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Improvement and application of preprocessing technique for multitrace seismic impedance inversion

  • Seismic Inversion
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Abstract

The conventional poststack inversion uses standard recursion formulas to obtain impedance in a single trace. It cannot allow for lateral regularization. In this paper, ID edge-preserving smoothing (EPS) filter is extended to 2D/3D for setting precondition of impedance model in impedance inversion. The EPS filter incorporates a priori knowledge into the seismic inversion. The a priori knowledge incorporated from EPS filter preconditioning relates to the blocky features of the impedance model, which makes the formation interfaces and geological edges precise and keeps the inversion procedure robust. Then, the proposed method is performed on two 2D models to show its feasibility and stability. Last, the proposed method is performed on a real 3D seismic work area from Southwest China to predict reef reservoirs in practice.

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Acknowledgments

This work is supported by the following funds: The National Key S&T Special Projects (No. 2017ZX05008004-008), the National Natural Science Foundation of China (No. 41874146), the National Natural Science Foundation of China (No. 41704134), the Innovation Team of Youth Scientific and Technological in Southwest Petroleum University (No. 2017CXTD08), and the Initiative Projects for Ph.D. in China West Normal University (No. 19E063). We also are grateful to the reviewers and editors for their constructive comments on this paper.

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Correspondence to Zhou Lu.

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Zhong Fei-Yan is a Lecturer. She began to study for Ph.D. in the school of Geoscience and Technology at Southwest Petroleum University in 2016. She obtained M.S. from the Department of Electrical and Computer Engineering at Purdue University in 2011. Her research area is geodetection and information technology. E-mail: yzfy2000@163.com

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Fei-Yan, Z., Lu, Z., Rong-Huo, D. et al. Improvement and application of preprocessing technique for multitrace seismic impedance inversion. Appl. Geophys. 18, 54–62 (2021). https://doi.org/10.1007/s11770-020-0840-8

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  • DOI: https://doi.org/10.1007/s11770-020-0840-8

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