Chinese | English

Search in the results

IMECH-IR
(Note: the search results are based on claimed items)

Browse/Search Results:  1-4 of 4 Help

Filters                        
Selected(0)Clear Items/Page:    Sort:
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：178/39  |  Submit date：2023/02/03
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：223/63  |  Submit date：2022/08/10
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  
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：395/142  |  Submit date：2021/03/30
Machine learning  Kerogen and shale  Molecular structure  High-throughput prediction  NMR spectra datasets