavy-oil vs. light oil. Laboratory analyses and field cases. Followed by a discussion period.
DAY-5: EOR methods applicable to offshore NFVR with 28-38 API and water and gas production problems due to active aquifer and gas cap.Current and potential applications in RMNO fields. Field examples analog: The Yates, Bati Raman, Spraberry, Qarn Alam, Midale-Weyburn, Yibal, Ekofisk, North Sea fields etc. Followed by a discussion period.
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DISCUSSION ON Abkatun-Pol-Chuc, Caan: Selection of EOR process applicable to offshore NFVR with 28 API and water and gas production problems due to active aquifer. There is oil in the matrix surrounded by water or by gas. Dimensionless groups to characterize different EOR Processes in Abkatun-Pol-Chuc in order to select the appropriate EOR Process.
DISCUSSION ON Light oils: EOR process applicable to offshore NFVR with 28-38 API High Pressure (active aquifers) and High temperature in the reservoir. Cluster of small offshore reservoirs. Dimensionless groups to characterize different EOR Processes in order to select the appropriate EOR Process.
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Fractures provide no additional porosity or permeability but create significant reservoir
heterogeneity (Barrier)Type 4
Kirkuk, Iraq Gachsaran, Iran Hassi Messaoud,
Algeria
Fractures assist permeability in an already producible reservoirType 3
Agha Jari, Iran Haft Kel, Iran
Spraberry, TexasFractures provide the essential permeabilityType 2
Amal, Libya Edison, California
Wolf Springs, Montana
Fractures provide the essential reservoir porosity and permeabilityType 1
ExampleDefinitionNFR Type
Type of Fracture Reservoirs
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Common fracture styles, their displacements, and their orientations relative to principal stress orientations common in the Earth’s upper crust (after Narr et al. 2006).
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EXPERIMENTAL FRACTURES•Shear•Extension•Tensile
NATURAL FRACTURES•Tectonic (due to surface forces)•Regional (surface or body forces)•Contractional (body forces)•Surface related (body forces)
FRACTURE CLASSIFICATION
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TYPICAL FOLD RELATED FRACTURE ORIENTATIONS
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Nelson, 2001
TECTONIC FRACTURES
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Nelson, 2001
CONJUGATE FOLD-RELATED FRACTURES
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Nelson, 2001
CONTRACTIONAL FRACTURES
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Nelson, 2001
CONTRACTIONAL FRACTURES
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Fractures provide essential porosity and permeability
(After Nelson, 2001)
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Fractures provide essential permeability
(After Nelson, 2001)
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Fractures provide essential porosity and permeability Fractures provide permeability assist
(After Nelson, 2001)
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Fractures provide essential permeability
(After Nelson, 2001)
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LPlbq Δ
=μ12
3
1
12
2bK f =
SetsFracturenForD
eD
eKK
n
nnmfm →+++= 1
12cos
...12cos 23
1
123
1 αα
xpbv f ∂
∂−=
μ12
2L
l
bL
FRACTURE PERMEABILITY
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)}/12/1)(0(exp{ DKK geff −= ρ King, 1987
Bogdanov et al. (2003)
FRACTURE PERMEABILITY
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(after Hestir and Long, 1990)
cc pppppP >− βα )()(μα )( cppK − Stauffer and Aharony (1994) proposed the following general
scaling law between the conductivity (or permeability) and percolation threshold and exponent
PERCOLATION THEORY
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(after Hestir and Long, 1990)
Zhang and Sanderson (2002), d=fracture density pcp ddAK )( −=
)'(' 32 ρσρ KAK p ⟩⟨= Mourzenko et al. (2005)
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• Fractal feature of fracture networks.• Fractal geometry ~ network
permeability.– Fractal dimension @ percolation of
fracture network (experimental work).• Fractal distribution of permeability -
upscaling.
CURRENT ISSUES
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D = ? @ Percolation Threshold ( D = 1.35 ???, Barton)
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Selected percolation thresholds for various lattices. Site refers to site percolation and bond refers to bond percolation
(after Stauffer and Aharony, 1994).
0.07870.089D = 7 hypercubic
0.09420.107D = 6 hypercubic
0.11820.141D = 5 hypercubic
0.16010.197D = 4 hypercubic
0.1190.198FCC
0.18030.246BCC
0.24880.3116Simple Cube
0.3880.43Diamond
0.347290.5Triangular
0.50.592746Square
0.652710.6962Honeycomb
BondSiteLattice
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cpNear the critical percolation threshold , the following scaling law exist:
Percolation probability
Accessible fraction
Backbone fraction
Correlation length
Effective conductivity
Permeability of a percolation network. e
c
ce
vcp
cB
cA
c
pppK
pppg
ppp
pppX
pppX
pppP
B
p
p
)()(
)()(
||)(
)()(
)()(
)()(
−≈
−≈
−≈
−≈
−≈
−≈
−
μ
β
β
β
ξ
The exponents in the above scaling law are universal and their values are presented in the following slide.
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Values of critical exponents of percolation (after Sahimi, 1993).
pβ
Bβ
v
μ 2.01.3
0.884/3
1.050.47
0.415/36
D = 3D = 2Exponent
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(after Mourzenko et al. 2005).
)'(' 32 ρσρ KAK p ⟩⟨=
ρ
σ
pA
2'K
3'ρ
⟩⟨ pAσρ
is fracture density,
is fracture conductivity coefficient,
is surface area,
is dimensionless permeability and
is dimensionless density. The extensive term
represents the volumetric area of fractures, weighted by the individual fracture conductivities.
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Dual continuum and discrete fracture network concepts (after Dershowitz et al. 1998)
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Porous media equivalent
as SDK 113'6.07.110 +−−=)8/(2 FRK =DDK /)4( −≈φ
)]()[21 )/(' vvss EDDE
nllCK −+−= φ
)}/12/1)(0(exp{ DKK geff −= ρ
SetsFracturenForD
eD
eKK
n
nnmfm →+++= 1
12cos
...12cos 23
1
123
1 αα
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UNSWEPT AREA:
• Viscous fingering or capillary trapping (micro scale).• Mobility ratio or channeling or heterogeneity (larger scales)
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q=1 cc/min
Matrix : 0.35 mmFracture : -
Oil Vis. = 2.2 cp
20 cm
12 c
m
3.5 cc
6.5 cc
14 cc
15 cc
Water
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q=1 cc/min q = 2.5 cc/min
3.5 cc
7.5 cc
17 cc
24 cc
3.5 cc
5 cc
15 cc
35 cc
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WHAT IS Sor (SWEPT ZONE)In water wet rock, residual oil is trapped in a pore. If the capillary forces are greater than the force of driving fluid, trapping occurs.
GRAIN
OIL BLOBWATER P1 P
2
P1 P2FOR DISPLACEMENT OF OIL BLOB
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Mobilization of Oil Blob
DARCY LAW YOUNG-LAPLACE
kLqPP w
1μΔ ==
rCos2PPPP cwnw2
θγ==−=
>μk
Lq wr
Cos2 θγ
For mobilization of oil blob
Lr)Cos(2q
wμθγ
>
v = injection velocity μw = water viscosity γow = interfacial tension θ = contact anglek = permeability r = pore size L = pore length q = injection rate
Since k ~ r2, then
)Cos(vN w
ca θγμ
=
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v = injection velocity μw = water viscosityγow = interfacial tension θ = contact anglek = permeability r = pore sizeL = pore length q = injection rate
capillaryviscousvN
ow
wca ==
γμ
CAPILLARY NUMBER, Nca
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From Stegemeir (Improved Oil Rec. by Surf. And Polymer Flooding, 1977)
Immiscible Miscible
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capillaryviscousvN
ow
wca ==
γμ
owca
LPk
NγΔΔ
=LPkv
ΔΔ
μ=
•In reservoir it is not practical to increase significantly the pressure differential between injection and production well over that ofwaterflood.•Infill drilling feasibly reduce the interwell distance (ΔL) by no more than a factor of two or four.•The only way to reduce the Nca the four orders of magnitude required to reduce the ROS is to reduce the IFT.
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Modified capillary number for waterfloods at constant injection rates:
4.0
mod )cos()( ⎟⎟⎠
⎞⎜⎜⎝
⎛−
=−o
w
oroi
wca
owSS
vNμμ
θγμ
After Abrams, SPEJ Oct. 1975.
A field scale capillary number was defined for 5-spot pattern as follows:
u : superficial water velocityk : absolute permeabilityko
rw : end-point water relative permeabilityΔP : injector-producer pressure dropA : pattern aread : injector producer distancerw : well radius
⎟⎟⎠
⎞⎜⎜⎝
⎛−
Δ=
619.0ln
10
ww
orw
w
rdA
Pkku
μ)Cos(vN w
ca θγμ
=
da
P
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DISPLACEMENT IN OIL–WET AND WATER–WET MEDIA
GRAIN
WATER
OIL WET
OILGRAIN
WATER
OIL WET
OILGRAIN
WATER
OIL WET
OIL
GRAIN
WATER
WATER WET
OIL
GRAIN
WATER
WATER WET
OIL
GRAIN
WATER
WATER WET
OIL
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Jadhunandan and Morrow, SPE 22597, 1991
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WATER INJECTED, PV
8070605040302010
0 1 2 3 4 5 6 7 8 9 10
WATER WETMIXED WET
Oil Saturation(%)
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CALCITE
WATER
NAPHTHENIC ACID
θ = 106o
SANDSTONE
WATER
NAPHTHENIC ACID
θ = 35o
θ is the only measure of WETTABILITY
Sandstone : Water-wet, Carbonates: Oil-wetWettability changes with pH, organic compounds existing, rock type.(A good review of wettability by N. Morrow, JPT Dec. 1990, 1476-1484, SPE 21621)
WETTABILITY OF DIFFERENT ROCK TYPES
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INTERFACIAL TENSION (IFT)
There exists a few molecule thick zone at the interface between twoimmiscible fluids. At this zone, molecular attraction is different than inside.
van der Walls forces (F~ (… )/r7 )
and
electrostatic forces (F~ (… )/r2 )
WATEROIL
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INTERFACIAL TENSION (γ) = FORCE / LENGTH = DYNE / CM(WORK/AREA)
IF γ > 0 IMMISCIBLE IF γ = 0 MISCIBLE
γo-w = 10-30 dyne/cm @ 75 oFγsteam-w = 70 dyne/cm (Surface tension, ST)
IFT < ST, IFT decreases with increasing temperature and pressure.
INTERFACIAL TENSION (IFT)
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CAPILLARY PRESSURE, PC
θ hOIL
WATER
CAPILLARY TUBE
r2*AForceUp T Π=)cos(A OWWSOST θγγγ =−=
)r(hgForceDown 2Πρ=
ρθγ hgr
)cos(2PPP wnwc ==−=
CA
PILL
AR
Y PR
ESSU
RE,
psi
0 100 WATER SATURATION, %
DRAINAGE (nw-w)
IMBIBITION (w-nw)
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RELATIVE PERMEABILITY, kr
DARCY is no longer valid when two immiscible fluids flow in porous medium. In this case flow depends on saturation, viscosity ratio contact angle, capillary number and time.
kro = ko/k, krg = kg/k, krw=kw/k
REL
ATI
VE P
ERM
EAB
ILIT
Y, k
r
0 100 WATER SATURATION, %
Swi S or
Oil
Water
1WATER WET
50
REL
ATI
VE P
ERM
EAB
ILIT
Y, k
r0 100 WATER SATURATION, %
Swi Sor
Oil
Water
1OIL WET
50
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0 1
1
0
Rel
ativ
e P
erm
eabi
lity
krw
kro
Swi 1-Sor
RELATIVE PERMEABILITY
Sw, fraction
2 = Recoverable OilReserves
31 2
1 = OOIP (1-Swi)(Logs, Pc, SCAL)
3 = Residual OilSCAL, logs, MB
HOW FAST
HOW MUCH
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DETERMINATION OF RESIDUAL OIL SATURATION
METHODS
•Core Analysis•Logs•Volumetric-Reservoir Engineering Studies•Production Data•Chemical Tracers•Well Testing (need support from core analysis)
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ADVANTAGES - DISADVANTAGES•Volumetric-Reservoir Engineering Studies:
Remaining after waterflood but no information aboutthe oil distribution
•Chemical Tracers:Distribution
122912
12
ROS fromTracer Test
Oil in isolated pockets. Infill.444
Tertiary oil recovery (TOR)403
Oil in isolated pockets. Infill.252
Both low, no TOR. More wells between producers
161
ROS fromMaterial Balance
(% PV)
Field
Data from: Determination of Residual Oil Saturation, D.C. Bond, C.R. Hocott, F.H. Poettmann (Editors), Interstate Oil Compact Comm., Oklahama City, OK, 1978
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FLUID SATURATIONS by CORE ANALYSIS
•Vacuum distillation•Distillation (water) -Extraction (oil) using solvents•High temperature retorting (@atmospheric P and 1200 oF)
Average waterflood residual oil in the reservoir (flooded region)
Average waterflood residual oil from coresBo Formation Volume Factor of OilE Bleeding Factor = 1.1M Mobility RatioV Permeability Variation
Kazemi (JPT Jan. 1977)
( ) ( ) 2ocoreoreso V1MEBSS−
=
( )resoS
( )coresoS
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RESIDUAL OIL
SOR (core, log, tracer) < SOR (Material Balance)SOR (PNC) = SOR (Resistivity logs)SOR (Single well tracer) < (SOR (logs)
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50S
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ple
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Resi
dual
Oil,
%
Material Balance Resistivityogs PNC (Log-Inject-Log) Core (pressure) WOR-Rel. Perm.
Babadagli, T. SPE 93884, produced using the data from: Determination of Residual Oil Saturation, D.C. Bond, C.R. Hocott, F.H. Poettmann (Editors), Interstate Oil Compact Comm., Oklahoma City, OK, 1978
Residual Oil Saturations for Different (US) Sandstone Oil Reservoirs
MEASUREMENT OF RELATIVE PERMEABILITY, kr
Although there exist analytical, statistical and stochastic techniques, the most reliable way of obtaining kr curves is the experimental methods.
There exist three methods:
1. Steady State: Calculation is simple - relies on Darcy’s Equation - but the experimentation takes longer time.
2. Unsteady State: Easier to measure but longer calculation time is required for JBN and Welge techniques.
3. Centrifuge: Less common than other two methods.
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qwiqoi qoL
qwL
L
Poi
Pwi
PoL
PWL
w
wwrw PkA
LqkΔ
μ=
o
ooro PkA
Lqk
Δ=
μ
STEADY STATE
• The experimental procedure is difficult and time consuming• Calculation is simple
End effect is a problem.
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UNSTEADY STATE
qwi qT = qwL + qoL
L
P1 P2
Difficulty arises due to capillary end effect, viscous fingering and the effort required for the computations.
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CENTRIFUGE
•A fast technique based on unsteady-state flow.
•Relative permeabilities are determined by mathematical models.
•Viscous fingering is avoided.
•Does it really represent the flow process in reservoir?
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SO, WHICH METHOD IS GOOD? (SPE 18292, SPE 28826)
Experiments Reservoir Displacement Processes
Waterflooding GOGD WAG
Steady-state: Does not resemble to displacement but fast.
X X
Unsteady-state:Indirect but fast and resembles to flooding in reservoir
X X
Centrifuge: Indirect, fast but not proven for water/oil systems.
X X X
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After Bardon and Longeron, 1978 SPE AIME
IFT
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WETTABILITY
After Donaldson and Crocker, US DOE Report BERC/RI-77/15, Dec. 1977.
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THREE PHASE RELATIVE PERMEABILITY(TERTIARY RECOVERY)
•GOGD (Gas Oil Gravity Drainage)•Waterflood•Steamflood•Immiscible gas flooding•Water alternating gas•Chemical flooding
Corey: Gas-oil measured at the presence of connate water
Stone: Only kro is a function of both water and gas saturationPorous media is water-wet
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THREE PHASE RELATIVE PERMEABILITY(TERTIARY RECOVERY)
•More hysterisis in USS curves than in SS curves.•USS curves indicate more oil-wet conditions.•Owing to a different trapping mechanism, gas RP curves showed much•Weaker dependence on the direction of gas saturation change under SS compared to the USS •SS more reliable!
For strong-wetting conditions : SS is more reliable
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NATURALLY FRACTURED RESERVOIRS - NFR
Data acquisition ????? Reservoir simulation
Dilemma: How to incorporate different (and limited) data sets and map the fracture network.
NFR characterization is mainly based on the fracture sets seen in the logs and cores.
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CORES:
Used to determine:
Origin, geometry and occurrence of fractures
Geomechanical modification
Fracture orientation
Fracture dip relative to core axis and to bedding, as well as relative orientation of fractures should be measured.
Fracture aperture and height: Needed for fracture density, porosity, etc.
After Narr, Schechter, Thompson“Naturally Fractured Reservoir Characterization” SPE, 2006
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IMAGE LOGS
Direct source of information.Two types; resistivity based and acoustic.
(a)Open fractures in resistivity image (dark sinusoids), (b) Core form the same well, (c) image of whole core
(Courtesy Frank Lim, NFR SPE)
After Narr, Schechter, Thompson“Naturally Fractured Reservoir Characterization” SPE, 2006
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Apparent fracture height can be measured from image logs.
Open fractures: filled with conductive mud filtrate
Closed fractures: filled with resistive mineralization
Image logs are good for orientations. Aperture could also be computed.
After Narr, Schechter, Thompson“Naturally Fractured Reservoir Characterization” SPE, 2006
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FRACTURE DENSITY
Fracture surfaces area/unit volume
Fracture surface area : computed form cores or image logs.
rr hDV2
2⎟⎠⎞
⎜⎝⎛Π=
r
n
ifi
r
n
ifi
f Dh
h
V
Ad
ff
∑∑== == 11
L2/L3 is reduced to 1/L. For a set of parallel fractures, L is equal to their average spacing (perpendicular distance between fractures).
Fracture density provides fracture spacing
r
n
ififi
r
n
ififi
f Dh
ha
V
Aaff
∑∑== == 11φ
af is fracture aperture.
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Fracture Permeability
12
2o
fWk = Muskat Eq.
swk o
f 12
3
= Lamb’s Equation
If w is in inches (IF=# fractures/ft) IFwk f **10*54.4 36=
If w is in cm (IF=# fractures/ft) IFwk f **10*77.2 35=
DIRECT PROPORTIONALITY!!!!
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Nelson, R.A. Geological Analysis of Naturally Fractured Reservoirs, Gulf Publ. 2001
FRACTURE SPACING
Calculated in core and outcrops by counting the number of fractures encountered along a line of some given length perpendicular to the fracture set an dividing the length of measurement line.
In more complex environments, the same is done along lines in specific dimensions.