WANG Xian, MAO Haibo, QIN Liming, XU Yanan, DANG Zhimin, SU Yanli. Application of multiple mineral rock physical modeling in the prediction of Jimusar shale oil reservoir in Xinjiang[J]. CHINA MINING MAGAZINE, 2022, 31(6): 172-179. DOI: 10.12075/j.issn.1004-4051.2022.06.019
    Citation: WANG Xian, MAO Haibo, QIN Liming, XU Yanan, DANG Zhimin, SU Yanli. Application of multiple mineral rock physical modeling in the prediction of Jimusar shale oil reservoir in Xinjiang[J]. CHINA MINING MAGAZINE, 2022, 31(6): 172-179. DOI: 10.12075/j.issn.1004-4051.2022.06.019

    Application of multiple mineral rock physical modeling in the prediction of Jimusar shale oil reservoir in Xinjiang

    • The shale oil of Permian Lucaogou Formation of Jimusar Depression in Xinjiang is one of the large-scale developed land-based debris sedimentary shale reservoir in China.The reservoir in this area is characterized by large buried depth, poor physical property and strong heterogeneity.The difference of impedance between the effective reservoir and the surrounding rock is so small that it is difficult to discriminate the reservoir using the conventional inversion method.From the perspective of rock physics analysis, the logging response characteristics of the reservoir are analyzed and several sensitive parameters are selected.Most traditional modeling of rock physics is based on simple lithological combinations such as sandstone and mudstone, lacking effective rock physics modeling methods in the face of complex lithology.This paper extends the application range of Xu White model under the condition of multiple mineral combinations to calculate more accurate rock physics parameters and provide more sensitive parameters for reservoir tracking.The seismic meme inversion method is adopted, which is no longer limited to a single parameter such as impedance.The vertical resolution also breaks the theoretical limit of the traditional inversion method, which provides a new idea for the inversion of the thin reservoir.
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