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AVO Detuning Effect Analysis Based on Sparse Inversion

Author

Listed:
  • Shiyou Liu

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266000, China
    Hainan Branch of CNOOC China Limited, Haikou 570100, China)

  • Weiqi Song

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266000, China)

  • Xinrui Zhou

    (School of Geosciences, Yangtze University, Wuhan 430100, China)

  • Anju Yan

    (Hainan Branch of CNOOC China Limited, Haikou 570100, China)

  • Xixin Wang

    (School of Geosciences, Yangtze University, Wuhan 430100, China)

  • Yangsen Li

    (Hainan Branch of CNOOC China Limited, Haikou 570100, China)

Abstract

The wave field characteristics of thin reservoirs are extremely complex due to the tuning and interference between the top and bottom interfaces of the reservoirs, which leads to large uncertainty in thin layer AVO (Amplitude Versus Offset) analysis. In order to reduce the uncertainty of thin layer AVO analysis, we study the uncertainty dominant factors of the effect of thin layer on the AVO response characteristics from the aspects of theoretical derivation and forward simulation. Based on the research results, we use the AVO fitting forward method with offset and tuning utility as the joint inversion operator to establish an AVO detuning effect method, based on the sparse fitting inversion strategy, and study the objective function of the fitting inversion method. We optimize the sparsity constraints and the sparsity method to reduce the non-independence of multiparameter variables and seismic data, and the noise of inversion. Through the verification analysis of the model using actual data, the AVO detuning effect method studied in this paper has a correct and reasonable technical theory and obvious application effect.

Suggested Citation

  • Shiyou Liu & Weiqi Song & Xinrui Zhou & Anju Yan & Xixin Wang & Yangsen Li, 2022. "AVO Detuning Effect Analysis Based on Sparse Inversion," Energies, MDPI, vol. 15(14), pages 1-14, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:14:p:5202-:d:865548
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    Cited by:

    1. Vu, Anh Ngoc, 2023. "Demand reduction campaigns for the illegal wildlife trade in authoritarian Vietnam: Ungrounded environmentalism," World Development, Elsevier, vol. 164(C).

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