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Progress in Geophysics. Core
(Accepted Version) Online First Publishing Date: 2023-11-02 16:34:03

Reservoir pore structure characterization and productivity prediction based on machine learningChinese Full Text

Gao Feiming;Niu Kesen;Sun Xiaoping;Li Jiaqi;Xiao Liang;

Abstract: Reservoir pore structure has an important influence on seepage capacity and oil production capacity. Mercury injection experiment is an important method to study reservoir pore structure， but it cannot be carried out in large quantities due to factors such as limited number of cores， high experiment cost and mercury toxicity. Through the analysis of the mercury injection experiment data， it is found that a series of mercury injection pressure is generally a fixed distribution， and the adjacent m... More
Keywords：

characterization of pore structure; machine learning; mercury injection experiment; pore throat radius spectrum; reservoir productivity;

  • Series：

    (A) Mathematics/ Physics/ Mechanics/ Astronomy; (B) Chemistry/ Metallurgy/ Environment/ Mine Industry

  • Subject：

    Geology; Petroleum, Natural Gas Industry

  • Classification Code：

    TE328;P631.81

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