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Characterization and optimization of oil-gas interfacial tension during CO_(2)/N_(2) injection in heavy oil reservoirs:Experimental study and regression model

Chao Zhang Chao Yu Zi-Han Gu Kun Liu Ping-Keng Wu Zhao-Min Li

Petroleum Science2025，Vol.22Issue(6)：P.2516-2534,19.

Petroleum Science2025，Vol.22Issue(6)：P.2516-2534,19.DOI:10.1016/j.petsci.2025.03.032

Characterization and optimization of oil-gas interfacial tension during CO_(2)/N_(2) injection in heavy oil reservoirs:Experimental study and regression model

Chao Zhang ¹Chao Yu ¹Zi-Han Gu ¹Kun Liu ²Ping-Keng Wu ³Zhao-Min Li⁴

作者信息

1. Key Laboratory of Unconventional Oil&Gas Development(China University of Petroleum(East China)),Ministry of Education,Qingdao,266580,Shandong,PR China School of Petroleum Engineering,China University of Petroleum(East China),Qingdao,266580,Shandong,PR China
2. China National Logging Corporation,Southwest Branch,Chongqing,400021,PR China
3. Department of Chemical Engineering,Illinois Institute of Technology,Chicago,IL,60616,United States
4. Key Laboratory of Unconventional Oil&Gas Development(China University of Petroleum(East China)),Ministry of Education,Qingdao,266580,Shandong,PR China School of Petroleum Engineering,China University of Petroleum(East China),Qingdao,266580,Shandong,PR China Bingtuan Energy Development Institute,Shihezi University,Shihezi,832000,Xinjiang,PR China
折叠

摘要

关键词

CO_(2)/N_(2)/Interfacial tension/Correlation/IFT cloud map/Multiparameter

分类

化学化工

引用本文复制引用

Chao Zhang,Chao Yu,Zi-Han Gu,Kun Liu,Ping-Keng Wu,Zhao-Min Li..Characterization and optimization of oil-gas interfacial tension during CO_(2)/N_(2) injection in heavy oil reservoirs:Experimental study and regression model[J].Petroleum Science,2025,22(6):P.2516-2534,19.

基金项目

supported by National Natural Science Foundation of China(52204068 and U20B6003) （52204068 and U20B6003）

the Program for Scientific Research Innovation Team of Young Scholars in Colleges and Universities of Shandong Province(2022KJ067)。（2022KJ067）

Petroleum Science

ISSN：1672-5107

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