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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)
Adobe PDF(13704Kb)  |  Favorite  |  View/Download：177/39  |  Submit date：2023/02/03
Defining kerogen maturity from orbital hybridization by machine learning 期刊论文
FUEL, 2022, 卷号: 310, 页码: 10
Authors:  Ma J(马俊);  Kang DL(康东亮);  Wang XH(王晓荷);  Zhao YP(赵亚溥)
Adobe PDF(4071Kb)  |  Favorite  |  View/Download：296/65  |  Submit date：2021/11/29
Kerogen maturity  Orbital hybridization  Machine learning  Quantum chemistry  
Mechanical response of kerogen at high strain rates 期刊论文
INTERNATIONAL JOURNAL OF IMPACT ENGINEERING, 2021, 卷号: 155, 页码: 8
Authors:  Wang XH(王晓荷);  Huang XF(黄先富);  Gao MN(高梦霓);  Zhao YP(赵亚溥)
Adobe PDF(5656Kb)  |  Favorite  |  View/Download：261/66  |  Submit date：2021/08/16
Kerogen aggregate in shale  Strain rate  Compressible hyper-viscoelasticity  Constitutive model  
Predicting the components and types of kerogen in shale by combining machine learning with NMR spectra 期刊论文
FUEL, 2021, 卷号: 290, 页码: 10
Authors:  Kang DL(康东亮);  Wang XH(王晓荷);  Zheng XJ(郑晓娇);  Zhao YP(赵亚溥)
Adobe PDF(5174Kb)  |  Favorite  |  View/Download：394/142  |  Submit date：2021/03/30
Machine learning  Kerogen and shale  Molecular structure  High-throughput prediction  NMR spectra datasets