Stress induced seismic velocity anisotropy study Bin Qiu, Mita Sengupta, Jorg Herwanger, WesternGeco/Schlumberger

Similar documents
Anisotropic velocity changes in seismic time-lapse data Jorg Herwanger*, Ed Palmer (WesternGeco), Christian Rau Schiøtt (Hess)

SEG/San Antonio 2007 Annual Meeting SUMMARY DATA

Downloaded 12/20/17 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

Th A1 05 A Semi-Empirical Model for Interpreting Rock Strain Sensitivity in 4D Seismic Data

2010 SEG SEG Denver 2010 Annual Meeting

Acoustic Anisotropy Measurements and Interpretation in Deviated Wells

6298 Stress induced azimuthally anisotropic reservoir - AVO modeling

In situ calibrated velocity-to-stress transforms using shear sonic radial profiles for time-lapse production analysis

Azimuthal AVO and Curvature. Jesse Kolb* David Cho Kris Innanen

3D VTI traveltime tomography for near-surface imaging Lina Zhang*, Jie Zhang, Wei Zhang, University of Science and Technology of China (USTC)

Compensating visco-acoustic effects in anisotropic resverse-time migration Sang Suh, Kwangjin Yoon, James Cai, and Bin Wang, TGS

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

P191 Bayesian Linearized AVAZ Inversion in HTI Fractured Media

SEG Houston 2009 International Exposition and Annual Meeting

2011 SEG SEG San Antonio 2011 Annual Meeting 771. Summary. Method

An efficient wave extrapolation method for tilted orthorhombic media using effective ellipsoidal models

Geomechanics, Anisotropy and LMR

An acoustic wave equation for orthorhombic anisotropy

Anisotropic inversion of seismic data for stressed media: Theory and a physical modeling study on Berea Sandstone

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

Effects of VTI Anisotropy in Shale-Gas Reservoir Characterization

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

Summary. Introduction

Introduction to Seismology Spring 2008

Workflows for Sweet Spots Identification in Shale Plays Using Seismic Inversion and Well Logs

Laboratory Measurements of P-wave and S-wave Anisotropy in Synthetic Sandstones with Controlled Fracture Density

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

SEG/San Antonio 2007 Annual Meeting. Summary. Fracture identification in boreholes. Introduction. Dipole sonic anisotropy in boreholes

Correspondence between the low- and high-frequency limits for anisotropic parameters in a layered medium

AVAZ and VVAZ practical analysis to estimate anisotropic properties

We Challenges in shale-reservoir characterization by means of AVA and AVAZ

Calibration of anisotropic velocity models using sonic and Walkaway VSP measurements

Elastic anisotropy in the Haynesville Shale from dipole sonic data

Elastic wavefield separation for VTI media

Isotropic and anisotropic velocity model building for subsalt seismic imaging

NMO residual reduction on medium anisotropy in field X using Fomel and Stovas method

AVAZ inversion for fracture orientation and intensity: a physical modeling study

Stress-induced transverse isotropy in rocks

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

Time-lapse (4D) seismic effects: Reservoir sensitivity to stress and water saturation

Traveltime approximations for inhomogeneous transversely isotropic media with a horizontal symmetry axis

An empirical method for estimation of anisotropic parameters in clastic rocks

Exact elastic impedance in orthorhombic media

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

Geophysical model response in a shale gas

SEG/San Antonio 2007 Annual Meeting. γ Q in terms of complex-valued weaknesses that relates

Anisotropy of Shale Properties: A Multi-Scale and Multi-Physics Characterization

Cross-well seismic modelling for coal seam delineation

Elastic wave-mode separation for VTI media

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

SPE DISTINGUISHED LECTURER SERIES is funded principally through a grant of the SPE FOUNDATION

Best practices predicting unconventional reservoir quality

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

Exact Seismic Velocities for VTI and HTI Media and Extended Thomsen Formulas for Stronger Anisotropies. Abstract

4D stress sensitivity of dry rock frame moduli: constraints from geomechanical integration

Chapter 1. Introduction EARTH MODEL BUILDING

Towed Streamer EM data from Barents Sea, Norway

Observation of shear-wave splitting from microseismicity induced by hydraulic fracturing: A non-vti story

Reservoir properties inversion from AVO attributes

Stochastic rock physics modeling for seismic anisotropy

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

AVAZ inversion for fracture orientation and intensity: a physical modeling study

RP 2.6. SEG/Houston 2005 Annual Meeting 1521

FRACTURE REORIENTATION IN HORIZONTAL WELL WITH MULTISTAGE HYDRAULIC FRACTURING

Analytic Tools for Quantitative Interpretation. Mrinal K.Sen

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

Sources and Measurement of Velocity Anisotropy of Cambay Shale, Cambay Basin, India

Mohr's Circle and Earth Stress (The Elastic Earth)

Downloaded 10/29/15 to Redistribution subject to SEG license or copyright; see Terms of Use at

TIME-LAPSE ULTRASONIC IMAGING OF ELASTIC ANISOTROPY IN SATURATED SANDSTONE UNDER POLYAXIAL STRESS STATE

Time lapse (4D) effect in Forties Field, UK, North Sea; reservoir strain: implication for sand production

Salt anisotropy: Ultrasonic lab experiments and traveltime ramifications Jingjing Zong *, Robert Stewart and Nikolay Dyaur University of Houston

Reflection moveout and parameter estimation for horizontal transverse isotropy

Nonhyperbolic Reflection Moveout for Orthorhombic Media

Geomechanical Characterization of a Montney Equivalent Outcrop

Acoustic anisotropic wavefields through perturbation theory

Geophysical Journal International

Downloaded 09/17/13 to Redistribution subject to SEG license or copyright; see Terms of Use at Log data.

Geology 229 Engineering Geology. Lecture 5. Engineering Properties of Rocks (West, Ch. 6)

Seismic inversion for the parameters of two orthogonal fracture sets in a VTI background medium

SEG Houston 2009 International Exposition and Annual Meeting

Direct nonlinear traveltime inversion in layered VTI media Paul J. Fowler*, Alexander Jackson, Joseph Gaffney, and David Boreham, WesternGeco

Stress Damage in Borehole and Rock Cores; Developing New Tools to Update the Stress Map of Alberta

Snell s law in transversely isotropic media using linearized group velocities and related quantities

Estimating vertical and horizontal resistivity of the overburden and the reservoir for the Alvheim Boa field. Folke Engelmark* and Johan Mattsson, PGS

Understand basic stress-strain response of engineering materials.

1. Background. is usually significantly lower than it is in uniaxial tension

v v Downloaded 01/11/16 to Redistribution subject to SEG license or copyright; see Terms of Use at

Rock Physics of Organic Shale and Its Implication

Research Article Dispersion of Love Waves in a Composite Layer Resting on Monoclinic Half-Space

DOWN-HOLE SEISMIC SURVEY AND VERTICAL ELECTRIC SOUNDINGS RABASKA PROJECT, LÉVIS, QUÉBEC. Presented to :

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

Kirchhoff prestack depth migration in simple models with differently rotated elasticity tensor: orthorhombic and triclinic anisotropy

Radiation pattern in homogeneous and transversely isotropic attenuating media

MEMORANDUM SUBJECT: CERTIFICATE IN ROCK MECHANICS PAPER 1 : THEORY SUBJECT CODE: COMRMC MODERATOR: H YILMAZ EXAMINATION DATE: OCTOBER 2017 TIME:

Numerical Modeling for Different Types of Fractures

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

Downloaded 09/04/13 to Redistribution subject to SEG license or copyright; see Terms of Use at

20. Rheology & Linear Elasticity

Transcription:

anisotropy study Bin Qiu, Mita Sengupta, Jorg Herwanger, WesternGeco/Schlumberger Summary A method of calculating stress induced seismic velocity anisotropy is presented and studied. In a first step an effective stiffness tensor of a stressed rock is calculated using third order elasticity (TOE) theory. In a second step, anisotropic seismic P- and S-wave velocities are calculated from the effective stiffness tensor using Tsvankin s notation, which is an extension of Thomsen s weak anisotropy notation. This method is used to study anisotropic velocity changes due to changes in hydrostatic, uni-axial and tri-axial stress using stress-sensitivity (thirdorder) parameters given in the literature. The computations show, in agreement with experimental observations, that the strongest P-wave velocity increases are observed in the direction of the largest stress increase. For S-waves, the largest velocity increase is observed for S-waves polarized parallel to the direction of maximum stress-increase. Therefore, S-waves have the potential to be used as a tool to monitor horizontal stress changes. tensor based on third-order elasticity described by Prioul et al. (4). Second, we then present anisotropy parameters and P-wave, S-wave velocities for orthorhombic media (Tsvankin, 1997). These methods are then used to study anisotropic velocity changes for each of three different scenarios and the resulting velocity changes are plotted. The vertical velocity is shown to be sensitive to stress path and depends on both vertical and horizontal strain. For the same amount of vertical strain, vertical velocity changes are by a factor of two larger for hydrostatic compression than for tri-axial stress changes following a stress-path typical for overburden stretching. The results predict that the percentage change in velocity anisotropy is far larger than the strain percentage change that is linked to tensor stress change. Observations of anisotropic seismic velocity changes from reflection seismic data have the potential, given suitable data processing, to act as a remote stresssensing tool. Effective stiffness tensor of a stressed TI medium Introduction Knowledge of the subsurface stress-state is an important factor of oilfield management. Knowledge of stress conditions in the overburden and the reservoir can help to avoid drilling hazard and helps to manage reservoir production. Pressure drawdown during hydrocarbon production causes subsurface stress to change and seismic methods have the potential to monitor this change in stress state. In the last 5 years at least 15 fields were reported to show a stress-related time-lapse seismic response in the open literature (see Herwanger and Horne, 9 for a table compiling the observations). Given that not all such observations are reported and that time-lapse seismic is not applied in all producing fields, the actual number of fields where time-lapse seismic stress monitoring can be used is far larger. The rock-physics relationship linking the observed velocity changes and the causative stress-changes is still an active area of research. The majority of reported field case studies assume that stress-induced velocity changes are isotropic. On the other hand, experimental evidence from laboratory measurements (Scott et al., 1993; Scott et al., 1998; Dillen et al., 1999) clearly shows that anisotropic velocity changes occur during non-hydrostatic stress changes. In this study, we examine the effect of elastic deformation of rock for hydrostatic, uni-axial and tri-axial compression on anisotropic seismic velocity. First, we present a method of computing stress induced changes in the elastic stiffness Figure 1: (a) Seismic velocity in an initial stress state is assumed to be anisotropic with TI (vertical transversely isotropic) symmetry. elocity is described by the vertical P- and S-velocity p and s and the Thomsen parameters, and. We then apply stresses along the coordinate axes, indicated by the yellow arrows. (b) Stress-induced seismic velocities can show orthorhombic symmetry, when all three principal stresses are unequal. elocity is described by the vertical P-velocity p, the two vertical S-velocities and the Tsvankin parameters (1), (), (1), (),, (1) and () In this section, we show how to compute the elastic stiffness tensor, describing seismic P- and S-wave velocity, of a medium under a change in the static stress field using third-order elasticity (TOE) theory. The equations follow the description given in Prioul et al. (4). In the initial stress state elastic wave propagation in the rock mass is described by vertical transverse isotropic (TI) elastic symmetry (Figure 1a). Wave speed in the horizontal plane is constant, i.e. independent of the azimuth of the 1 SEG SEG Denver 1 Annual Meeting 617

propagation direction of the wave. Waves propagating in different directions in a vertical plane have different propagation velocities. Applying a tri-axial stress field (denoted by the three arrows in Figure 1a), causes anisotropic velocity changes. If the two horizontal stresses are equal (but different from the vertical stress change) the rock will retain its TI symmetry. In the general case (all three principal stresses are different), the rock mass will exhibit orthorhombic symmetry (Figure 1b). Note that the direction of the applied vertical stress is aligned with the symmetry axis of the TI medium. In the TOE theory applied here, the principal axes of the applied stress field have to be aligned with the symmetry axis of the elastic tensor describing the medium. Generalizations of the theory are available, but need more than the three stress-sensitivity parameters in the formulation used in this paper. Procedure for computing stiffness tensor under changing tri-axial stress conditions Rock is a non-linear medium, i.e. stress is related to strain in a non-linear fashion. Under external (static) stress, rock deforms, its stiffness changes, and the effective elastic stiffness tensor becomes a non-linear function of stress (Thurston, 1974). To make the computation more tractable, a Taylor series expansion of the effective elastic stiffness tensor ( ij) at an initial stress state can be used to compute the elastic stiffness tensor ij at any different stress state. This is described by TOE rock-physics model (Prioul, 4) in equation group (1): 11 E ( E ) 11 111 11 11 E ( ) 11111 E 11 E ( ) 111 E 11 E 1 1 11 E) 13E 13 13 11 E) 13E 3 13 11( E E) 13E 11 66 66 144E 155 E) 55 44 144E 155 E) 44 44 144 155 ( E E) (1) with ij : Effective stiffness tensor of stressed rock; ij: Stiffness tensor of rock in initial stress state; E ii : Principal strain related to principal stress; and ijk : The TOE sensitivity parameters. The equations state that the elastic stiffness tensor ij at any stress state can be computed from the elastic stiffness tensor ij in an initial (or reference) stress state, the strain changes E ii caused by static stress changes and three independent stress sensitivity parameters 111, 11 and 13, with 144 =( 11-13 )/ and 155 =( 111-11 )/4. In this study, the elastic stiffness tensor in the initial stress state is taken to exhibit TI anisotropy. The equation (1) is a linearized form of the fully non-linear theory described in Thurston, 1974 and Sinha and Kostek, 1996. Note, in equation (1), only rock strain is used. It can be calculated from stress using inverse Hooke s law (Herwanger and Horne, 9). In this paper, although stress is mentioned frequently, strain is actually used in calculations. Anisotropic parameters and p-wave velocity for orthorhombic media A set of notations to describe anisotropic velocity in orthorhombic media was introduced by Tsvankin, 1997. It extended Thomsen s weak anisotropy notation to describe the orthorhombic velocities. The notation provides expression to compute P-wave velocity as a function of polar angle and azimuthal angle Ф (denoted in Figure ) from the stiffness tensor of an orthorhombic medium orthor.. Also S-wave velocities as function of polar angle in two symmetry planes are provided. Here the elements of the orthor are computed from the TOE rock-physics model: orthor 11 1 31 1 3 13 3 44 55 66 Figure : Nomenclature of velocities in an orthorhombic medium following Tsvankin (1997). Figure shows the nomenclature for velocities of an orthorhombic media according to Tsvankin (1997). Equation () computes P-wave velocity. Equations (3), (4) (5) and (6) compute S H and S velocity for the [x1, and [x, symmetry planes, respectively: ( ) ( ) 4 (, ) [1 Sin os Sin ] () p p. 1 SEG SEG Denver 1 Annual Meeting 618

SH ( ) ( ){[ x1, 1 Sin (3) ( ){[ x1, S SH S _ [1 p ( ) Sin os ] ( ) ( ) S _ S _ (4) (1) ( ){[ x, 1 Sin (5) ( ){[ x, S S _1 S _1 [1 S p _1 ( (1) (1 ) ) Sin os ]. (6) This description uses the following naming conventions: P(θ,Ф) P-wave velocity with angle θ to vertical axis 3 and angle Ф to horizontal axis ; SH(θ){[x1, Pure shear wave with angle θ to vertical axis 3 in x1-x3 plane; S(θ){[x1, Pseudo shear wave with angle θ to vertical axis 3 in symmetry plane 1-3; SH(θ){[x, Pure shear wave with angle θ to vertical axis 3 in symmetry plane -3; S(θ){[x, Pseudo shear wave with angle θ to vertical axis 3 in symmetry plane -3. The velocity and anisotropy parameters are related to the elements of the stiffness tensor by: P ertical P-wave velocity with = ; _ ertical pseudo shear wave velocity polarized in the x1-x3 plane with _ = ; _ ertical pseudo shear wave velocity polarized in the x-x3 plane _ = ; ε (1), ε () TI parameter ε in x1-x3 and x-x3 symmetry planes ε () = and ε () = ; δ (1), δ () TI parameter in x1-x3 and x-x3 symmetry planes δ () = ( ) ( ) and δ () = ( ) ( ) ( ) ( ) ; δ (3) TI parameter δ in the x1-x symmetry plane δ () = ( ) ( ) ; and ( ) (1), (). TI parameter γ in the x1-x3 and x-x3 symmetry plane γ () = and γ () =. Outside the symmetry planes, the generalized Thomsen parameters are computed by: δ(ф) TI parameter δ outside of x1-x and x1-x3 symmetry plane δ(φ) = δ () sin φ + cos φ. ε(ф) TI parameter ε outside the x1-x and x1-x3 symmetry plane ε(φ) = ε () sin φ + ε cos φ + (ε () + δ () sin φ cos φ). stress tests with parameters taken from the literature (Prioul and Lebrat, 4). Although the three principal strains of anisotropic medium are not necessarily equal under hydrostatic compression, an assumption is made that the principal strains are proportional to the (hydrostatic) stress for simplification. In the hydrostatic compression experiment, the principal strains in all three directions are -.%, i.e. the sample is shortened by.% in x-, y-, and z- directions. In the uni-axial experiment, the sample decreases in height by.%, whereas the lateral extent is not changed. In the tri-axial experiment, the sample is shortened by.% under vertical compression and laterally extends.6% to simulate a Poisson ratio of.3. Since horizontal stress changes are the same, no azimuthally varying velocities need to be considered and we model and display results for velocity changes in Figures 3, 4 and 5 in the x-x3 plane. Sensitivity parameters and initial stiffnesses are as follows (unit for stiffness tensor and TOE coefficients is GPa): 111 = -734; 11 = -147; 13 = 96; 11 =.9; 13=18.; =3.1; 44=8.5; 66=14.; ρ=7kg/m 3. Figure 3: Relative velocity change under hydrostatic stress. Figure 3 shows velocity changes under hydrostatic stress increase. The rock decreases in volume. Both P- and S- velocities in all directions increase as hydrostatic compressive stress increases. Slight changes in velocity anisotropy are also predicted, despite the applied isotropic strain. This is not surprising, as the sample is initially in an anisotropic state, but it serves as a reminder that anisotropic velocity changes can occur even under hydrostatic stress changes. The applied strain of.% (-.) causes an increase in P-wave velocity slightly less than % (.). elocity change study using synthetic data The above method is used to model the velocity change under hydrostatic stress, uni-axial deformation and tri-axial 1 SEG SEG Denver 1 Annual Meeting 619

Figure 4: Relative velocity change under uni-axial strain. Figure 4 shows velocity changes under uni-axial strain changes. ertical stress compresses the rock and causes negative (contraction) strain in vertical direction. Strain in horizontal directions remains unchanged. Note that for horizontal propagation in all wave modes, there is an increase in velocity. For wave modes with horizontal polarization, velocity increases despite zero horizontal strain. This is caused by the contribution of vertical strain to 11,, 44 and 55. The 5% to 1% increase in velocities is less than the hydrostatic test, where velocity changes approaching % were predicted for the same amount of vertical strain. compression, instead of extension and therefore applied.6% horizontal strain in extension, instead of compression as would be expected during overburden stretching. Again, the increase in vertical strain during the tri-axial experiment causes an increase of P in vertical direction. The ratio of fractional (vertical) velocity change v/v and vertical strain (R-factor of Hatchell and Bourne and dilation parameter - of Røste et al., 5) for the three experiments are R=6, 4 and 3 for the hydrostatic, uni-axial strain and tri-axial experiment, respectively. These values are in broad agreement with the laboratory observations reported by Bathija et al., 9 and Holt et al., 8. Both reports give experimental evidence of the influence of stress-path on vertical velocity and show that R-factor values in the range 1-1 are reasonable. To summarize, the velocity change in any direction is the combined effect of compaction by all stresses applied. For example, the vertical P-wave velocity is influenced by both vertical and horizontal stress changes. The relative influence of vertical and horizontal strain on vertical velocity is given by (i) the magnitudes of vertical and horizontal strain and (ii) by the size of the stress-sensitivity coefficients 111 and 11. The three tests confirm that the propagation velocity typically increases if either propagation direction or polarization direction of the seismic wave is aligned with the direction of the applied compressive stress. The uni-axial strain experiment closely simulates the reservoir compaction. The velocity change computation depends on the TOE parameters from measurement. The predicted velocity changes are large enough to be using detectable by high quality seismic data. Therefore, observation of spatial and temporal seismic velocity changes is a possible monitoring tool for stress change. The shear wave, especially the pseudo shear wave is sensitive to horizontal stress, and is a good indicator for horizontal stress change. onclusions Figure 5: Relative velocity change under tri-axial stress. Figure 5 shows the predicted velocity change under triaxial stress changes. The rock is simultaneously shortened in vertical direction, while expanded in horizontal directions. We chose the stress path (ratio between horizontal and vertical stress change) to closely simulate the stress path experienced during overburden stretching. However, in order to stay consistent with the two other experiments, we kept a vertical strain of -.% in The presented method provides a way to predict seismic velocity change where stress and strain changes are known. Therefore the work presented here is useful, in combination with reservoir geomechanical modeling, in forward modeling and feasibility studies. The rock-physics model can be used to predict subsalt velocity reduction as well as spatial variations in the anisotropic parameters (Sengupta et al., 9) and time-lapse stress effects in seismic data (Herwanger and Horne, 9). The work confirms the strong influence of both vertical and horizontal stress on seismic velocity and should act as a warning to only consider hydrostatic stress changes in seismic applications for stress-field monitoring. 1 SEG SEG Denver 1 Annual Meeting 6

EDITED REFERENES Note: This reference list is a copy-edited version of the reference list submitted by the author. Reference lists for the 1 SEG Technical Program Expanded Abstracts have been copy edited so that references provided with the online metadata for each paper will achieve a high degree of linking to cited sources that appear on the Web. REFERENES Dillen, M. W. P., H. M. A. ruts, J. Groenenboom, J. T. Fokkema, and A. J. W. Duijndam, 1999, Ultrasonic velocity and shear-wave splitting behavior of a olton sandstone under a changing triaxial stress: Geophysics, 64, 163 167, doi:1.119/1.1444664. Herwanger, J.., and S. A. Horne, 9, Linking reservoir geomechanics and time-lapse seismic: Predicting anisotropic velocity changes and seismic attributes: Geophysics, 74, no. 4, W13 W, doi:1.119/1.3147. Holt, R.M., Fjaer, E., Nes, O.-M., and Stenebråten, J.F., 8, Strain sensitivity of wave velocities in sediments and sedimentary rocks, ARMA 8-91 Prioul, R., A. Bakulin, and. Bakulin, 4, Nonlinear rock physics model for estimation of 3D subsurface stress in anisotropic formations: Theory and laboratory verification: Geophysics, 69, 415 45, doi:1.119/1.17761. Prioul, R., and T. Lebrat, 4, alibration of velocity-stress relationships under hydrostatic stress for their use under non-hydrostatic conditions, 74th Annual International Meeting, SEG, Expanded Abstracts, 1698 171. Røste, T., A. Stovas, and M. Landro, 5, Estimation of layer thickness and velocity changes using 4D prestack seismic data: 67th Meeting, EAGE, Expanded Abstracts, 1 Scott, T. E., Jr., A. Ma, and J.-. Roegiers, 1993, Acoustic velocity changes during shear enhanced compaction of sandstone: International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts, 3, no. 7, 763 769, doi:1.116/148-96(93)9-e. Scott, T.E., Azeemuddin, M., Zaman, M., and Roegiers, J.-., 1998, Stress-induced variations in acoustic velocities in chalk: International Journal of Rock Mechanics & Mineral Science, 35, No.4-5, Paper No. 15 Sengupta, M., R. Bachrach, and A. Bakulin, 9, Relationship between velocity and anisotropy perturbations and anomalous stress field around salt bodies: The Leading Edge, 8, no. 5, 6 66. Sinha, B. K., and S. Kostek, 1996, Stress-induced azimuthal anisotropy in borehole flexural waves: Geophysics, 61, 1899 197, doi:1.119/1.144415. Tsvankin, I., 1997, Anisotropic parameters and P-wave velocity for orthorhombic media: Geophysics, 6, 19 139, doi:1.119/1.144431. Thomsen, L., 1986, Weak elastic anisotropy: Geophysics, 51, 1, 1954 1966, doi:1.119/1.14451. Thurston, R., 1974, Waves in solids in W. Truesdell, ed., Encyclopedia of physics: Springer-erlag, Ia4 1 SEG SEG Denver 1 Annual Meeting 61