Spherical-wave elastic inversion in transversely isotropic media with a vertical symmetry axis

Author:

Cheng Guangsen1,He Chuanlin1,Liang Zhanyuan1,Yin Xingyao2,Zhang Xiaoyu1,Zheng Yi1

Affiliation:

1. Qilu University of Technology (Shandong Academy of Sciences), Institute of Oceanographic Instrumentation , Qingdao, Shandong 266100 , China

2. China University of Petroleum (East China), School of Geosciences, , Qingdao, Shandong 266580 , China

Abstract

SUMMARY Although subsurface media are usually assumed to be isotropic, anisotropy is ubiquitous in crustal rocks and leads to the variation of seismic response with direction. Transversely isotropic media with a vertical symmetry axis (VTI media) are widely found in the real world, such as in textured shale reservoirs. Plane-wave reflection coefficients (PRCs) in VTI media have been widely exploited in amplitude variation with offset (AVO) inversion to estimate the elastic and anisotropy parameters of subsurface media. However, the PRCs in VTI media meet some fundamental problems, especially at near-critical or post-critical incidence angles where the spherical-wave effect is significant. To consider the wave front curvature, a complex spherical-wave reflection coefficient (SRC) in VTI media is derived. To better understand the spherical-wave seismic response in VTI media, we investigate the dependence of the complex SRC on frequency, reflector depth and Thomsen anisotropy parameters ($\varepsilon $ and $\delta $). Based on a complex convolution model, a spherical-wave AVO inversion approach in VTI media is proposed to estimate the vertical (symmetry-axis) compressional and shear wave velocities (P and S waves), density and Thomsen anisotropy parameters from observed seismic data with different incidence angle and frequency components. Synthetic data with Gaussian random noise are used to verify the robustness of the spherical-wave AVO inversion approach in VTI media. Field data examples show that the proposed approach can produce reasonable inversion results that match well with the well-logging data.

Funder

Natural Science Foundation of China

Natural Science Foundation of Shandong Province

Publisher

Oxford University Press (OUP)

Subject

Geochemistry and Petrology,Geophysics

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