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Rock physics-guided wide azimuth seismic inversion technology is a crucial method for predicting the distribution of oil and gas in complex fractured reservoirs, where the precise construction of oil and gas sensitive parameters is key. Current research primarily focuses on the application and extension of conventional oil and gas sensitive parameters in fractured reservoirs, yet there is a lack of joint well-seismic inversion methods suitable for identifying oil and gas characteristics in complex fractured reservoirs. This is mainly due to insufficient consideration of the impact of complex fracture systems during the construction of fluid-sensitive parameters. This study targets a group of shale reservoirs with vertical fractures, termed as orthorhombic anisotropic media. Based on the anisotropic Gassmann equation and Schoenberg’s linear slip theory, a new model of oil and gas sensitive parameters was developed, incorporating the distribution of pore fluids and the characteristics of fracture anisotropy to quantify the relationship between reservoir sensitive parameters and geophysical parameters. Through sensitivity testing of various fluid parameters and their application in real data, this study confirms the effectiveness of the proposed fluid factor in indicating the distribution of fluids in the reservoir. Furthermore, based on the reflection coefficient equation of orthorhombic anisotropic media, and by introducing constraints related to rock physics parameters and low-frequency information regularization, a new inversion method of wide azimuth seismic was developed. Coupled with the fine processing of wide azimuth seismic data, this research carried out a seismic fluid identification study for complex fractured reservoirs. The application of the model and actual data validated the method's effectiveness and reliability. The high congruence between the new oil and gas sensitive parameter inversion results and well log interpretations provides a novel approach for the direct prediction of oil and gas in complex fractured reservoirs.

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Construction and Identification of Oil and Gas Sensitive Parameters in Shale Reservoirs with Vertical Fractures Based on Wide Azimuth Seismic

  • 会议论文

  • 发表日期：

    2025年

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  • Hong-xue Zhang,
  • Huan-fu Du,
  • Xiao-kai Xu,
  • Xing-yao Yin

摘要

Rock physics-guided wide azimuth seismic inversion technology is a crucial method for predicting the distribution of oil and gas in complex fractured reservoirs, where the precise construction of oil and gas sensitive parameters is key. Current research primarily focuses on the application and extension of conventional oil and gas sensitive parameters in fractured reservoirs, yet there is a lack of joint well-seismic inversion methods suitable for identifying oil and gas characteristics in complex fractured reservoirs. This is mainly due to insufficient consideration of the impact of complex fracture systems during the construction of fluid-sensitive parameters. This study targets a group of shale reservoirs with vertical fractures, termed as orthorhombic anisotropic media. Based on the anisotropic Gassmann equation and Schoenberg’s linear slip theory, a new model of oil and gas sensitive parameters was developed, incorporating the distribution of pore fluids and the characteristics of fracture anisotropy to quantify the relationship between reservoir sensitive parameters and geophysical parameters. Through sensitivity testing of various fluid parameters and their application in real data, this study confirms the effectiveness of the proposed fluid factor in indicating the distribution of fluids in the reservoir. Furthermore, based on the reflection coefficient equation of orthorhombic anisotropic media, and by introducing constraints related to rock physics parameters and low-frequency information regularization, a new inversion method of wide azimuth seismic was developed. Coupled with the fine processing of wide azimuth seismic data, this research carried out a seismic fluid identification study for complex fractured reservoirs. The application of the model and actual data validated the method's effectiveness and reliability. The high congruence between the new oil and gas sensitive parameter inversion results and well log interpretations provides a novel approach for the direct prediction of oil and gas in complex fractured reservoirs.