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Optimization of CO2 flooding in tight oil based on improved machine learning

Liyang Song Jiwei Wang

能源地球科学（英文）2026，Vol.7Issue(3)：65-79,15.

能源地球科学（英文）2026，Vol.7Issue(3)：65-79,15.DOI:10.1016/j.engeos.2025.100511

Optimization of CO2 flooding in tight oil based on improved machine learning

Liyang Song ¹Jiwei Wang¹

作者信息

1. Sinopec Petroleum Exploration and Production Research Institute,Beijing,100083,China
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摘要

关键词

CO2/Oil displacement/Machine learning/Scheme optimization/Tight oil

Key words

CO2/Oil displacement/Machine learning/Scheme optimization/Tight oil

引用本文复制引用

Liyang Song,Jiwei Wang..Optimization of CO2 flooding in tight oil based on improved machine learning[J].能源地球科学（英文）,2026,7(3):65-79,15.

基金项目

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Authors are currently employed by SINOPEC.The research project was funded by the Youth Science Foundation Project of the National Natural Science Foundation of China(No.52204070). （No.52204070）

能源地球科学（英文）

ISSN：2666-7592

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