Effective Medium Models
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Are real rocks hopelessly complex?
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Theoretical Models
• Some are mathematically elegant (complicated).
• Most are extreme idealizations of the complexity of real
During the last four decades, many theoretical models
have appeared which try to describe the elastic and
transport properties of rocks.
129Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
• Most are extreme idealizations of the complexity of real rocks
Models with Idealized Geometries
Contact Theories Inclusion Models
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?
Bounding Methods for Estimating Effective
Elastic Moduli
For many reasons we would like to be able to model or estimate the effective
elastic moduli of rocks in terms of the properties of the various constituent
minerals and pore fluids. To do it precisely one must incorporate
• the individual elastic moduli of the constituents
• the volume fractions of the constituents
• geometric details of how the various constituents
131Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
• geometric details of how the various constituents
are arranged
The geometric details are the most difficult to know or measure. If we ignore (or
don’t know) the details of geometry, then the best we can do is estimate upper
and lower bounds on the moduli or velocities.
The bounds are powerful and robust tools. They give rigorous upper and lower
limits on the moduli, given the composition. If you find that your measurements
fall outside the bounds, then you have made a mistake - in velocity, volume
fractions, or composition!
Voigt and Reuss BoundsOn a strictly empirical basis one can imagine defining a power law average of
the constituents
where
Special cases are the Voigt average (an upper bound):
= the effective modulus of the composite
= the modulus of the ith constituent
= the volume fraction of the ith constituent
α = a constant, generally between -1 and +1
M
M i
f i
Mα
= f1M1
α+ f2M2
α+ f3M3
α+ ...
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Special cases are the Voigt average (an upper bound):
and the Reuss average (a lower bound):
Since these are upper and lower bounds, an estimate of the actual value is
sometimes taken as the average of the two, known as the Voigt-Reuss-Hill
average:MVRH =
MV + MR
2
KV = fQKQ + fF KF + fCKC ... + fW KW + fO KO + fGKG
µV = fQ µQ + fFµ F + fC µC ... + fW µW + fO µO + fGµG
K R
−1
= fQKQ
−1 + fFKF
−1 + fCKC
−1...+ fWKW
−1 + fOKO
−1 + fGKG
−1
µR
−1
= fQµQ
−1+ fFµF
−1+ fC µC
−1...+ fWµW
−1+ fOµO
−1+ fGµG
−1
The Voigt and Reuss averages are interpreted as the ratio of average stress
and average strain within the composite.
The stress and strain are generally unknown in the composite and are expected
to be nonuniform. The upper bound (Voigt) is found assuming that the strain is
everywhere uniform. The lower bound (Reuss) is found assuming that the
stress is everywhere uniform.
Geometric interpretations:
133Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Voigt iso-strain model Reuss iso-stress model
Since the Reuss average describes an isostress situation,
it applies perfectly to suspensions and fluid mixtures.
ˆ E =ˆ σ ˆ ε
=f iσ i∑ˆ ε
=f i( ˆ ε E i)∑ˆ ε
ˆ E =ˆ σ ˆ ε
=ˆ σ
f iεi∑=
ˆ σ
f i(ˆ σ
E i
)∑1ˆ E
=f i
E i
∑ˆ E = f i∑ E i
Example: Representing a soft water-bottom sediment as a suspension.
A true suspension consists of particles suspended in a liquid. A suspension will act like a fluid, having zero shear modulus, and a bulk modulus given by the Reuss average. A suspension is isostress: both liquid and particles feel the same pressure.
We often approximate a soft-water bottom as a suspension, since it is composed of particles that are completely wet, with only slight grain-to-grain contacts.
K +4 µ
0
P-wave velocity
134Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
VP =
K +3 µ
ρ
ρ = 1− φ( )ρsolid + φρbrine
K =1− φ
Ksolid
+φ
Kbrine
Gas-charged sediment: ρ = 1− φ( )ρsolid + φSwρbrine + φ 1− Sw( )ρgas
K = 1− φ( )Ksolid + φSwKbrine + φ 1− Sw( )Kgas
Wet sediment:
P-wave velocity
K = 5.05GPa
ρ =1.99g /cc
V =1.59km /s
K = 0.74 GPa
ρ =1.88 g /cc
V = 0.63 km /s
φ = 0.4; Sw = 0.7; Kqtz = 37; Kw = 2.2; Kgas = 0.1 GPa; ρqtz = 2.65; ρw =1.0; ρgas = 0.1 g /cc
Voigt
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Velocity-porosity relationship in clastic sediments compared with the Voigt and Reuss bounds. Virtually all of the points indeed fall between the bounds. Furthermore, the suspensions, which are isostress materials (points with porosity > 40%) fall very close to the Reuss bound.
Data from Hamilton (1956), Yin et al. (1988), Han et al. (1986). Compiled by Marion, D., 1990, Ph.D.
dissertation, Stanford Univ.
Reuss water
136Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Velocity-porosity relationship in clastic sediments compared with the Voigt and Reuss bounds. Virtually all of the points indeed fall between the bounds. Furthermore, the suspensions, which are isostress materials (points with porosity > 40%) fall very close to the Reuss bound.
Data from Hamilton (1956), Yin et al. (1988), Han et al. (1986). Compiled by Marion, D., 1990, Ph.D.
dissertation, Stanford Univ.
Reuss water5% gas
Hashin-Shtrikman Bounds
The narrowest possible bounds on moduli that we can estimate for an isotropic
material, knowing only the volume fractions of the constituents, are the Hashin-
Shtrikman bounds. (The Voigt-Reuss bounds are wider.) For a mixture of 2
materials:K HS ± = K 1 +
f 2
K 2 − K1( )−1
+ f1 K 1 +4
3µ 1
−1
µ HS ±= µ1 +
f 2
µ 2 − µ 1( )−1+
2 f1(K1 + 2µ1)
5µ 1 K 1 +4
3µ 1
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Interpretation of bulk modulus:
where subscript 1 = shell, 2 = sphere. f1 and f2 are volume fractions.
These give upper bounds when stiff material is K1, µ1 (shell) and lower bounds
when soft material is K1, µ1.
3
Hashin-Shtrikman Bounds
A more general form that applies when more than two phases are being mixed (Berryman, 1993):
where
K HS + = Λ(µmax), K HS− = Λ(µmin)
µ HS+ = Γ ζ Kmax,,µmax( )( ), µHS − = Γ ζ Kmin ,µmin( )( )
138Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
where
indicates volume average over the spatially varying K(r), µ(r) of the constituents.
Λ(z) =1
K( r) +4
3z
−1
−4
3z
Γ( z) =1
µ(r) + z
−1
− z
ζ (K ,µ ) =µ
6
9K + 8µ
K + 2µ
Here we see that a mixture of calcite and water gives widely spacedbounds, but a mixture of calcite and dolomite gives very narrow bounds.
Distance between bounds depends on similarity/difference of end-member constituents.
139Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
G13
Wyllie Time Average
1
2
3
d1
d2
d3
D
Wyllie et al. (1956, 1958, 1962) found that travel time through water saturated
consolidated rocks could be approximately described as the volume weighted
average of the travel time through the constituents:
t =D
V
140Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
3d3
t = t1 + t2 + t3
D
V=
d1
V1
+d2
V2
+d3
V3
1
V=
d1 / D
V1
+d2 / D
V2
+d3 / D
V3
1
V=
f1
V1
+f2
V2
+f3
V3
Limitations:
• rock is isotropic• rock must be fluid-saturated• rock should be at high effective pressure• works best with primary porosity
Wyllie’s generally works best for
• water-saturated rocks
• consolidated rocks
• high effective pressures
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• works best with primary porosity• works best at intermediate porosity• must be careful of mixed mineralogy (clay)
The time-average equation is heuristic and cannot be justified theoretically. It is based on ray theory which requires that (1) the wavelength is smaller than the grain and pore size, and (2) the minerals and pores are arranged in flat layers.
Note the problem for shear waves where one of the phases is a fluid, Vs-fluid → 0!
Modification of Wyllie's proposed by Raymer
V = (1−φ)2Vmineral+φVfluid
1
ρV 2 =φ
ρfluidVfluid
2 +1−φ
ρmineralVmineral
2
1 0.47−φ 1 φ −0.37 1
φ < 37%
φ > 47%
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Still a strictly empirical relation.
This relation recognizes that at large porosities (φ > 47%) the sediment behaves
as a suspension, with the Reuss average of the P-wave modulus, M = ρVp2.
1
V=
0.47−φ
0.10
1
V37
+φ −0.37
0.10
1
V47
37% < φ < 47%
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Comparison of Wyllie's time average equationand the Raymer equations with Marion's compilation of shaly-sand velocities from Hamilton (1956), Yin et al. (1988), Han et al. 1986).
Backus Average for Thinly Layered Media
Backus (1962) showed that in the long wavelength limit a stratified medium
made up of thin layers is effectively anisotropic. It becomes transversely
isotropic, with symmetry axis normal to the strata. The elastic constants (see
next page) are given by:
whereA =
4µ(λ + µ)+
1−1
λ2
M =1
2A − B( )
A B F 0 0 0
B A F 0 0 0
F F C 0 0 0
0 0 0 D 0 0
0 0 0 0 D 0
0 0 0 0 0 M
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where
are the isotropic elastic constants of the individual layers. The brackets
indicate averages of the enclosed properties, weighted by their volumetric
proportions. This is often called the Backus average.
A =4µ(λ + µ)
λ + 2µ+
1
λ + 2µ
λ
λ + 2µ
B =2µλ
λ + 2µ+
1
λ + 2µ
−1
λ
λ + 2µ
2
C =1
λ + 2µ
−1
F =1
λ + 2µ
−1
λ
λ + 2µ
D =1
µ
−1
M = µ
λλλλ, µµµµ
Hooke’s law relating stress and strain in a linear elastic
medium can be written as
elastic stiffnesses (moduli) elastic compliances
A standard shorthand is to write the stress and strain as
vectors:
σ ij = c ijkl εklΣkl
ε ij = S ijkl σ klΣkl
T =
σ 1= σ 11
σ 2= σ 22
σ 3= σ 33
σ 4= σ 23
σ 5= σ 13
E =
e1= ε11
e2= ε22
e3= ε33
e4=2ε23
e =2ε
Note the factor of 2 in the
definition of strains.
145Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
The elastic constants are similarly written in
abreviated form, and the Backus average constants shown on the previous
page now have the meaning:
σ 5= σ 13
σ 6= σ 12
e5=2ε13
e6=2ε12
σ 1
σ 2
σ 3
σ 4
σ 5
σ 6
=
A B F 0 0 0B A F 0 0 0F F C 0 0 00 0 0 D 0 00 0 0 0 D 00 0 0 0 0 M
e1
e2
e3
e4
e5
e6
Seismic Fluid Substitution
Pore fluids, pore stiffness,
and their interaction
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Typical Problem: Analyze how rock properties, logs, and seismic change, when pore fluids change.
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Example: We observe Vp, Vs, and density at a well and compute a synthetic seismic trace, as usual. Predict how the seismic will change if the fluid changes -- either over time at the same position, or if we move laterally away from the well and encounter different fluids in roughly the same rocks.
Gassmann to predict 4D changes
Initial
??
After
production
Can we predict signature of
saturation changes?
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Gassmann to predict lateral variations
??
Can we predict
signature of oil?
Well penetrates wet
sand
Effective moduli for specific pore and grain geometries
Imagine a single linear elastic body. We do two separate experiments--apply
stresses σ1 and observe displacements u1, then apply stresses σ2 and observe
displacements u2.
The Betti-Rayleigh reciprocity theorem states that the work done by the first set
of forces acting through the second set of displacements is equal to the work
done by the second set of forces acting through the first set of displacements.
σij(1), u(1) σij
(2), u(2)
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∆σ ∆σ
Estimate of Dry Compressibility
∆σ
∆σ
∆σ∆σ∆σ∆σ
∆σ∆σ∆σ∆σ
∆σ∆σ∆σ∆σ
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Applying the reciprocity theorem we can write:
Assumptions• minerals behave elastically• friction and viscosity not important• assumes a single average mineral
limit as
∆σ∆σVbulk
K dry
− ∆σ∆Vpore =∆σ∆σVbulk
K mineral
1
Kdry
=1
Kmineral
+1
Vbulk
∂Vpore
∂σ
∆σ → 0
Relation of Rock Moduli to Pore Space Compressibility -- Dry Rock
A fairly general and rigorous relation between dry rock
bulk modulus and porosity is
is the pore space stiffness. This is a new concept
that quantifies the stiffness of a pore shape.
where 1
K dry
= 1K mineral
+φ
K φ
K φ
σφ ∂
∂=
pore
pore
v
vK
11
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What is a “Dry Rock”?
Many rock models incorporate the concept of a dry rock or the dry rock frame.
This includes the work by Biot, Gassmann, Kuster and Toksoz, etc, etc.
Caution: “Dry rock” is not the same as gas-saturated rock. The dry frame
modulus in these models refers to the incremental bulk deformation resulting from
an increment of applied confining pressure, with pore pressure held constant.
This corresponds to a “drained” experiment in which pore fluids can flow freely in
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This corresponds to a “drained” experiment in which pore fluids can flow freely in
or out of the sample to insure constant pore pressure. Alternatively, it can
correspond to an undrained experiment in which the pore fluid has zero bulk
modulus, so that pore compressions do not induce changes in pore pressure –
this is approximately the case for an air-filled sample at standard temperature and
pressure. However, at reservoir conditions (high pore pressure), gas takes on a
non-negligible bulk modulus, and should be treated as a saturating fluid.
Relation of Rock Moduli to Pore Space Compressibility -- Saturated Rock
A similar general relation between saturated rock bulk modulus and porosity is
1K sat
= 1K mineral
+φ
K φ
K φ = K φ +
K mineral K fluid
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where Pore spacecompressibilitymodified by fluids.
So we see that changing the pore fluid has the effect of changing the pore space
compressibility of the rock. The fluid modulus term is always just added to
K φ = K φ + mineral fluid
K mineral – K fluid
≈ K φ + K fluid
When we have a stiff rock with high velocity, then its value of is large, and
changes in do not have much effect. But a soft rock with small velocity will
have a small and changes in will have a much larger effect.
K φ
K φ K fluid
K fluid
K φ
Gassmann's Relations
These are Transformations! Pore space geometry and stiffness are incorporated automatically by measurements of Vp, Vs. Gassmann (1951) derived this general relation between the dry rock moduli and the saturated rock moduli. It is quite general and valid for all pore
Ksat
Kmineral − Ksat
=Kdry
Kmineral − Kdry
+K fluid
φ Kmineral − Kfluid( )
1
µsat
=1
µdry
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the saturated rock moduli. It is quite general and valid for all pore geometries, but there are several important assumptions:
• the rock is isotropic
• the mineral moduli are homogeneous
• the frequency is low
“Dry rock” is not the same as gas saturated rock.
Be careful of high frequencies, high viscosity, clay.
Useful for Fluid Substitution problem:
gas
oilwater
Some Other Forms of Gassmann
K sat =
φ 1Kmin
– 1K fluid
+ 1K min
– 1Kdry
φKdry
1Kmin
– 1K fluid
+ 1Kmin
1K min
– 1Kdry
K sat = K dry +
1 –K dry
Kmin
2
φK fluid
+1 – φK min
–K dry
Kmin2
155Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Kdry Kmin K fluid Kmin K min Kdry
1K sat
= 1Kmin
+φ
K φ +K minK fluid
K min – K fluid
K dry =
K sat
φK min
K fluid
+ 1 – φ – Kmin
φKmin
K fluid
+K sat
K min
– 1 – φ
1. Begin with measured velocities and density
2. Extract Moduli from Velocities measured with fluid 1:
3. Transform the bulk modulus using Gassmann
where K1, K2 are dynamic rock moduli with fluids 1, 2
Fluid Substitution Recipe
K2
Kmin − K2
−K fl 2
φ K min − K fl 2( )=
K1
Kmin − K1
−K fl 1
φ Kmin − Kfl 1( )
VP−1, VS−1, ρ1
K1 = ρ1 VP−1
2 −4
3VS−1
2
µ1 = ρ1VS−1
2
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where K1, K2 are dynamic rock moduli with fluids 1, 2
bulk moduli of fluids 1, 2
density of rock with fluids 1, 2
mineral modulus and porosity
density of fluids 1, 2
4. µ2 = µ1 shear modulus stays the same
5. Transform density
6. Reassemble the velocities VP =K2 +
4
3µ 2
ρ2
VS =µ2
ρ2
K fl 1,K fl 2
ρ1,ρ2
Kmin,φ
ρfl 1,ρfl 2
ρ2 = 1− φ( )ρmin +φρfl 2 = ρ1 +φ ρfl 2 − ρfl 1( )
2.25
2.3
2.35
2.4
2.45V
p (
km
/s)
sandstoneporosity = 30%
patchy
homogeneous
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2.15
2.2
2.25
0 0.2 0.4 0.6 0.8 1
Vp
(k
m/s
)
Oil Saturation
homogeneous
KVoigt = SwKw + SoKo + SgKg
Summary of Mixing Rules
K
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1 / KReuss = Sw / Kw + So / Ko + Sg / Kg
KBrie = K liquid − Kg( )1− Sg( )e
+ Kg
Brie, et al.SPE�30595
K
Why is the shear modulus unaffected by fluids in
Gassmann’s relations?
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Imagine first an isotropic sample of rock with a hypothetical spherical pore. Under “pure shear” loading there is no volume change of the rock sample or the pore -- only shape changes. Since it is easy tochange the shape of a fluid, the rock stiffness is not affected by the type of fluid in the pore.
Why do the Gassmann relations
only work at low frequencies?
This crack decreases involume. Its pore pressurelocally increases if the fluid cannot flow out of the crack.
This crack increases in
+∆Pp
-∆Pp
160Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Imagine an isotropic sample of rock with cracks at all orientations. Under “pure shear” loading there is no volume change of the rock sample or the pore space, because some cracks open while others close. If the frequency is too high, there is a tendency for local pore pressures to increase in some pores and decrease in others: hence the rock stiffness depends on the fluid compressibility.However, if the frequency is low enough, the fluid has time to flow and adjust: there is no net pore volume change and therefore the rock stiffness is independent of the fluids.
This crack increases involume. Its pore pressurelocally decreases if the fluidcannot flow into the crack.
Graphical Interpretation of Gassmann's Relations
1. Plot known effective modulus K, with initial fluid.
2. Compute change in fluid term:
3. Jump vertically up or down that number of contours.
Example: for quartz and water ~ 3 contours.
∆KmineralK fluid
Kmineral − K fluid
≈ ∆Kfluid
∆Kfluid
Kmineral
= 0.6
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C
C‘
Approximate Gassmann Relationwhen Shear Velocity is Unknown
Normally, to apply Gassmann's relations, we need to know both Vp and Vs so that we can extract the bulk and shear moduli:
and then compute the change of bulk modulus with fluids using the usual expression:
K1 = ρ VP
2−
4
3VS
2
µ1 = ρVS
2
Ksat
Kmineral − Ksat
=Kdry
Kmineral − Kdry
+K fluid
φ Kmineral − Kfluid( )
162Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
The problem is that we usually don't know Vs.
One approach is to guess Vs, and then proceed.
We have also found that a reasonably good approximation to Gassmann is
where M is the P-wave modulus:
mineral sat mineral dry mineral fluid( )
M = ρVp
2
Msat
Mmineral− Msat
≈Mdry
Mmineral − Mdry
+Mfluid
φ Mmineral − Mfluid( )
Approximate Gassmann RelationWhen Shear Velocity is Unknown
satu
rate
d,
Fro
m A
ppro
xim
ate
Gassm
ann
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Predictions of saturated rock Vp from dry rock Vp are virtually the same for the approximate and exact forms of Gassmann’s relations.
Vp-saturated, From Gassmann Vp-s
atu
rate
d,
Fro
m A
ppro
xim
ate
Gassm
ann
Gassmann's is a Low Frequency Relation
164Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
It is important to remember that Gassmann’s relations assume low frequencies.
Measured ultrasonic Vp in saturated rocks is almost always faster than
saturated Vp predicted from dry rock Vp using Gassmann. Data here are for
shaly sandstones (Han, 1986).
Water Flood Example: Pore PressureIncrease and Change From Oil to Brine
1250
Brine Flood into Oil
de
pth
(m
)
Pressure
oil to water
One typical depth point
(laboratory)
165Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Calculated using Gassmann via dry lab data from Troll (Blangy, 1992). Virgin condition taken as low frequency, oil saturated at Peff=30 Mpa Pressure drop to Peff=10 MPa, then fluid substitution to brine.Koil = 1., Kbrine = 2.2
G.12
2 2.5
1300
1350
Vp (km/s)
de
pth
(m
)
oil to water
original oil
oil atincreased Pp
brine atincreased Pp • effect of pressure on frame
• effect of pressure on fluids
• frame+fluid: fluid substitution
Gas Flood Example: Pore PressureIncrease and Change From Oil to Gas
1250
1300
Brine Flood into Oil
dep
th (
m)
Pressure
oil to water
One typical depth point
166Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Calculated using Gassmann from dry lab data from Troll (Blangy, 1992). Virgin condition taken as low frequency, oil saturated at Peff=30 MPa. Pressure drop to Peff=10 MPa, then fluid substitution to gas.Koil = 1., Kbrine = 2.2
• effect of pressure on frame
• effect of pressure on fluids
• frame+fluid: fluid substitution
2 2.5
1300
1350
Vp (km/s)
dep
th (
m)
original oil
oil atincreased Pp
brine atincreased Pp
G.12
Brine Flood Example: Pore PressureDecrease and Change From Oil to Brine
1250
1300
Brine Flood with Pressure Decline
dep
th (
m)
One typical depth point
167Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Calculated using Gassmann from dry lab data from Troll (Blangy, 1992). Virgin condition taken as low frequency, oil saturated at Peff=25 MPa. Pore pressure drop to Peff=30 MPa, then fluid substitution to brine. Koil = 1., Kbrine = 2.2
1.8 2.4 3
1300
1350
Vp (km/s)
dep
th (
m)
original oil
oil atdecreased Pp
brine atdecreased Pp
frame effectdecreased Peff
Stiff, Turbidite Sand, Heavy Oil, Water Flood with Pp Increase
168Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji Stiff,deepwater sand, heavy oil (API20,GOR=15, T=75,Pp=18->25, Sw=.3->.8)
Fluid Substitution in Anisotropic Rocks: Brown and
Korringa’s Relations
where
effective elastic compliance tensor of dry rock
effective elastic compliance tensor of rock saturated with pore fluid
Sijkl
(dry)− Sijkl
(sat )=
Sijαα(dry) − Sijαα
0( )Sklαα(dry) − Sklαα
0( )Sααββ
(dry)− Sααββ
0( )+ βfl − β 0( )φ
Sijkl
(dry )
Sijkl
(sat )
169Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
effective elastic compliance tensor of mineral
compressibility of pore fluid
compressibility of mineral material =
porosity
This is analogous to Gassmann’s relations. To apply it, one must measure
enough velocities to extract the full tensor of elastic constants. Then invert these
for the compliances, and apply the relation as shown.
Sijkl
0
β fl
β0
φ
Sααββ
0
Challenge of Reactive Fluid Substitution
Images show changes in the rock frame after CO2 injection. Gassmann’s equations assume that the frame remains unchanged.
170Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Noiriel, 2005
Laboratory Data vs. Gassmann’s Predicted Moduli
Pure Elastic Systems, Low Frequency, no rock-fluid reactions
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Factors Influencing Reactions in Carbonates
a) The properties of the sediment itself
- Mineralogy
- Grain size
- Texture
- Permeability
- Surface area
2CaCO3 + Mg2+ CaMg(CO3)2 + Ca2+
[Mg2+] [CaCO ]2
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- Surface area
b) The properties of the pore-fluid
- salinity
- Mg/Ca ratio
- SO4-2
- HCO3-
Kcd=[Mg2+]
[Ca2+]
[CaCO3]2
[CaMg(CO3)2]
Kcd=[Mg2+]
[Ca2+]
Factors Influencing Reactions in Carbonates
a) The properties of the sediment itself
- Mineralogy
- Grain size
- Texture
- Permeability
- Surface area
173Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
- Surface area
b) The properties of the pore-fluid
- salinity
- Mg/Ca ratio
- SO4-2
- HCO3-
Kcd= 0.67 - SPT conditions
The properties of the pore-fluid
- Mg/Ca ratio
- SO4-2
- HCO3-
Case A
Factors Influencing Reactions in Carbonates
174Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
CO2 injection Calcite dissolution
Case A
Case C
Gypsum dissolution dolomite dissolution
de-dolomitation driven by Gypsum dissolution
Case B
Transformation Anhydrite ⇒ Gypsum
Tucker et al., 1990
Factors Influencing Reactions in Carbonates
175Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Dissolution and mineral transformation affect the elastic moduli in a way that opposes the
high-frequency dispersion mechanisms. Thus, Gassmann fluid substitution may either
overestimate or fit high-frequency, saturated velocities, depending on the balancing of
chemical processes against dispersion mechanisms.
Bounding Average Method (BAM)
176Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Marion (1990) discovered a simple, semi-empirical way to solve the fluid substitution problem. The Hashin-Shtrikman bounds define the range of velocities possible for a given volume mix of two phases, either liquid or solid. The vertical position within the bounds, d/D, is a measure of the relative geometry of the two phases. For a given rock, the bounds can be computed for any two pore phases, 0 and 1. If we assume that d/D remains constant with a change of fluids, then a measured velocity with one fluid will determine d/D, which can be used to predict the velocity relative to the bounds for any other pore phase.
An Example of the Bam Method. The wax saturated
velocities are predicted from the dry rock velocities.
3600
3800
4000
4200
Massillon Light Sandstone
P-V
elo
cit
y (
m/s
)
measured parowax
177Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Velocity in Massilon sandstone saturated with parowax. Data from Wang (1988). Wax saturated velocities were predicted using BAM, from Wang's measured velocities in the dry rock and in wax (from Marion, 1990)
G.82800
3000
3200
3400
0 20 40 60 80 100 120 140
P-V
elo
cit
y (
m/s
)
Temperature ( °°°°C)
BAMcalculatedparowax
measured dry
178Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Velocity in dry and saturated Westerly granite. Data from Nur and Simmons (1969). Saturated velocities were predicted using BAM, from measured velocities in the dry rock (from Marion, 1990)
G.9
Ellipsoidal Models for Pore Deformation
Most deterministic models for effective moduli assume a specific
Recall the general expression for the dry rock modulus:
Gassmann’s relation is a transformation, allowing us to predict how measured velocities are perturbed by changing the pore fluid. Now wediscuss a different approach in which we try to model the moduli “from scratch”.
1K dry
= 1K mineral
+φ
K φ
179Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Most deterministic models for effective moduli assume a specific idealized pore geometry in order to estimate the pore space compressibility:
The usual one is a 2-dimensional or 3-dimensional ellipsoidal inclusion or pore.
The quantity α = b/c is called the aspect ratio.
bc
σφ ∂
∂=
pore
pore
v
vK
11
Estimating the Dry Rock Modulus
An externally applied compression tends to narrow the crack, with the faces displacing toward each other.
bc
σ
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Mathematicians have worked out in great detail the 3-D deformation field U, of an oblate spheroid (penny-shaped crack) under applied stress. For example, the displacement of the crack face is:
We can easily integrate to get the pore volume change and the dry modulus:
σ
1
K dry
= 1K mineral
+16 1 – ν 2
9 1 – 2ν1
K mineral
Nc 3
Vbulk
U(r) = σc
K mineral
4 1 – ν 2
3π 1 – 2ν1 – r
c2
Dry Rock Bulk Modulus
1
Kdry
=1
Kmineral
+16 1− v
2( )9 1− 2v( )
1
Kmineral
Nc 3
Vbulk
1
Kdry
=1
Kmineral
1 +16 1− v2( )9 1− 2v( )
Nc3
Vbulk
1
Kdry
=1
Kmineral
1 +16 1− v
2( )9 1− 2v( )
∈
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"Crack density parameter"
Modulus depends directly on crack density. Crack geometry or stiffness must be specified to get a dependence on porosity.
∈=N
Vbulk
c3
≈φ
α
3
4π
Crack Density Parameter
In these and other theories we often encounter the quantity:
This is called the Crack Density Parameter, and has the interpretation of the
number of cracks per unit volume.
Example: 2 cracks per small cell. Each crack about 2/3 the length of a cell.
ε =Nc
3
Vbulk
182Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
L2c
v = L3
ε =c
L
3
≈ 0.07
Distribution of Aspect Ratios
Modulus depends on the number of cracks and their average lengths
An idealized ellipsoidal crack will close when the amount of deformation equals the original crack width:
1
Kdry
=1
Kmineral
+16 1− v2( )
9Kmineral 1− 2v( )Nc
3
Vbulk
U = b
183Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
solving gives:
We generally model rocks as having a distribution of cracks with different aspect ratios. As the pressure is increased, more and more of them close, causing the rock to become stiffer.
U = b
σclose ≈αKmineral
3π
4
1− 2v( )1− v
2( )≈αKmineral
Kuster and Toksöz (1974)
fmorulation based on long-
wavelength, first order scattering
theory (non self-consistent)
KKT
*− Km( )
Km +4
3µm
KKT
* +4
3µm
= xi
i =1
N
∑ Ki − Km( )Pmi
µKT
*− µm( )
µm +ζ m( )µKT
*+ζ m( )
= xi
i=1
N
∑ µ i − µm( )Qmi
ζ =µ
6
9K + 8µ( )K + 2µ( )
184Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Self-Consistent Embedding Approximation
Walsh's expression for the moduli in terms of the pore compressibility is fairly general. However attempts to estimate the actual pore compressibility are often based on single, isolated pores.
1
Kdry
=1
Kmineral
+16 1− v2( )
9Kmineral 1− 2v( )Nc
3
Vbulk
185Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
The self-consistent approach uses a single porein a medium with the effective modulus.
Solving for Kdry gives:
Kdry Kmineral 9Kmineral 1− 2v( ) Vbulk
1
Kdry
=1
Kmineral
+16 1− v 2( )
9Kdry 1− 2v( )Nc
3
Vbulk
Kdry = Kmineral 1−16 1− v2( )9 1− 2v( )
Nc3
Vbulk
Self-Consistent Approximations
O’Connell and Budiansky (1974) model for medium with randomly oriented thin dry cracks
KSC
*
K=1−
16
9
1− vSC
*2
1− 2vSC
*
ε
µSC
*
µ= 1−
32
45
1− vSC
*( ) 5 − vSC
*( )2 − vSC
*( )ε
45 v − v*( ) 2 − v
*( )
186Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
K and µ are the bulk and shear moduli of the uncracked medium, ν is the Poisson’s ratio, and ε is the crack density parameter. The calculations are simplified by the approximation:
Assumes small aspect ratios (α → 0).
ε =45
16
v − vSC
*( ) 2 − vSC
*( )1− vSC
*2( )10v − 3vvSC
* − vSC
*( )
vSC
*≈ v 1−
16
9ε
Self-Consistent Approximations
Berryman’s (1980) model for N-phase composites
coupled equations solved by simultaneous iteration
xi K i − K*( )P
*i
i=1
N
∑ = 0
xi
i=1
N
∑ µ i − µ*( )Q*i= 0
187Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
188Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Comparison of Han's (1986) sandstone data with models of idealized pore shapes. At high pressure (40-50 MPa), there seems to be some equivalent pore shape that is more compliant than any of the convex circular or spherical models.
189Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
Comparison of self-consistent elliptical crack models with carbonate data. The rocks with stiffer pore shapes are fit best by spherical pore models, while the rocks with thinner, more crack-like pores are fitbest by lower aspect ratio ellipsoids.
Data from Anselmetti and Eberli., 1997, in Carbonate Seismology, SEG.
Differential Effective Medium
ModelThe differential effective medium (DEM) theory models two-phase composites by incrementally adding inclusions of one phase (phase 2) to the matrix phase
d
190Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
(*2)
2
(*2)
2
(1 ) [ *( )] ( *) ( )
(1 ) [ *( )] ( *) ( )
dy K y K K P y
dy
dy y Q y
dyµ µ µ
− = −
− = −
Coupled differential equations with initial conditions K*(0) = K1 and µ*(0) = µ1, where
K1, µ1 = bulk and shear moduli of the initial host material (phase 1)
K2, µ2 = bulk and shear moduli of the incrementally added inclusions (phase 2)
y = concentration of phase 2
Differential Effective Medium
ModelThe differential effective medium (DEM) theory models two-phase composites by incrementally adding inclusions of one phase (phase 2) to the matrix phase
191Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
25
30
35
40
K (Bulk m
odulus, G
Pa)
Differential Effective Medium
Model
192Stanford Rock Physics Laboratory - Gary Mavko & Tapan Mukerji
0 0.2 0.4 0.6 0.8 10
5
10
15
20
porosity
K (Bulk m
odulus, G
Pa)