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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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基于机器学习的干酪根分子重构及裂解化学-力学机制研究 学位论文
博士论文,北京: 中国科学院大学, 2022
Authors:  康 东亮
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力能学  组合爆炸  机器学习  干酪根分子重构  裂解化学-力学性质  
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)
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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)
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Kerogen maturity  Orbital hybridization  Machine learning  Quantum chemistry  
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)
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Machine learning  Kerogen and shale  Molecular structure  High-throughput prediction  NMR spectra datasets  
微反应器分形流道中物质利用效率优化研究 期刊论文
中国科学:技术科学, 2019, 卷号: 49, 期号: 10, 页码: 1159-1167
Authors:  康东亮;  沈文豪;  赵亚溥
Adobe PDF(1786Kb)  |  Favorite  |  View/Download:272/71  |  Submit date:2019/12/16
分形流道  输运与利用  优化  标度律