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Marine Origin Petroleum Geology >

2025 , Vol. 30 >Issue 2: 177 - 184

DOI: https://doi.org/10.3969/j.issn.1672-9854.2025.02.008

Bayesian direct inversion method for brittleness index of shale oil reservoir based on prestack seismic data

  • ZHANG Hongjie , 1 ,
  • YANG Guang , 1 ,
  • WU Hao 1 ,
  • SUN Long 1 ,
  • LIU Zhijun 1 ,
  • GAO Wei 2 ,
  • QIAO Chuanxiang 2 ,
  • ZENG Yongjian 3
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  • 1. Institute of Geophysical Exploration, PetroChina Jilin Oilfield Company
  • 2. The Exploration Department, PetroChina Jilin Oilfield Company
  • 3. Beijing Precise Energy Technology Co., Ltd
YANG Guang, MSc, Senior Engineer, mainly engaged in petroleum geology and exploration deployment. Add: No. 1568, Yuanjiang West Road, Ningjiang District, Songyuan, Jilin 138001, China. E-mail:

ZHANG Hongjie, MSc, Senior Engineer, mainly engaged in research on reservoir geophysics. Add: No. 1568, Yuanjiang West Road, Ningjiang District, Songyuan, Jilin 138001, China. E-mail:

Received date: 2024-08-26

  Revised date: 2025-02-24

  Online published: 2025-05-13

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Abstract

Reasonable prediction of fracture parameters and brittleness index plays an indicative role in the hydraulic fracturing process in the exploration and development of shale oil reservoirs and lays the foundation for the comprehensive evaluation of sweet spots in a study area. Starting from the anisotropy theory, based on the linear sliding theory, scattering theory and Born approximation theory, this paper derives the anisotropic reflection coefficient equation of HTI media containing the brittleness index of Young's modulus to Poisson's ratio, Poisson's ratio, density, quasi-fracture normal weakness and quasi-fracture tangential weakness. And under the Bayesian framework, the expectation maximization algorithm introduces the conditional expectation value of the implicit variable into the random simulation of the model parameters at each iteration to solve the problem that the likelihood function can not take extreme values when the posterior distribution function of the model parameters is implicit or nonlinear. Compared with the traditional method of obtaining the maximum a posteriori probability solution, the introduction of the expectation maximization algorithm can obtain more stable model parameter inversion results, and finally realize the direct prestack seismic inversion of the brittleness index and fracture parameters of shale oil reservoirs. Model testing and actual data application verify the accuracy and applicability of the inversion method proposed in this paper.

Key words： shale oil reservoir; fracture parameters; brittleness index; Bayesian theory; direct inversion

Cite this article

ZHANG Hongjie , YANG Guang , WU Hao , SUN Long , LIU Zhijun , GAO Wei , QIAO Chuanxiang , ZENG Yongjian . Bayesian direct inversion method for brittleness index of shale oil reservoir based on prestack seismic data[J]. Marine Origin Petroleum Geology, 2025 , 30(2) : 177 -184 . DOI: 10.3969/j.issn.1672-9854.2025.02.008

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