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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 作者: Kang DL(康东亮); Ma J(马骏); Zhao YP(赵亚溥) Adobe PDF(13704Kb)  |  收藏  |  浏览/下载:168/37  |  提交时间:2023/02/03 |
| Fluctuation of fracturing curves indicates in-situ brittleness and reservoir fracturing characteristics in unconventional energy exploitation 期刊论文 ENERGY, 2022, 卷号: 252, 页码: 8 作者: Sun FQ(孙富强); Du SH(杜书恒); Zhao YP(赵亚溥) Adobe PDF(1206Kb)  |  收藏  |  浏览/下载:181/52  |  提交时间:2022/07/18 Brittleness index Data -driven optimization Fracturing curve Micro-seismic data Unconventional reservoir Ashby plots |
| 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 作者: Kang DL(康东亮); Zhao YP(赵亚溥) Adobe PDF(3734Kb)  |  收藏  |  浏览/下载:213/59  |  提交时间:2022/08/10 |
| Defining kerogen maturity from orbital hybridization by machine learning 期刊论文 FUEL, 2022, 卷号: 310, 页码: 10 作者: Ma J(马俊); Kang DL(康东亮); Wang XH(王晓荷); Zhao YP(赵亚溥) Adobe PDF(4071Kb)  |  收藏  |  浏览/下载:287/62  |  提交时间: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 作者: Wang XH(王晓荷); Huang XF(黄先富); Gao MN(高梦霓); Zhao YP(赵亚溥) Adobe PDF(5656Kb)  |  收藏  |  浏览/下载:253/62  |  提交时间:2021/08/16 Kerogen aggregate in shale Strain rate Compressible hyper-viscoelasticity Constitutive model |
| Entropy and enthalpy changes during adsorption and displacement of shale gas 期刊论文 ENERGY, 2021, 卷号: 221, 页码: 7 作者: Lin K(林岿); Zhao YP(赵亚溥) Adobe PDF(864Kb)  |  收藏  |  浏览/下载:241/94  |  提交时间:2021/05/06 Shale gas Adsorption/displacement Entropy change Enthalpy change Statistical mechanics |
| 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 作者: Kang DL(康东亮); Wang XH(王晓荷); Zheng XJ(郑晓娇); Zhao YP(赵亚溥) Adobe PDF(5174Kb)  |  收藏  |  浏览/下载:385/138  |  提交时间:2021/03/30 Machine learning Kerogen and shale Molecular structure High-throughput prediction NMR spectra datasets |
| Potential laws on the changes of shale in acid erosion process based on the fast matching method of dimensional analysis 期刊论文 INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2021, 卷号: 46, 期号: 11, 页码: 7836-7847 作者: Du SH(杜书恒) Adobe PDF(3655Kb)  |  收藏  |  浏览/下载:184/46  |  提交时间:2021/03/30 Shale Pore size Elastic modulus Scaling law Acid erosion Fast matching method of dimensional analysis |