Comparative analysis of seismic P-wave and S-wave inversion capabilities
DAI Fucai1,2, ZHANG Feng1,2, QIAN Zhongping3,4, SUN Pengyuan3,4, ZOU Zhen3,4, LI Xiangyang1,2,3
1. State Key Laboratory of Oil and Gas Resources and Exploration, China University of Petroleum (Beijing), Beijing 102249, China; 2. CNPC Key Laboratory of Geophysical Exploration, China University of Petroleum (Beijing), Beijing 102249, China; 3. BGP Inc., CNPC, Zhuozhou, Hebei 072750, China; 4. National Engineering Research Center for Oil and Gas Exploration Computer Software, Beijing 100088, China
Abstract：At present, seismic exploration of oil and gas mainly uses the information of seismic P-wave, which has high uncertainty in the fields of multi-parameter inversion, complex and unconventional oil and gas reservoir prediction, and fluid identification. In recent years, the development of S-wave (SV-SV wave and SH-SH wave) vibroseis technology has greatly improved the quality of S-wave data, providing necessary conditions for the development and wide application of seismic S-wave exploration. However, compared with the traditional PP wave inversion and PP-PS wave joint inversion, the inversion ability of seismic S-wave is not clear. This paper first compares and analyzes the accuracy of the approximate formula of the reflection coefficient of P-wave, PSV wave, and S-wave represented by different elastic parameters and then uses the approximate formula of reflection coefficient to construct the linear inversion framework for different elastic parameters. Combining the inversion covariance matrix and the inversion condition number, this paper compares and analyzes the uncertainty and ill-posed nature of seismic P-wave and S-wave in the inversion of different elastic parameters. The results show that the uncertainty of shear modulus and density inversion using PP wave is the largest, and the uncertainty of PP wave inversion is still high even if using large-angle data. PSV wave inversion can effectively reduce the ill-posed nature of inversion, but it is difficult to be independently applied to actual data inversion. The joint inversion of PP wave and PSV wave can effectively reduce the uncertainty and ill-posed nature of inversion, but the joint inversion effect depends on the matching accuracy of P-wave and S-wave. SH-SH wave and SV-SV wave have obvious advantages in inversion of S-wave impedance, S-wave velocity, shear modulus, and density, which can effectively reduce the demand for input data angle. The results can provide a theoretical basis for the study of S-wave inversion methods.
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