2004
DOI: 10.1190/1.1707061
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Nonlinear rock physics model for estimation of 3D subsurface stress in anisotropic formations: Theory and laboratory verification

Abstract: We develop a rock physics model based on nonlinear elasticity that describes the dependence of the effective stiffness tensor as a function of a 3D stress field in intrinsically anisotropic formations. This model predicts the seismic velocity of both P-and S-waves in any direction for an arbitrary 3D stress state. Therefore, the model overcomes the limitations of existing empirical velocity-stress models that link P-wave velocity in isotropic rocks to uniaxial or hydrostatic stress.To validate this model, we a… Show more

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Cited by 196 publications
(133 citation statements)
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References 26 publications
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“…For instance, [11] present a 1D empirical formulation to describe vertical travel time perturbation due to changes in vertical strain and vertical velocity from 4D seismic data. Authors [12][13][14] use third-order elasticity theory to characterize 3D stress dependence elasticity and anisotropy. Authors [15][16][17] introduce nonlinear models consistent with empirically derived phenomenological equations [18].…”
Section: Rock Physics Modelmentioning
confidence: 99%
“…For instance, [11] present a 1D empirical formulation to describe vertical travel time perturbation due to changes in vertical strain and vertical velocity from 4D seismic data. Authors [12][13][14] use third-order elasticity theory to characterize 3D stress dependence elasticity and anisotropy. Authors [15][16][17] introduce nonlinear models consistent with empirically derived phenomenological equations [18].…”
Section: Rock Physics Modelmentioning
confidence: 99%
“…Resulting effective stress changes will alter the seismic properties of the rocks involved (Hornby, 1998;Sayers, 2002;Prioul et al, 2004;Ciz & Shapiro, 2009). This makes time lapse seismic an important tool to monitor subsurface alterations (e.g., LandrĂž 2001) and thereby improving recovery or storage capacity by optimal placement of new wells.…”
Section: Introductionmentioning
confidence: 99%
“…Coupled fluid-flow and geomechanical numerical simulation algorithms integrate the influence of multi-phase fluid-flow as well as deviatoric stress and strain to provide more accurate models of the spatial and temporal behaviour of various rock properties within and outside the reservoir (e.g., Herwanger et al 2010). Linking changes in reservoir physical properties, such as porosity, permeability and bulk modulus, to changes in seismic attributes is accomplished via rock physics models (e.g., Prioul et al 2004) to generate socalled dynamic (high strain rate and low strain magnitude suitable for seismic frequencies) elastic models.…”
Section: Introductionmentioning
confidence: 99%