| Machine learning-based production forecast for shale gas in unconventional reservoirs via integration of geological and operational factors G Hui, S Chen, Y He, H Wang, F Gu Journal of Natural Gas Science and Engineering 94, 104045, 2021 | 56 | 2021 |
| Production forecast and optimization for parent-child well pattern in unconventional reservoirs H Wang, Z Chen, S Chen, G Hui, B Kong Journal of Petroleum Science and Engineering 203, 108899, 2021 | 23 | 2021 |
| Influence of hydrological communication between basement-rooted faults and hydraulic fractures on induced seismicity: A case study G Hui, S Chen, F Gu, H Wang, L Zhang, X Yu Journal of Petroleum Science and Engineering 206, 109040, 2021 | 16 | 2021 |
| Insights into the application of machine learning in reservoir engineering: current developments and future trends H Wang, S Chen Energies 16 (3), 1392, 2023 | 14 | 2023 |
| Predicting long-term production dynamics in tight/shale gas reservoirs with dual-stage attention-based TEN-Seq2Seq model: A case study in Duvernay formation H Wang, S Wang, S Chen, G Hui Geoenergy Science and Engineering 223, 211495, 2023 | 13 | 2023 |
| Predicting adsorption of methane and carbon dioxide mixture in shale using simplified local-density model: implications for enhanced gas recovery and carbon dioxide sequestration Y Pang, S Chen, H Wang Energies 15 (7), 2548, 2022 | 10 | 2022 |
| Integrated evaluations of high-quality shale play using core experiments and logging interpretations G Hui, Z Chen, J Yan, M Wang, H Wang, D Zhang, F Gu Fuel 341, 127679, 2023 | 4 | 2023 |
| A machine learning-based study of multifactor susceptibility and risk control of induced seismicity in unconventional reservoirs G Hui, ZX Chen, H Wang, ZJ Song, SH Wang, HL Zhang, DM Zhang, F Gu Petroleum Science 20 (4), 2232-2243, 2023 | 3 | 2023 |
| A novel governing equation for shale gas production prediction via physics-informed neural networks H Wang, M Wang, S Chen, G Hui, Y Pang Expert Systems with Applications 248, 123387, 2024 | 2 | 2024 |
| Robust prediction for CH4/CO2 competitive adsorption by genetic algorithm pruned neural network H Wang, Y Pang, S Chen, M Wang, G Hui Geoenergy Science and Engineering 234, 212618, 2024 | 1 | 2024 |
| An Integrated Geology-Engineering Approach to Duvernay Shale Gas Development: From Geological Modeling to Reservoir Simulation G Hui, Z Chen, H Wang, M Wang, F Gu SPE Canadian Energy Technology Conference, D011S010R005, 2023 | 1 | 2023 |
| Pore-Scale Investigation of Caprock Integrity in Underground Hydrogen Storage H Wang, S Chen, P Deng, M Wang, Z Xu SPE Canadian Energy Technology Conference, D021S026R005, 2024 | | 2024 |
| Tight Gas Production Prediction in the Southern Montney Play Using Machine Learning Approaches G Hui, F Yao, Z Pi, P Bao, W Wang, M Wang, H Wang, F Gu SPE Canadian Energy Technology Conference, D011S009R001, 2024 | | 2024 |
| Physics-Informed Neural Network for CH4/CO2 Adsorption Characterization H Wang, S Chen, M Wang, Z Wu, G Hui SPE Canadian Energy Technology Conference, D011S004R004, 2024 | | 2024 |
Gang HuiUniversity of Calgary在 ucalgary.ca 的电子邮件经过验证
Gang HuiUniversity of Calgary在 ucalgary.ca 的电子邮件经过验证
Shengnan Nancy ChenProfessor of Petroleum Engineering, University of Calgary在 ucalgary.ca 的电子邮件经过验证