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Non-Stationary Random Medium Parameter Estimation of Petrophysical Parameters Driven by Seismic Data

Author

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  • Ying Lin

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Guangzhi Zhang

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Minmin Huang

    (Shenzhen Branch, CNOOC (China) Co., Ltd., Shenzhen 518067, China)

  • Baoli Wang

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China
    Key Laboratory of Deep Oil and Gas, China University of Petroleum (East China), Qingdao 266580, China)

  • Siyuan Chen

    (College of Geophysics, China University of Petroleum (Beijing), Beijing 102249, China)

Abstract

The estimation of non-stationary random medium parameters of petrophysical parameters is the key to the application of random medium theory in fine seismic exploration. We proposed a method for estimating non-stationary random medium parameters of petrophysical parameters using seismic data. Based on the linear petrophysical model, the relationship between seismic data and porosity, clay volume, and water saturation in the random medium was described, and the principle and method of estimating the autocorrelation parameters of the petrophysical parameter random medium were introduced in this study. Subsequently, the specific steps of applying the power spectrum method, for parameter estimation in non-stationary random media with petrophysical parameters, were explained. The feasibility and correctness of the method were verified through the estimation test of the two-dimensional theoretical model. Eventually, the estimation test of non-stationary random medium parameters of petrophysical parameters was carried out by field seismic data, and the results indicated that the non-stationary random medium parameters can better portray the information of subsurface medium petrophysical parameters. The method can provide a reference for the construction of a priori information on petrophysical parameters, and it can also provide a theoretical basis for the in-depth application of random medium theory to practical data.

Suggested Citation

  • Ying Lin & Guangzhi Zhang & Minmin Huang & Baoli Wang & Siyuan Chen, 2022. "Non-Stationary Random Medium Parameter Estimation of Petrophysical Parameters Driven by Seismic Data," Energies, MDPI, vol. 15(13), pages 1-21, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:13:p:4849-:d:853926
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    Cited by:

    1. Hao Xu & Xinjiang Yu & Fei Cheng & Yuxi Ma & Jialiang Li & Xiaohuan Jiang, 2023. "Effects of Earth–Rock Dam Heterogeneity on Seismic Wavefield Characteristics," Energies, MDPI, vol. 16(5), pages 1-16, March.

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