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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:213/51  |  Submit date:2023/02/03
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:433/156  |  Submit date:2021/03/30
Machine learning  Kerogen and shale  Molecular structure  High-throughput prediction  NMR spectra datasets