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Perspectives of Machine Learning Development on Kerogen Molecular Model Reconstruction and Shale Oil/Gas Exploitation 期刊论文
ENERGY & FUELS, 2023, 卷号: 37, 期号: 1, 页码: 98-117
Authors:  Kang DL(康东亮);  Ma J(马骏);  Zhao YP(赵亚溥)
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Predicting the Molecular Models, Types, and Maturity of Kerogen in Shale Using Machine Learning and Multi-NMR Spectra 期刊论文
ENERGY & FUELS, 2022, 页码: 13
Authors:  Kang DL(康东亮);  Zhao YP(赵亚溥)
Adobe PDF(3734Kb)  |  Favorite  |  View/Download：224/63  |  Submit date：2022/08/10
Combining Image Recognition and Simulation To Reproduce the Adsorption/Desorption Behaviors of Shale Gas 期刊论文
ENERGY & FUELS, 2020, 卷号: 34, 期号: 1, 页码: 258-269
Authors:  Lin K(林岿);  Huang XF(黄先富);  Zhao YP(赵亚溥)
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Demulsification of Crude Oil-in-Water Emulsions Driven by Graphene Oxide Nanosheets 期刊论文
ENERGY & FUELS, 2015, 卷号: 29, 期号: 7, 页码: 4644-4653
Authors:  Liu, Juan;  Li, Xiaocheng;  Jia, Weihong;  Li, Zhiyun;  Zhao, Yapu;  Ren, Sili;  Ren, SL (reprint author), Chinese Acad Sci, Lanzhou Inst Chem Phys, State Key Lab Solid Lubricat, Lanzhou 730000, Peoples R China.
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Molecular Dynamics Simulation of Self-Aggregation of Asphaltenes at an Oil/Water Interface: Formation and Destruction of the Asphaltene Protective Film 期刊论文
ENERGY & FUELS, 2014, 卷号: 29, 期号: 2, 页码: 1233-1242
Authors:  Liu J;  Zhao YP(赵亚溥);  Ren SL;  Ren, SL (reprint author), Chinese Acad Sci, Lanzhou Inst Chem Phys, State Key Lab Solid Lubricat, Lanzhou 730000, Peoples R China.
View  |  Adobe PDF(6252Kb)  |  Favorite  |  View/Download：604/252  |  Submit date：2015/04/28