A new approach for predicting oil mobilities and unveiling their controlling factors in a lacustrine shale system: Insights from interpretable machine learning model

Wang, Enze; Fu, Yingxiao; Guo, Tonglou; Li, Maowen

doi:10.1016/j.fuel.2024.132958

Fuel

2025

DOI: 10.1016/j.fuel.2024.132958

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A new approach for predicting oil mobilities and unveiling their controlling factors in a lacustrine shale system: Insights from interpretable machine learning model

Enze Wang,

Yingxiao Fu,

Tonglou Guo

et al.

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Cited by 4 publications

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Novel model for quantitating the hydrocarbon generation, expulsion, retention, and mobility characteristic of lacustrine shale during thermal evolution

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A new approach for predicting oil mobilities and unveiling their controlling factors in a lacustrine shale system: Insights from interpretable machine learning model

Cited by 4 publications

References 79 publications

Diahopane and diasterane as the proxies for paleoenvironment, hydrocarbon generation condition, and shale oil accumulation

Diahopane and diasterane as the proxies for paleoenvironment, hydrocarbon generation condition, and shale oil accumulation

Novel model for quantitating the hydrocarbon generation, expulsion, retention, and mobility characteristic of lacustrine shale during thermal evolution

On the generation of light hydrocarbons from the closed pores of Jurassic strata, Sichuan Basin

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