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Seismic Anisotropic Fluid Identification in Fractured Carbonate Reservoirs

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Listed:
  • Xiaolong Guo

    (Research Institute of Petroleum Exploration and Development, PetroChina, Beijing 100083, China)

  • Bin Yan

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China)

  • Juyi Zeng

    (Guizhou Energy Industry Research Institute Co., Ltd., Guiyang 550000, China)

  • Guangzhi Zhang

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China)

  • Lin Li

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China)

  • You Zhou

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China)

  • Rui Yang

    (School of Geosciences, China University of Petroleum (East China), Qingdao 266580, China)

Abstract

Seismic fluid identification plays an important role in reservoir exploration and development. Natural vertical fractures are common in carbonate rocks, it is essential to consider fracture-induced anisotropy in the fluid identification of fractured carbonate reservoirs. We have developed a novel Bayesian elastic impedance variation with an angle and azimuth (EIVAZ) inversion approach for directly estimating the fracture fluid indicator ( FFI ), which can avoid cumulative errors produced in the indirect calculation process. Under the assumption of weak anisotropy and a small incident angle, we first derive a new approximate PP-wave coefficient for horizontal transverse isotropic (HTI) media. Analysis shows that the new approximation has reasonable accuracy at angles of incidence less than 30°. To estimate the FFI from observed azimuthal P-wave seismic reflection data, we further deduce the azimuthal EI equation and establish a two-step inversion workflow. Finally, the proposed approach is demonstrated by tests on a synthetic data example and a field data set of a fractured carbonate reservoir in the Sichuan Basin (China). Results show that the model parameters can be reasonably estimated even with moderate noise levels. The estimated FFI and quasi-normal fracture weakness show relatively high values at the location of reservoirs, which reliably indicate a fractured gas-bearing reservoir.

Suggested Citation

  • Xiaolong Guo & Bin Yan & Juyi Zeng & Guangzhi Zhang & Lin Li & You Zhou & Rui Yang, 2022. "Seismic Anisotropic Fluid Identification in Fractured Carbonate Reservoirs," Energies, MDPI, vol. 15(19), pages 1-15, September.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:19:p:7184-:d:929195
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    References listed on IDEAS

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    1. Golsanami, Naser & Jayasuriya, Madusanka N. & Yan, Weichao & Fernando, Shanilka G. & Liu, Xuefeng & Cui, Likai & Zhang, Xuepeng & Yasin, Qamar & Dong, Huaimin & Dong, Xu, 2022. "Characterizing clay textures and their impact on the reservoir using deep learning and Lattice-Boltzmann simulation applied to SEM images," Energy, Elsevier, vol. 240(C).
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