Effective Medium Theories Effective Medium Models

Size: px
Start display at page:

Download "Effective Medium Theories Effective Medium Models"

Transcription

1 Effective Medium Models 3

2 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 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! 4

3 Voigt and Reuss Bounds On a strictly empirical basis one can imagine defining a power law average of the constituents M α = f M α + f 2 M 2 α + f 3 M 3 α +... where M M i f i = the effective modulus of the composite = the modulus of the ith constituent = the volume fraction of the ith constituent α = a constant, generally between - and + Special cases are the Voigt average (an upper bound): K V = f Q K Q + f F K F + f C K C... + f W K W + f O K O + f G K G µ V = f Q µ Q + f F µ F + f C µ C... + f W µ W + f O µ O + f G µ G and the Reuss average (a lower bound): K R = f Q K Q + f F K F + f C K C...+ f W K W + f O K O + f G K G µ R = f Q µ Q + f F µ F + f C µ C...+ f W µ W + f O µ O + f G µ G 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: M VRH = M V + M R 2 5

4 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: E ˆ σ = ˆ ˆ ε = ˆ E = Voigt iso-strain model f i E i f i σ i ˆ ε = f i ( ˆ ε E i ) ˆ ε Reuss iso-stress model E ˆ σ = ˆ ˆ ε = σ ˆ f i ε = σ ˆ i σ f i ( ˆ ) E i E = Since the Reuss average describes an isostress situation, it applies perfectly to suspensions and fluid mixtures. ˆ f i Ei 6

5 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 (956), Yin et al. (988), Han et al. (986). Compiled by Marion, D., 990, Ph.D. dissertation, Stanford Univ. 7

6 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: f K HS ± = K + 2 ( K 2 K ) + f K µ µ HS± = µ + ( µ 2 µ ) + 2 f (K + 2µ ) 5µ K µ where subscript = shell, 2 = sphere. f and f 2 are volume fractions. These give upper bounds when stiff material is K, µ (shell) and lower bounds when soft material is K, µ. f 2 Interpretation of bulk modulus: 8

7 Hashin-Shtrikman Bounds A more general form that applies when more than two phases are being mixed (Berryman, 993): K HS + =Λ(µ max ), K HS =Λ(µ min ) ( ), µ HS =Γζ K min,µ min µ HS+ =Γζ( K max,,µ ) max ( ) ( ) where Λ(z) = K(r) z 4 3 z Γ(z) = ζ(k,µ) = µ 6 µ(r) + z indicates volume average over the spatially varying K(r), µ(r) of the constituents. z 9K + 8µ K + 2µ 9

8 Distance between bounds depends on similarity/difference of end-member constituents. Here we see that a mixture of calcite and water gives widely spaced bounds, but a mixture of calcite and dolomite gives very narrow bounds. G3 20

9 Wyllie Time Average Wyllie et al. (956, 958, 962) 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: d d 2 2 D t = D V d 3 3 t = t + t 2 + t 3 D V = d + d 2 + d 3 V V 2 V 3 V = d / D + d 2 / D V V 2 V = f + f 2 + f 3 V V 2 V 3 + d 3 / D V 3 2

10 Wyllie s generally works best for water-saturated rocks consolidated rocks high effective pressures Limitations: rock is isotropic rock must be fluid-saturated rock should be at high effective pressure 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 () 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, V s-fluid 0! 22

11 Modification of Wyllie's proposed by Raymer V = ( φ) 2 V mineral + φv fluid φ φ = ρv ρ fluid V fluid ρ mineral V mineral 0.47 φ = + φ 0.37 V 0.0 V V 47 φ < 37% φ > 47% 37% < φ < 47% 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 = ρvp 2. 23

12 G.3 Comparison of Wyllie's time average equationand the Raymer equations with Marion's compilation of shaly-sand velocities from Hamilton (956), Yin et al. (988), Han et al. 986). 24

13 Backus Average for Thinly Layered Media Backus (962) 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: where A B F B A F F F C D D M A = B = C = F = D = µ M = µ 4µ(λ + µ) λ + 2µ + λ + 2µ 2µλ λ + 2µ + λ + 2µ λ + 2µ λ + 2µ λ λ + 2µ λ, µ 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. M = 2 ( A B) λ λ + 2µ λ λ + 2µ

14 Hooke s law relating stress and strain in a linear elastic medium can be written as σ ij = Σ c ijkl ε kl ε ij = S ijkl σ kl kl elastic stiffnesses (moduli) elastic compliances A standard shorthand is to write the stress and strain as vectors: σ = σ e = ε σ 2 = σ 22 e 2 = ε 22 σ T = 3 = σ 33 e σ 4 = σ E = 3 = ε e 4 =2ε 23 σ 5 = σ 3 e σ 6 = σ 5 =2ε 3 2 e 6 =2ε 2 Note the factor of 2 in the definition of strains. The elastic constants are similarly written in abreviated form, and the Backus average constants shown on the previous page now have the meaning: Σ kl σ σ 2 σ 3 σ 4 σ 5 σ 6 = A B F B A F F F C D D M e e 2 e 3 e 4 e 5 e 6 26

15 Seismic Fluid Substitution Pore fluids, pore stiffness, and their interaction 27

16 Typical Problem: Analyze how rock properties, logs, and seismic change, when pore fluids change. 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. 28

17 Effective moduli for specific pore and grain geometries Imagine a single linear elastic body. We do two separate experiments--apply stresses σ and observe displacements u, then apply stresses σ 2 and observe displacements u 2. 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. σ ij (), u () σ ij (2), u (2) σ σ 29

18 Estimate of Dry Compressibility σ σ σ σ σ Applying the reciprocity theorem we can write: limit as σ σv bulk K dry σ 0 K dry = σ V pore = σ σv bulk K mineral + V pore K mineral V bulk σ Assumptions minerals behave elastically friction and viscosity not important assumes a single average mineral 30

19 Relation of Rock Moduli to Pore Space Compressibility -- Dry Rock A fairly general and rigorous relation between dry rock bulk modulus and porosity is = + φ K where = dry K mineral K φ K φ σ v pore v pore K φ is the pore space stiffness. This is a new concept that quantifies the stiffness of a pore shape. G.4 3

20 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 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. 32

21 Relation of Rock Moduli to Pore Space Compressibility -- Saturated Rock A similar general relation between saturated rock bulk modulus and porosity is = + φ K sat K mineral K φ where K φ = K φ + K φ + K fluid K mineralk fluid K mineral K fluid Pore space compressibility modified 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 When we have a stiff rock with high velocity, then its value of K φ is large, and changes in K fluid 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 fluid 33

22 Gassmann's Relations K sat K mineral K sat = K dry K mineral K dry + = µ sat µ dry These are Transformations! Pore space geometry and stiffness are incorporated automatically by measurements of Vp, Vs. Gassmann (95) derived this general relation between the dry rock moduli and 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 K fluid ( ) φ K mineral K fluid water oil 34

23 Some Other Forms of Gassmann K sat = K dry + K dry K min φ + φ K dry K fluid K 2 min 2 K min K sat = φ + K min K fluid K min K dry φ + K dry K min K fluid K min K min K dry K sat = K min + K φ + φ K min K fluid K min K fluid K dry = K sat φk min + φ K K min fluid φk min + K sat φ K fluid K min 35

24 Fluid Substitution Recipe. Begin with measured velocities and density V p,v S,ρ 2. Extract Moduli from Velocities measured with fluid : K = ρ V 2 P 4 3 V 2 S, 2 µ = ρv S 3. Transform the bulk modulus using Gassmann K 2 K min K 2 K fl 2 ( ) = K φ K min K fl 2 K min K K fl ( ) φ K min K fl where K, K 2 are dynamic rock moduli with fluids, 2 K fl,k fl 2 ρ,ρ 2 K min,φ ρ fl,ρ fl 2 bulk moduli of fluids, 2 density of rock with fluids, 2 mineral modulus and porosity density of fluids, 2 4. µ 2 = µ shear modulus stays the same 5. Transform density ρ 2 = ( φ)ρ min +φρ fl 2 = ρ +φρ fl 2 ρ fl 6. Reassemble the velocities ( ) V P = K µ 2 V S = µ 2 ρ ρ

25 Why is the shear modulus unaffected by fluids in Gassmann s relations? 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 to change the shape of a fluid, the rock stiffness is not affected by the type of fluid in the pore. 37

26 Why do the Gassmann relations only work at low frequencies? This crack decreases in volume. Its pore pressure locally increases if the fluid cannot flow out of the crack. + P p - P p This crack increases in volume. Its pore pressure locally decreases if the fluid cannot flow into the crack. 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. 38

27 Graphical Interpretation of Gassmann's Relations. Plot known effective modulus K, with initial fluid. 2. Compute change in fluid term: K K mineral fluid K mineral K fluid K fluid 3. Jump vertically up or down that number of contours. Example: for quartz and water K fluid K mineral = 0.6 ~ 3 contours. C C G.6 39

28 Graphical Interpretation of Gassmann's Relations. Plot the known modulus with initial fluid (point A). 2. Identify Reuss averages for initial and final fluids. 3. Draw straight line through through A to initial Reuss curve. 4. Move up or down to new Reuss Curve and draw new straight line. 5. Read modulus with new fluid (point A'). G.7 40

29 Approximate Gassmann Relation when 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: K = ρ V 2 P 4 3 V 2 S µ = ρv S 2 and then compute the change of bulk modulus with fluids using the usual expression: K sat K mineral K sat = K dry K mineral K dry + K fluid ( ) φ K mineral K fluid 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 M sat M mineral M sat M dry M mineral M dry + M fluid ( ) φ M mineral M fluid where M is the P-wave modulus: M = ρv p 2 4

30 Vp-saturated, From Approximate Gassmann Approximate Gassmann Relation When Shear Velocity is Unknown Vp-saturated, From Gassmann Predictions of saturated rock Vp from dry rock Vp are virtually the same for the approximate and exact forms of Gassmann s relations. 42

31 Gassmann's is a Low Frequency Relation 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, 986). 43

32 250 Water Flood Example: Pore Pressure Increase and Change From Oil to Brine Brine Flood into Oil One typical depth point Pressure (laboratory) depth (m) 300 oil to water G.2 brine at increased Pp oil at increased Pp Vp (km/s) original oil effect of pressure on frame effect of pressure on fluids frame+fluid: fluid substitution Calculated using Gassmann from dry lab data from Troll (Blangy, 992). Virgin condition taken as low frequency, oil saturated at Peff=30 MPa. Pressure drop to Peff=0 MPa, then fluid substitution to brine. Koil =., Kbrine =

33 Gas Flood Example: Pore Pressure Increase and Change From Oil to Gas 250 Gas Flood into Oil One typical depth point Pressure depth (m) 300 oil to gas oil at increased Pp G.2 gas at increased Pp original oil Vp (km/s) Calculated using Gassmann from dry lab data from Troll (Blangy, 992). Virgin condition taken as low frequency, oil saturated at Peff=30 MPa. Pressure drop to Peff=0 MPa, then fluid substitution to gas. Koil =., Kbrine =

34 Brine Flood Example: Pore Pressure Decrease and Change From Oil to Brine Brine Flood with Pressure Decline 250 One typical depth point depth (m) 300 original oil oil at decreased Pp brine at decreased Pp frame effect decreased Peff Vp (km/s) Calculated using Gassmann from dry lab data from Troll (Blangy, 992). 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 =., Kbrine =

35 Stiff, Turbidite Sand, Heavy Oil Water Flood with Pp Increase Stiff,deepwater sand, heavy oil (API20,GOR=5, T=75,Pp=8->25, Sw=.3->.8) 47

36 Stiff, Turbidite Sand, Light Oil Water Flood with Pp Increase Deepwater sand, Light oil (API35,GOR=200, T=75Peff=25->8,Pp=8->25, Sw=.3->.8) 48

37 where Fluid Substitution in Anisotropic Rocks: Brown and Korringa s Relations S (dry) ijkl S (sat) ijkl = S (dry) 0 (dry) 0 ijαα S ijαα S klαα ( (dry) 0 S ααββ S ααββ )+ ( β fl β 0 )φ (dry) S ijkl (sat) S ijkl 0 S ijkl β fl β 0 φ effective elastic compliance tensor of dry rock effective elastic compliance tensor of rock saturated with pore fluid effective elastic compliance tensor of mineral compressibility of pore fluid compressibility of mineral material = porosity ( ) S klαα ( ) 0 S ααββ 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. 49

38 Bounding Average Method (BAM) Marion (990) 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. 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. 50

39 An Example of the Bam Method. The wax saturated velocities are predicted from the dry rock velocities Massillon Light Sandstone 4000 measured parowax P-Velocity (m/s) BAM calculated parowax 3000 measured dry 2800 G Temperature ( C) Velocity in Massilon sandstone saturated with parowax. Data from Wang (988). Wax saturated velocities were predicted using BAM, from Wang's measured velocities in the dry rock and in wax (from Marion, 990) 5

40 G.9 Velocity in dry and saturated Westerly granite. Data from Nur and Simmons (969). Saturated velocities were predicted using BAM, from measured velocities in the dry rock (from Marion, 990) 52

41 Ellipsoidal Models for Pore Deformation Gassmann s relation is a transformation, allowing us to predict how measured velocities are perturbed by changing the pore fluid. Now we discuss a different approach in which we try to model the moduli from scratch. Recall the general expression for the dry rock modulus: = + φ K dry K mineral K φ Most deterministic models for effective moduli assume a specific idealized pore geometry in order to estimate the pore space compressibility: = v pore K φ v pore σ The usual one is a 2-dimensional or 3-dimensional ellipsoidal inclusion or pore. b c The quantity a = b/c is called the aspect ratio. 53

42 Estimating the Dry Rock Modulus An externally applied compression tends to narrow the crack, with the faces displacing toward each other. σ b c σ Mathematicians have worked out in great detail the 3- D deformation field U, of an oblate spheroid (pennyshaped crack) under applied stress. For example, the displacement of the crack face is: U(r) = σc 4 ν 2 K mineral 3π 2ν c r 2 We can easily integrate to get the pore volume change and the dry modulus: = + 6 ν 2 K dry K mineral 9 2ν K mineral Nc 3 V bulk 54

43 K dry = K dry = K dry = Dry Rock Bulk Modulus 2 6( v ) Nc 3 + K mineral 9 ( 2v ) K mineral V bulk 6( ) v2 + K mineral 9 ( 2v) Nc 3 V bulk 2 6( v ) + K mineral 9 ( 2v) "Crack density parameter" = N V bulk c 3 φ 3 α 4π Modulus depends directly on crack density. Crack geometry or stiffness must be specified to get a dependence on porosity. 55

44 Crack Density Parameter In these and other theories we often encounter the quantity: ε = Nc 3 V bulk 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. v = L 3 2c ε = c L 3 56 L 0.07

45 Distribution of Aspect Ratios Modulus depends on the number of cracks and their average lengths K dry = An idealized ellipsoidal crack will close when the amount of deformation equals the original crack width: solving gives: K mineral + ( ) 6 v 2 ( ) 9K mineral 2v U = b 3π σ close αk mineral 4 αk mineral ( 2v) v 2 ( ) Nc 3 V bulk 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. 57

46 Kuster and Toksöz (974) fmorulation based on longwavelength, first order scattering theory (non self-consistent) K m + 4 * 3 µ m N ( )P mi ( K KT K m ) * ( µ KT µ m ) * K KT µ m N ( µ m +ζ m ) * ( µ KT +ζ m ) = x i i= ζ = µ 6 = x i ( 9K + 8µ ) K + 2µ ( ) i = K i K m ( µ i µ m )Q mi 58

47 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. = K dry + K mineral The self-consistent approach uses a single pore in a medium with the effective modulus. K dry = K mineral + Solving for K dry gives: ( ) 6 v 2 ( ) 9K mineral 2v ( ) 6 v 2 ( ) 9K dry 2v Nc 3 V bulk Nc 3 V bulk K dry = K mineral ( ) 9 2v 6 v2 ( ) Nc 3 V bulk 59

48 Self-Consistent Approximations O Connell and Budiansky (974) model for medium with randomly oriented thin dry cracks * K SC K = 6 9 * µ SC µ ε = 45 6 = *2 v SC * ε 2v SC ( * v ) * SC 5 v SC ( ) ( ) * 2 v SC ( * v v )( * SC 2 v ) SC ( *2 v )( * * SC 0v 3vv SC v ) SC 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: * v SC v 6 9 ε Assumes small aspect ratios (α 0). ε 60

49 Self-Consistent Approximations Berryman s (980) model for N-phase composites N x i ( K i K * )P *i = 0 i= N x i µ i µ * i= ( )Q *i = 0 coupled equations solved by simultaneous iteration 6

50 Comparison of Han's (986) 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. 62

51 G4 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 fit best by lower aspect ratio ellipsoids. Data from Anselmetti and Eberli., 997, in Carbonate Seismology, SEG. 63

Sections Rock Physics Seminar Alejandra Rojas

Sections Rock Physics Seminar Alejandra Rojas Sections 1.1 1.3 Rock Physics Seminar Alejandra Rojas February 6 th, 2009 Outline Introduction Velocity Porosity relations for mapping porosity and facies Fluid substitution analysis 1.1 Introduction Discovering

More information

THE ROCK PHYSICS HANDBOOK

THE ROCK PHYSICS HANDBOOK THE ROCK PHYSICS HANDBOOK TOOLS FOR SEISMIC ANALYSIS IN POROUS MEDIA Gary Mavko Tapan Mukerji Jack Dvorkin Stanford University Stanford University Stanford University CAMBRIDGE UNIVERSITY PRESS CONTENTS

More information

A look into Gassmann s Equation

A look into Gassmann s Equation A look into Gassmann s Equation Nawras Al-Khateb, CHORUS Heavy Oil Consortium, Department of Geoscience, University of Calgary nawras.alkhateb@ucalgary.ca Summary By describing the influence of the pore

More information

McMAT 2007 Micromechanics of Materials Austin, Texas, June 3 7, 2007

McMAT 2007 Micromechanics of Materials Austin, Texas, June 3 7, 2007 McMAT 2007 Micromechanics of Materials Austin, Texas, June 3 7, 2007 RANDOM POLYCRYSTALS OF GRAINS WITH CRACKS: MODEL OF ELASTIC BEHAVIOR FOR FRACTURED SYSTEMS James G. Berryman Earth Sciences Division

More information

IDENTIFYING PATCHY SATURATION FROM WELL LOGS Short Note. / K s. + K f., G Dry. = G / ρ, (2)

IDENTIFYING PATCHY SATURATION FROM WELL LOGS Short Note. / K s. + K f., G Dry. = G / ρ, (2) IDENTIFYING PATCHY SATURATION FROM WELL LOGS Short Note JACK DVORKIN, DAN MOOS, JAMES PACKWOOD, AND AMOS NUR DEPARTMENT OF GEOPHYSICS, STANFORD UNIVERSITY January 5, 2001 INTRODUCTION Gassmann's (1951)

More information

Competing Effect of Pore Fluid and Texture -- Case Study

Competing Effect of Pore Fluid and Texture -- Case Study Competing Effect of Pore Fluid and Texture -- Case Study Depth (m) Sw Sxo. m Poisson's Ratio.. GOC.1 5 7 8 9 P-Impedance OWC 15 GR.. RHOB.5 1 Saturation...5. 1. 1.5 Vs (km/s).. Poisson's Ratio 5 7 P-Impedance

More information

Methane hydrate rock physics models for the Blake Outer Ridge

Methane hydrate rock physics models for the Blake Outer Ridge Stanford Exploration Project, Report 80, May 15, 2001, pages 1 307 Methane hydrate rock physics models for the Blake Outer Ridge Christine Ecker 1 ABSTRACT Seismic analyses of methane hydrate data from

More information

A Thesis. Presented to. the Faculty of the Department of Earth and Atmospheric Sciences. University of Houston. In Partial Fulfillment

A Thesis. Presented to. the Faculty of the Department of Earth and Atmospheric Sciences. University of Houston. In Partial Fulfillment METHODS OF FITTING COMPRESSIONAL AND SHEAR WAVE VELOCITIES VERSUS SATURATION CURVES AND THE INTERPRETATION OF LABORATORY VELOCITY MEASUREMENTS IN PARTIALLY SATURATED ROCKS ------------------------------------------------------------

More information

Some consideration about fluid substitution without shear wave velocity Fuyong Yan*, De-Hua Han, Rock Physics Lab, University of Houston

Some consideration about fluid substitution without shear wave velocity Fuyong Yan*, De-Hua Han, Rock Physics Lab, University of Houston ain enu Some consideration about fluid substitution without shear wave velocity Fuyong Yan*, De-Hua Han, Rock Physics Lab, University of Houston Summary When S-wave velocity is absent, approximate Gassmann

More information

Downloaded 08/30/13 to Redistribution subject to SEG license or copyright; see Terms of Use at

Downloaded 08/30/13 to Redistribution subject to SEG license or copyright; see Terms of Use at Modeling the effect of pores and cracks interactions on the effective elastic properties of fractured porous rocks Luanxiao Zhao*, De-hua Han, Qiuliang Yao and Fuyong Yan, University of Houston; Mosab

More information

Velocity porosity relationships: Predictive velocity model for cemented sands composed of multiple mineral phases

Velocity porosity relationships: Predictive velocity model for cemented sands composed of multiple mineral phases Geophysical Prospecting,,, 9 7 Velocity porosity relationships: Predictive velocity model for cemented sands composed of multiple mineral phases Mark A. Knackstedt,, Christoph H. Arns and W. Val Pinczewski

More information

SRC software. Rock physics modelling tools for analyzing and predicting geophysical reservoir properties

SRC software. Rock physics modelling tools for analyzing and predicting geophysical reservoir properties SRC software Rock physics modelling tools for analyzing and predicting geophysical reservoir properties Outline About SRC software. Introduction to rock modelling. Rock modelling program structure. Examples

More information

Velocity-porosity relationships, 1: Accurate velocity model for clean consolidated sandstones

Velocity-porosity relationships, 1: Accurate velocity model for clean consolidated sandstones GEOPHYSICS, VOL. 68, NO. 6 (NOVEMBER-DECEMBER 2003); P. 1822 1834, 16 FIGS., 1 TABLE. 10.1190/1.1635035 Velocity-porosity relationships, 1: Accurate velocity model for clean consolidated sandstones Mark

More information

Rock Physics Perturbational Modeling: Carbonate case study, an intracratonic basin Northwest/Saharan Africa

Rock Physics Perturbational Modeling: Carbonate case study, an intracratonic basin Northwest/Saharan Africa Rock Physics Perturbational Modeling: Carbonate case study, an intracratonic basin Northwest/Saharan Africa Franklin Ruiz, Carlos Cobos, Marcelo Benabentos, Beatriz Chacon, and Roberto Varade, Luis Gairifo,

More information

Uncertainties in rock pore compressibility and effects on time lapse seismic modeling An application to Norne field

Uncertainties in rock pore compressibility and effects on time lapse seismic modeling An application to Norne field Uncertainties in rock pore compressibility and effects on time lapse seismic modeling An application to Norne field Amit Suman and Tapan Mukerji Department of Energy Resources Engineering Stanford University

More information

P314 Anisotropic Elastic Modelling for Organic Shales

P314 Anisotropic Elastic Modelling for Organic Shales P314 Anisotropic Elastic Modelling for Organic Shales X. Wu* (British Geological Survey), M. Chapman (British Geological Survey), X.Y. Li (British Geological Survey) & H. Dai (British Geological Survey)

More information

Stress-induced transverse isotropy in rocks

Stress-induced transverse isotropy in rocks Stanford Exploration Project, Report 80, May 15, 2001, pages 1 318 Stress-induced transverse isotropy in rocks Lawrence M. Schwartz, 1 William F. Murphy, III, 1 and James G. Berryman 1 ABSTRACT The application

More information

GRAIN SORTING, POROSITY, AND ELASTICITY. Jack Dvorkin and Mario A. Gutierrez Geophysics Department, Stanford University ABSTRACT

GRAIN SORTING, POROSITY, AND ELASTICITY. Jack Dvorkin and Mario A. Gutierrez Geophysics Department, Stanford University ABSTRACT GRAIN SORTING, POROSITY, AND ELASTICITY Jack Dvorkin and Mario A. Gutierrez Geophysics Department, Stanford University July 24, 2001 ABSTRACT Grain size distribution (sorting) is determined by deposition.

More information

Hydrogeophysics - Seismics

Hydrogeophysics - Seismics Hydrogeophysics - Seismics Matthias Zillmer EOST-ULP p. 1 Table of contents SH polarized shear waves: Seismic source Case study: porosity of an aquifer Seismic velocities for porous media: The Frenkel-Biot-Gassmann

More information

Th LHR2 08 Towards an Effective Petroelastic Model for Simulator to Seismic Studies

Th LHR2 08 Towards an Effective Petroelastic Model for Simulator to Seismic Studies Th LHR2 08 Towards an Effective Petroelastic Model for Simulator to Seismic Studies A. Briceno* (Heriot-Watt University), C. MacBeth (Heriot-Watt University) & M.D. Mangriotis (Heriot-Watt University)

More information

Rock Physics Modeling in Montney Tight Gas Play

Rock Physics Modeling in Montney Tight Gas Play Rock Physics Modeling in Montney Tight Gas Play Ayato Kato 1, Kunio Akihisa 1, Carl Wang 2 and Reona Masui 3 1 JOGMEC-TRC, Chiba, Japan, kato-ayato@jogmec.go.jp 2 Encana, Calgary, Alberta 3 Mitsubishi

More information

DETECTION AND QUANTIFICATION OF ROCK PHYSICS PROPERTIES FOR IMPROVED HYDRAULIC FRACTURING IN HYDROCARBON-BEARING SHALE

DETECTION AND QUANTIFICATION OF ROCK PHYSICS PROPERTIES FOR IMPROVED HYDRAULIC FRACTURING IN HYDROCARBON-BEARING SHALE DETECTION AND QUANTIFICATION OF ROCK PHYSICS PROPERTIES FOR IMPROVED HYDRAULIC FRACTURING IN HYDROCARBON-BEARING SHALE Antoine Montaut, Paul Sayar, and Carlos Torres-Verdín The University of Texas at Austin

More information

Pressure and Compaction in the Rock Physics Space. Jack Dvorkin

Pressure and Compaction in the Rock Physics Space. Jack Dvorkin Pressure and Compaction in the Rock Physics Space Jack Dvorkin June 2002 0 200 Compaction of Shales Freshly deposited shales and clays may have enormous porosity of ~ 80%. The speed of sound is close to

More information

Estimating Permeability from Acoustic Velocity and Formation Resistivity Factor

Estimating Permeability from Acoustic Velocity and Formation Resistivity Factor 5th Conference & Exposition on Petroleum Geophysics, Hyderabad-2004, India PP 582-587 and Formation Resistivity Factor Majid Nabi-Bidhendi Institute of Geophysics, University of Tehran, P.O. Box 14155-6466,

More information

Temperature Dependence of Acoustic Velocities in Gas-Saturated Sandstones

Temperature Dependence of Acoustic Velocities in Gas-Saturated Sandstones Temperature Dependence of Acoustic Velocities in Gas-Saturated Sandstones Andreas Bauer, Christian Lehr, Frans Korndorffer, Arjan van der Linden Shell Global Solutions International, Rijswijk. Netherlands

More information

RESEARCH PROPOSAL. Effects of scales and extracting methods on quantifying quality factor Q. Yi Shen

RESEARCH PROPOSAL. Effects of scales and extracting methods on quantifying quality factor Q. Yi Shen RESEARCH PROPOSAL Effects of scales and extracting methods on quantifying quality factor Q Yi Shen 2:30 P.M., Wednesday, November 28th, 2012 Shen 2 Ph.D. Proposal ABSTRACT The attenuation values obtained

More information

Measurement of elastic properties of kerogen Fuyong Yan, De-hua Han*, Rock Physics Lab, University of Houston

Measurement of elastic properties of kerogen Fuyong Yan, De-hua Han*, Rock Physics Lab, University of Houston Measurement of elastic properties of kerogen Fuyong Yan, De-hua Han*, Rock Physics Lab, University of Houston Summary To have good understanding of elastic properties of organic shale, it is fundamental

More information

Rock physics of a gas hydrate reservoir. Gas hydrates are solids composed of a hydrogen-bonded ROUND TABLE

Rock physics of a gas hydrate reservoir. Gas hydrates are solids composed of a hydrogen-bonded ROUND TABLE ROUND TABLE Rock physics of a gas hydrate reservoir JACK DVORKIN and AMOS NUR, Stanford University, California, U.S. RICHARD UDEN and TURHAN TANER, Rock Solid Images, Houston, Texas, U.S. Gas hydrates

More information

6298 Stress induced azimuthally anisotropic reservoir - AVO modeling

6298 Stress induced azimuthally anisotropic reservoir - AVO modeling 6298 Stress induced azimuthally anisotropic reservoir - AVO modeling M. Brajanovski* (Curtin University of Technology), B. Gurevich (Curtin University of Technology), D. Nadri (CSIRO) & M. Urosevic (Curtin

More information

Effects of Fracture Parameters in an Anisotropy Model on P-Wave Azimuthal Amplitude Responses

Effects of Fracture Parameters in an Anisotropy Model on P-Wave Azimuthal Amplitude Responses PROC. ITB Eng. Science Vol. 38 B, No. 2, 2006, 159-170 159 Effects of Fracture Parameters in an Anisotropy Model on P-Wave Azimuthal Amplitude Responses Fatkhan Program Studi Teknik Geofisika FIKTM-ITB

More information

Summary. Simple model for kerogen maturity (Carcione, 2000)

Summary. Simple model for kerogen maturity (Carcione, 2000) Malleswar Yenugu* and De-hua Han, University of Houston, USA Summary The conversion of kerogen to oil/gas will build up overpressure. Overpressure is caused by conversion of solid kerogen to fluid hydrocarbons

More information

A Constitutive Framework for the Numerical Analysis of Organic Soils and Directionally Dependent Materials

A Constitutive Framework for the Numerical Analysis of Organic Soils and Directionally Dependent Materials Dublin, October 2010 A Constitutive Framework for the Numerical Analysis of Organic Soils and Directionally Dependent Materials FracMan Technology Group Dr Mark Cottrell Presentation Outline Some Physical

More information

ROCK PHYSICS MODELING FOR LITHOLOGY PREDICTION USING HERTZ- MINDLIN THEORY

ROCK PHYSICS MODELING FOR LITHOLOGY PREDICTION USING HERTZ- MINDLIN THEORY ROCK PHYSICS MODELING FOR LITHOLOGY PREDICTION USING HERTZ- MINDLIN THEORY Ida Ayu PURNAMASARI*, Hilfan KHAIRY, Abdelazis Lotfy ABDELDAYEM Geoscience and Petroleum Engineering Department Universiti Teknologi

More information

Rock Physics of Shales and Source Rocks. Gary Mavko Professor of Geophysics Director, Stanford Rock Physics Project

Rock Physics of Shales and Source Rocks. Gary Mavko Professor of Geophysics Director, Stanford Rock Physics Project Rock Physics of Shales and Source Rocks Gary Mavko Professor of Geophysics Director, Stanford Rock Physics Project 1 First Question: What is Shale? Shale -- a rock composed of mud-sized particles, such

More information

3D simulations of an injection test done into an unsaturated porous and fractured limestone

3D simulations of an injection test done into an unsaturated porous and fractured limestone 3D simulations of an injection test done into an unsaturated porous and fractured limestone A. Thoraval *, Y. Guglielmi, F. Cappa INERIS, Ecole des Mines de Nancy, FRANCE *Corresponding author: Ecole des

More information

LINK BETWEEN ATTENUATION AND VELOCITY DISPERSION

LINK BETWEEN ATTENUATION AND VELOCITY DISPERSION LINK BETWEEN ATTENUATION AND VELOCITY DISPERSION Jack Dvorkin Stanford University and Rock Solid Images April 25, 2005 SUMMARY In a viscoelastic sample, the causality principle links the attenuation of

More information

Unjacketed bulk compressibility of sandstone in laboratory experiments. R. M. Makhnenko 1 and J. F. Labuz 1

Unjacketed bulk compressibility of sandstone in laboratory experiments. R. M. Makhnenko 1 and J. F. Labuz 1 481 Unjacketed bulk compressibility of sandstone in laboratory experiments R. M. Makhnenko 1 and J. F. Labuz 1 1 Department of Civil Engineering, University of Minnesota, Minneapolis, MN 55455; PH (612)

More information

SEG/New Orleans 2006 Annual Meeting

SEG/New Orleans 2006 Annual Meeting On the applicability of Gassmann model in carbonates Ravi Sharma*, Manika Prasad and Ganpat Surve (Indian Institute of Technology, Bombay), G C Katiyar (Third Eye Centre, Oil and Natural Gas Corporation

More information

Shear Wave Velocity Estimation Utilizing Wireline Logs for a Carbonate Reservoir, South-West Iran

Shear Wave Velocity Estimation Utilizing Wireline Logs for a Carbonate Reservoir, South-West Iran Iranian Int. J. Sci. 4(2), 2003, p. 209-221 Shear Wave Velocity Estimation Utilizing Wireline Logs for a Carbonate Reservoir, South-West Iran Eskandari, H. 1, Rezaee, M.R., 2 Javaherian, A., 3 and Mohammadnia,

More information

SPE These in turn can be used to estimate mechanical properties.

SPE These in turn can be used to estimate mechanical properties. SPE 96112 Pressure Effects on Porosity-Log Responses Using Rock Physics Modeling: Implications on Geophysical and Engineering Models as Reservoir Pressure Decreases Michael Holmes, SPE, Digital Formation,

More information

Rock Physics Interpretation of microstructure Chapter Jingqiu Huang M.S. Candidate University of Houston

Rock Physics Interpretation of microstructure Chapter Jingqiu Huang M.S. Candidate University of Houston Rock Physics Interpretation of microstructure Chapter2.1 2.2 2.3 Jingqiu Huang M.S. Candidate University of Houston Introduction Theory and models Example in North Sea Introduction Theoretical models Inclusion

More information

The elastic properties such as velocity, density, impedance,

The elastic properties such as velocity, density, impedance, SPECIAL SECTION: Rr ock Physics physics Lithology and fluid differentiation using rock physics template XIN-GANG CHI AND DE-HUA HAN, University of Houston The elastic properties such as velocity, density,

More information

On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes

On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes SPECIAL Rock SECTION: physics R o c k p h y s i c s On discriminating sand from shale using prestack inversion without wells: A proof of concept using well data as a surrogate for seismic amplitudes M

More information

A differential scheme for elastic properties of rocks with dry or saturated cracks

A differential scheme for elastic properties of rocks with dry or saturated cracks Geophys. J. Int. (2002, 597 6 A differential scheme for elastic properties of rocks with dry or saturated cracks James G. Berryman, Steven R. Pride 2 and Herbert F. Wang 3 University of California, Lawrence

More information

Inversion of seismic AVA data for porosity and saturation

Inversion of seismic AVA data for porosity and saturation Inversion of seismic AVA data for porosity and saturation Brikt Apeland Thesis for the degree Master of Science Department of Earth Science University of Bergen 27th June 213 2 Abstract Rock physics serves

More information

DOUBLE SHELL AS A MODEL OF A MICRO-INHOMOGENEOUS POROELASTIC MEDIUM

DOUBLE SHELL AS A MODEL OF A MICRO-INHOMOGENEOUS POROELASTIC MEDIUM DOUBLE SHELL AS A MODEL OF A MICRO-INHOMOGENEOUS POROELASTIC MEDIUM Stanislav Glubokovskikh and Boris Gurevich State Science Center VNIIgeosystem, 8, Varshavskoe shosse, Moscow, 117105, Russia E-mail:

More information

A differential scheme for elastic properties of rocks with dry or saturated cracks

A differential scheme for elastic properties of rocks with dry or saturated cracks Stanford Exploration Project, Report 08, April 29, 200, pages?? A differential scheme for elastic properties of rocks with dry or saturated cracks James G. Berryman, Steven R. Pride, 2 and Herbert F. Wang

More information

Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc.

Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc. Integrating rock physics and full elastic modeling for reservoir characterization Mosab Nasser and John B. Sinton*, Maersk Oil Houston Inc. Summary Rock physics establishes the link between reservoir properties,

More information

Reservoir properties inversion from AVO attributes

Reservoir properties inversion from AVO attributes Reservoir properties inversion from AVO attributes Xin-gang Chi* and De-hua Han, University of Houston Summary A new rock physics model based inversion method is put forward where the shaly-sand mixture

More information

SUMMARY INTRODUCTION EXPERIMENTAL PROCEDURE

SUMMARY INTRODUCTION EXPERIMENTAL PROCEDURE Frequency dependent elastic properties and attenuation in heavy-oil sands: comparison between measured and modeled data Agnibha Das, and Michael Batzle, Colorado School of Mines SUMMARY We have measured

More information

Integration of Rock Physics Models in a Geostatistical Seismic Inversion for Reservoir Rock Properties

Integration of Rock Physics Models in a Geostatistical Seismic Inversion for Reservoir Rock Properties Integration of Rock Physics Models in a Geostatistical Seismic Inversion for Reservoir Rock Properties Amaro C. 1 Abstract: The main goal of reservoir modeling and characterization is the inference of

More information

Partial Saturation Fluid Substitution with Partial Saturation

Partial Saturation Fluid Substitution with Partial Saturation Fluid Substitution with 261 5 4.5 ρ fluid S w ρ w + S o ρ o + S g ρ g Vp (km/s) 4 3.5 K fluid S w K w + S o K o + S g K g Patchy Saturation Drainage 3 2.5 2 Fine-scale mixing 1 = S w + S o + S g K fluid

More information

Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study

Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study Integrating reservoir flow simulation with time-lapse seismic inversion in a heavy oil case study Naimeh Riazi*, Larry Lines*, and Brian Russell** Department of Geoscience, University of Calgary **Hampson-Russell

More information

PEAT SEISMOLOGY Lecture 9: Anisotropy, attenuation and anelasticity

PEAT SEISMOLOGY Lecture 9: Anisotropy, attenuation and anelasticity PEAT8002 - SEISMOLOGY Lecture 9: Anisotropy, attenuation and anelasticity Nick Rawlinson Research School of Earth Sciences Australian National University Anisotropy Introduction Most of the theoretical

More information

Reservoir Characteristics of a Quaternary Channel: Incorporating Rock Physics in Seismic and DC Resistivity Surveys

Reservoir Characteristics of a Quaternary Channel: Incorporating Rock Physics in Seismic and DC Resistivity Surveys Reservoir Characteristics of a Quaternary Channel: Incorporating Rock Physics in Seismic and DC Resistivity Surveys Jawwad Ahmad* University of Alberta, Edmonton, Alberta, Canada jahmad@phys.ualberta.ca

More information

Modeling elastic wave velocities and attenuation in rocks saturated with heavy oil

Modeling elastic wave velocities and attenuation in rocks saturated with heavy oil GEOPHYSICS, OL. 73, NO. 4 JULY-AUGUST 2008 ; P. E115 E122, 8 FIGS. 10.1190/1.2940341 Modeling elastic wave velocities and attenuation in rocks saturated with heavy oil Boris Gurevich 1,2, Konstantin Osypov

More information

Short Note. A simple derivation of the effective stress coefficient for seismic velocities in porous rocks. Boris Gurevich. n = 1 K 0 /K s, (4)

Short Note. A simple derivation of the effective stress coefficient for seismic velocities in porous rocks. Boris Gurevich. n = 1 K 0 /K s, (4) GEOPHYSICS, VOL. 69, NO. 2 (MARCH-APRIL 2004); P. 393 397, 1 FIG. 10.1190/1.1707058 Short Note A simple derivation of the effective stress coefficient for seismic velocities in porous rocks Boris Gurevich

More information

Estimating rock porosity and fluid saturation using only seismic velocities

Estimating rock porosity and fluid saturation using only seismic velocities Stanford Exploration Project, Report, October 5, 999, pages 4 57 Estimating rock porosity and fluid saturation using only seismic velocities James G. Berryman, Patricia A. Berge, and Brian P. Bonner keywords:

More information

CHARACTERIZATION OF SATURATED POROUS ROCKS WITH OBLIQUELY DIPPING FRACTURES. Jiao Xue and Robert H. Tatham

CHARACTERIZATION OF SATURATED POROUS ROCKS WITH OBLIQUELY DIPPING FRACTURES. Jiao Xue and Robert H. Tatham CHARACTERIZATION OF SATURATED POROUS ROCS WITH OBLIQUELY DIPPING FRACTURES Jiao Xue and Robert H. Tatham Department of Geological Sciences The University of Texas at Austin ABSTRACT Elastic properties,

More information

ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES ABSTRACT

ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES ABSTRACT ROCK PHYSICS DIAGNOSTICS OF NORTH SEA SANDS: LINK BETWEEN MICROSTRUCTURE AND SEISMIC PROPERTIES PER AVSETH, JACK DVORKIN, AND GARY MAVKO Department of Geophysics, Stanford University, CA 94305-2215, USA

More information

Exercise: concepts from chapter 8

Exercise: concepts from chapter 8 Reading: Fundamentals of Structural Geology, Ch 8 1) The following exercises explore elementary concepts associated with a linear elastic material that is isotropic and homogeneous with respect to elastic

More information

The Stanford VI reservoir

The Stanford VI reservoir The Stanford VI reservoir Scarlet A. Castro, Jef Caers and Tapan Mukerji Stanford Center for Reservoir Forecasting Stanford Rock Physics and Borehole Geophysics Project May 2005 Abstract An exhaustive

More information

An empirical method for estimation of anisotropic parameters in clastic rocks

An empirical method for estimation of anisotropic parameters in clastic rocks An empirical method for estimation of anisotropic parameters in clastic rocks YONGYI LI, Paradigm Geophysical, Calgary, Alberta, Canada Clastic sediments, particularly shale, exhibit transverse isotropic

More information

Seismic modelling of unconventional reservoirs

Seismic modelling of unconventional reservoirs FOCUS ARTICLE Coordinated by Satinder Chopra / Meghan Brown Seismic modelling of unconventional reservoirs Marco Perez Apache Canada Ltd., Calgary, Alberta, Canada Introduction Unconventional resource

More information

VELOCITY MODELING TO DETERMINE PORE ASPECT RATIOS OF THE HAYNESVILLE SHALE. Kwon Taek Oh

VELOCITY MODELING TO DETERMINE PORE ASPECT RATIOS OF THE HAYNESVILLE SHALE. Kwon Taek Oh VELOCITY MODELING TO DETERMINE PORE ASPECT RATIOS OF THE HAYNESVILLE SHALE. Kwon Taek Oh Department of Geological Sciences The University of Texas at Austin ABSTRACT This work estimates pore shapes from

More information

The Hangingstone steam-assisted gravity drainage

The Hangingstone steam-assisted gravity drainage SPECIAL Heavy SECTION: oil H e a v y o i l Elastic property changes in a bitumen reservoir during steam injection AYATO KATO, University of Houston, USA SHIGENOBU ONOZUKA, JOGMEC, Chiba, Japan TORU NAKAYAMA,

More information

Modeling high-frequency acoustics velocities in patchy and partially saturated porous rock using differential effective medium theory

Modeling high-frequency acoustics velocities in patchy and partially saturated porous rock using differential effective medium theory Stanford Exploration Project, Report 112, November 11, 2002, pages 223 237 Modeling high-frequency acoustics velocities in patchy and partially saturated porous rock using differential effective medium

More information

Techniques for determining the structure and properties of permafrost

Techniques for determining the structure and properties of permafrost Stanford Exploration Project, Report 80, May 15, 2001, pages 1 404 Techniques for determining the structure and properties of permafrost Ray Abma 1 ABSTRACT Several methods for predicting the relationship

More information

We apply a rock physics analysis to well log data from the North-East Gulf of Mexico

We apply a rock physics analysis to well log data from the North-East Gulf of Mexico Rock Physics for Fluid and Porosity Mapping in NE GoM JACK DVORKIN, Stanford University and Rock Solid Images TIM FASNACHT, Anadarko Petroleum Corporation RICHARD UDEN, MAGGIE SMITH, NAUM DERZHI, AND JOEL

More information

Tu P8 08 Modified Anisotropic Walton Model for Consolidated Siliciclastic Rocks: Case Study of Velocity Anisotropy Modelling in a Barents Sea Well

Tu P8 08 Modified Anisotropic Walton Model for Consolidated Siliciclastic Rocks: Case Study of Velocity Anisotropy Modelling in a Barents Sea Well Tu P8 08 Modified Anisotropic Walton Model for Consolidated Siliciclastic Rocks: Case Study of Velocity Anisotropy Modelling in a Barents Sea Well Y. Zhou (Rock Solid Images), F. Ruiz (Repsol), M. Ellis*

More information

Da PENG, Cheng YIN, Hu ZHAO, and Wei LIU

Da PENG, Cheng YIN, Hu ZHAO, and Wei LIU Acta Geophysica vol. 64, no. 6, Dec. 2016, pp. 2337-2355 DOI: 10.1515/acgeo-2016-0108 An Estition Method of Pore Structure and Mineral Moduli Based on Kuster Toksöz (KT) Model and Biot s Coefficient Da

More information

RP 2.6. SEG/Houston 2005 Annual Meeting 1521

RP 2.6. SEG/Houston 2005 Annual Meeting 1521 Ludmila Adam 1, Michael Batzle 1, and Ivar Brevik 2 1 Colorado School of Mines, 2 Statoil R&D Summary A set of carbonate plugs of different porosity, permeability, mineralogy and texture are measured at

More information

GEOPHYSICAL PROSPECTING: DYNAMIC RESERVOIR CHARACTERIZATION AND TIME-LAPSE MULTICOMPONENT SEISMOLOGY FOR RESERVOIR MONITORING UNESCO EOLSS

GEOPHYSICAL PROSPECTING: DYNAMIC RESERVOIR CHARACTERIZATION AND TIME-LAPSE MULTICOMPONENT SEISMOLOGY FOR RESERVOIR MONITORING UNESCO EOLSS GEOPHYSICAL PROSPECTING: DYNAMIC RESERVOIR CHARACTERIZATION AND TIME-LAPSE MULTICOMPONENT SEISMOLOGY FOR RESERVOIR MONITORING Steven L. Roche CGGVeritas, Multicomponent Processing & Technology Group Thomas

More information

Velocity Measurements of Pore Fluids at Pressure and Temperature: Application to bitumen

Velocity Measurements of Pore Fluids at Pressure and Temperature: Application to bitumen Velocity Measurements of Pore Fluids at Pressure and Temperature: Application to bitumen Arif Rabbani 1*, Douglas R Schmitt 1, Jason Nycz 2, and Ken Gray 3 1 Institute for Geophysical Research, Department

More information

7.2.1 Seismic waves. Waves in a mass- spring system

7.2.1 Seismic waves. Waves in a mass- spring system 7..1 Seismic waves Waves in a mass- spring system Acoustic waves in a liquid or gas Seismic waves in a solid Surface waves Wavefronts, rays and geometrical attenuation Amplitude and energy Waves in a mass-

More information

Calibration of the petro-elastic model (PEM) for 4D seismic studies in multi-mineral rocks Amini, Hamed; Alvarez, Erick Raciel

Calibration of the petro-elastic model (PEM) for 4D seismic studies in multi-mineral rocks Amini, Hamed; Alvarez, Erick Raciel Heriot-Watt University Heriot-Watt University Research Gateway Calibration of the petro-elastic model (PEM) for 4D seismic studies in multi-mineral rocks Amini, Hamed; Alvarez, Erick Raciel DOI: 10.3997/2214-4609.20132136

More information

P- and S-Wave Velocity Measurements and Pressure Sensitivity Analysis of AVA Response

P- and S-Wave Velocity Measurements and Pressure Sensitivity Analysis of AVA Response P- and S-Wave Velocity Measurements and Pressure Sensitivity Analysis of AVA Response Tiewei He* University of Alberta, Edmonton, Alberta, Canada tieweihe@phys.ualberta.ca and Douglas Schmitt University

More information

MATERIAL MECHANICS, SE2126 COMPUTER LAB 4 MICRO MECHANICS. E E v E E E E E v E E + + = m f f. f f

MATERIAL MECHANICS, SE2126 COMPUTER LAB 4 MICRO MECHANICS. E E v E E E E E v E E + + = m f f. f f MATRIAL MCHANICS, S226 COMPUTR LAB 4 MICRO MCHANICS 2 2 2 f m f f m T m f m f f m v v + + = + PART A SPHRICAL PARTICL INCLUSION Consider a solid granular material, a so called particle composite, shown

More information

Characterization of Heterogeneities in Carbonates Ravi Sharma* and Manika Prasad, Colorado School of Mines

Characterization of Heterogeneities in Carbonates Ravi Sharma* and Manika Prasad, Colorado School of Mines Characterization of Heterogeneities in Carbonates Ravi Sharma* and Manika Prasad, Colorado School of Mines Summary Heterogeneity in carbonate rock is the principal reason for its improper characterization

More information

Effective medium theory for elastic composites

Effective medium theory for elastic composites Effective medium theory for elastic composites James G. Berryman ABSTRACT The theoretical foundation of a variant on effective medium theories for elastic constants of composites is presented discussed.

More information

Module 5: Failure Criteria of Rock and Rock masses. Contents Hydrostatic compression Deviatoric compression

Module 5: Failure Criteria of Rock and Rock masses. Contents Hydrostatic compression Deviatoric compression FAILURE CRITERIA OF ROCK AND ROCK MASSES Contents 5.1 Failure in rocks 5.1.1 Hydrostatic compression 5.1.2 Deviatoric compression 5.1.3 Effect of confining pressure 5.2 Failure modes in rocks 5.3 Complete

More information

Theoretical Approach in Vp/Vs Prediction from Rock Conductivity in Gas Saturating Shaly Sand

Theoretical Approach in Vp/Vs Prediction from Rock Conductivity in Gas Saturating Shaly Sand Modern Applied Science; Vol. 13, No. 1; 2019 ISSN 1913-1844 E-ISSN 1913-1852 Published by Canadian Center of Science and Education Theoretical Approach in Vp/Vs Prediction from Rock Conductivity in Gas

More information

Poroelastic measurements resulting in complete data sets for granular and other anisotropic porous media

Poroelastic measurements resulting in complete data sets for granular and other anisotropic porous media Poroelastic measurements resulting in complete data sets for granular and other anisotropic porous media James G. Berryman ABSTACT Poroelastic analysis usually progresses from assumed knowledge of dry

More information

Journal of Geophysical Research: Solid Earth

Journal of Geophysical Research: Solid Earth RESEARCH ARTCLE Key Points: Anisotropy of seismic attenuation correlates to anisotropy of the heterogeneity Ratios of peak attenuation in different directions depend on correlation lengths Attenuation

More information

International Journal of Solids and Structures

International Journal of Solids and Structures International Journal of Solids and Structures 48 (0) 680 686 Contents lists available at ScienceDirect International Journal of Solids and Structures journal homepage: www.elsevier.com/locate/ijsolstr

More information

The title of my presentation is Constraints on C13 for shales. -2-

The title of my presentation is Constraints on C13 for shales. -2- 1-1- 1. The title of my presentation is Constraints on C13 for shales. -2-2. Outline: C13 in shales and physical models. Different Poisson's ratios in VTI rock. Compliance tensor for VTI shale. 2-3- 3.It

More information

We Density/Porosity Versus Velocity of Overconsolidated Sands Derived from Experimental Compaction SUMMARY

We Density/Porosity Versus Velocity of Overconsolidated Sands Derived from Experimental Compaction SUMMARY We 6 Density/Porosity Versus Velocity of Overconsolidated Sands Derived from Experimental Compaction S. Narongsirikul* (University of Oslo), N.H. Mondol (University of Oslo and Norwegian Geotechnical Inst)

More information

Understanding hydraulic fracture variability through a penny shaped crack model for pre-rupture faults

Understanding hydraulic fracture variability through a penny shaped crack model for pre-rupture faults Penny shaped crack model for pre-rupture faults Understanding hydraulic fracture variability through a penny shaped crack model for pre-rupture faults David Cho, Gary F. Margrave, Shawn Maxwell and Mark

More information

Modeling seismic wave propagation during fluid injection in a fractured network: Effects of pore fluid pressure on time-lapse seismic signatures

Modeling seismic wave propagation during fluid injection in a fractured network: Effects of pore fluid pressure on time-lapse seismic signatures Modeling seismic wave propagation during fluid injection in a fractured network: Effects of pore fluid pressure on time-lapse seismic signatures ENRU LIU, SERAFEIM VLASTOS, and XIANG-YANG LI, Edinburgh

More information

Scale-up in poroelastic systems and applications to reservoirs

Scale-up in poroelastic systems and applications to reservoirs Scale-up in poroelastic systems and applications to reservoirs James G. Berryman 1 ABSTRACT A fundamental problem of heterogeneous systems is that the macroscale behavior is not necessarily well-described

More information

Crosswell tomography imaging of the permeability structure within a sandstone oil field.

Crosswell tomography imaging of the permeability structure within a sandstone oil field. Crosswell tomography imaging of the permeability structure within a sandstone oil field. Tokuo Yamamoto (1), and Junichi Sakakibara (2) (1) University of Miami and Yamamoto Engineering Corporation, (2)

More information

16.21 Techniques of Structural Analysis and Design Spring 2003 Unit #5 - Constitutive Equations

16.21 Techniques of Structural Analysis and Design Spring 2003 Unit #5 - Constitutive Equations 6.2 Techniques of Structural Analysis and Design Spring 2003 Unit #5 - Constitutive quations Constitutive quations For elastic materials: If the relation is linear: Û σ ij = σ ij (ɛ) = ρ () ɛ ij σ ij =

More information

Linear Elasticity ( ) Objectives. Equipment. Introduction. ε is then

Linear Elasticity ( ) Objectives. Equipment. Introduction. ε is then Linear Elasticity Objectives In this lab you will measure the Young s Modulus of a steel wire. In the process, you will gain an understanding of the concepts of stress and strain. Equipment Young s Modulus

More information

ELASTIC STIFFNESS OF FRACTURED ROCK WITH MULTIPLE FRACTURE-FILLING MATERIALS. Kyle T. Spikes

ELASTIC STIFFNESS OF FRACTURED ROCK WITH MULTIPLE FRACTURE-FILLING MATERIALS. Kyle T. Spikes ELASTIC STIFFNESS OF FRACTURED ROCK WITH MULTIPLE FRACTURE-FILLING MATERIALS Kyle T. Spikes Department of Geological Sciences The University of Texas at Austin ABSTRACT This work is presentation of three

More information

Seismic velocity decrement ratios for regions of partial melt near the core-mantle boundary

Seismic velocity decrement ratios for regions of partial melt near the core-mantle boundary Stanford Exploration Project, Report 02, October 25, 999, pages 87 20 Seismic velocity decrement ratios for regions of partial melt near the core-mantle boundary James G. Berryman keywords: poroelasticity,

More information

Incorporating pore geometry and fluid pressure communication into modeling the elastic behavior of porous rocks

Incorporating pore geometry and fluid pressure communication into modeling the elastic behavior of porous rocks GEOPHYSICS, VOL. 62, NO. 1 (JANUARY-FEBRUARY 1997); P. 106 117, 7 FIGS., 1 TABLE. Incorporating pore geometry fluid pressure communication into modeling the elastic behavior of porous rocks Anthony L.

More information

A shale rock physics model for analysis of brittleness index, mineralogy, and porosity in the Barnett Shale

A shale rock physics model for analysis of brittleness index, mineralogy, and porosity in the Barnett Shale 1 2 A shale rock physics model for analysis of brittleness index, mineralogy, and porosity in the Barnett Shale 3 4 5 6 7 8 9 Zhiqi Guo 1, Xiang-Yang Li 2,3, Cai Liu 1, Xuan Feng 1, and Ye Shen 4 1 Jilin

More information

Lawrence Berkeley National Laboratory

Lawrence Berkeley National Laboratory Lawrence Berkeley National Laboratory Peer Reviewed Title: Fracture permeability and seismic wave scattering--poroelastic linear-slip interface model for heterogeneous fractures Author: Nakagawa, S. Publication

More information

Elements of Rock Mechanics

Elements of Rock Mechanics Elements of Rock Mechanics Stress and strain Creep Constitutive equation Hooke's law Empirical relations Effects of porosity and fluids Anelasticity and viscoelasticity Reading: Shearer, 3 Stress Consider

More information

Velocity-effective stress response of CO 2

Velocity-effective stress response of CO 2 Exploration Geophysics (2006) 37, 60-66 Butsuri-Tansa (Vol. 59, No. 1) Mulli-Tamsa (Vol. 9, No. 1) Velocity-effective stress response of -saturated sandstones Anthony F. Siggins Key Words: Carbon dioxide,

More information