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Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data

Fuyong Wang Xianmu Hou

能源地球科学（英文）2025，Vol.6Issue(2)：118-130,13.

能源地球科学（英文）2025，Vol.6Issue(2)：118-130,13.DOI:10.1016/j.engeos.2025.100383

Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data

Fuyong Wang ¹Xianmu Hou²

作者信息

1. School of Resources and Safety Engineering,University of Science and Technology Beijing,Beijing,100083,China
2. Sinopec Chongqing Fuling Shale Gas Exploration and Development Co.,Ltd.,Chongqing,408000,China||China University of Petroleum,Beijing,102249,China
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摘要

关键词

Carbonate reservoir/Well logs/Machine learning/Permeability/Porosity

Key words

Carbonate reservoir/Well logs/Machine learning/Permeability/Porosity

引用本文复制引用

Fuyong Wang,Xianmu Hou..Machine learning-based prediction of physical parameters in heterogeneous carbonate reservoirs using well log data[J].能源地球科学（英文）,2025,6(2):118-130,13.

基金项目

The research project was funded by Fundamental Research Funds for the Central Universities(No.00007851). （No.00007851）

能源地球科学（英文）

ISSN：2666-7592

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