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Runhai Feng

affiliation not provided to SSRN

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Data-Driven Interpretable Machine Learning for Predicting Porosity and Permeability of Tight Sandstone Reservoir

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Data-Driven Interpretable Machine Learning for Predicting Porosity and Permeability of Tight Sandstone Reservoir

Number of pages: 54 Posted: 15 Apr 2024
Liu Cao, Fujie Jiang, Lina Huo, Xiaowei Zheng Xiaowei Zheng, Runhai Feng, Di Chen, Jingqi Zhou, Renda Huang, Yong Ma, Yuchao Qiu, Zhimin Jin and Hua Bai
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Aarhus University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Peking University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
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Tight sandstone, porosity and permeability, Interpretable machine learning, Permutation Importance-Set (PI-Set), Stacking, Basin-level prediction model

Data-Driven Interpretable Machine Learning for Predicting Porosity and Permeability of Tight Sandstone Reservoir

Number of pages: 71 Posted: 15 May 2024
Liu Cao, Fujie Jiang, Lina Huo, Xiaowei Zheng Xiaowei Zheng, Runhai Feng, Di Chen, Jingqi Zhou, Renda Huang, Yong Ma, Yuchao Qiu, Zhimin Jin and Hua Bai
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Aarhus University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Peking University, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 32 (1,326,242)

Abstract:

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tight sandstone, porosity and permeability, interpretable machine learning, Permutation Importance-Set (PI-Set), Stacking, Basin-level prediction model