| Harnessing the power of machine learning for carbon capture, utilisation, and storage (CCUS)–a state-of-the-art review Y Yan, TN Borhani, SG Subraveti, KN Pai, V Prasad, A Rajendran, ... Energy & Environmental Science 14 (12), 6122-6157, 2021 | 126 | 2021 |
| Development and application of a machine learning based multi-objective optimization workflow for CO2-EOR projects J You, W Ampomah, Q Sun Fuel 264, 116758, 2020 | 92 | 2020 |
| Machine learning based co-optimization of carbon dioxide sequestration and oil recovery in CO2-EOR project J You, W Ampomah, Q Sun, EJ Kutsienyo, RS Balch, Z Dai, M Cather, ... Journal of Cleaner Production 260, 120866, 2020 | 82 | 2020 |
| Characterizing pore-level oil mobilization processes in unconventional reservoirs assisted by state-of-the-art nuclear magnetic resonance technique X Zhang, B Wei, J You, J Liu, D Wang, J Lu, J Tong Energy 236, 121549, 2021 | 52 | 2021 |
| Numerical modeling of unsteady-state wellbore heat transmission J You, H Rahnema, MD McMillan Journal of natural gas science and engineering 34, 1062-1076, 2016 | 41 | 2016 |
| Assessment of Enhanced Oil Recovery and CO2 Storage Capacity Using Machine Learning and Optimization Framework J You, W Ampomah, EJ Kutsienyo, Q Sun, RS Balch, WN Aggrey, ... SPE Europec featured at EAGE Conference and Exhibition?, D041S008R006, 2019 | 34 | 2019 |
| Co-optimizing water-alternating-carbon dioxide injection projects using a machine learning assisted computational framework J You, W Ampomah, Q Sun Applied Energy 279, 115695, 2020 | 28 | 2020 |
| Performance of a tight reservoir horizontal well induced by gas huff–n–puff integrating fracture geometry, rock stress-sensitivity and molecular diffusion: A case study using … L Wang, B Wei, J You, W Pu, J Tang, J Lu Energy 263, 125696, 2023 | 22 | 2023 |
| Hydrocarbon production dynamics forecasting using machine learning: A state-of-the-art review B Liang, J Liu, J You, J Jia, Y Pan, H Jeong Fuel 337, 127067, 2023 | 20 | 2023 |
| Multi-Objective Optimization of CO2 Enhanced Oil Recovery Projects Using a Hybrid Artificial Intelligence Approach J You, W Ampomah, Q Sun, EJ Kutsienyo, RS Balch, M Cather SPE Annual Technical Conference and Exhibition?, D031S043R004, 2019 | 18 | 2019 |
| A comprehensive techno-eco-assessment of CO2 enhanced oil recovery projects using a machine-learning assisted workflow J You, W Ampomah, A Morgan, Q Sun, X Huang International Journal of Greenhouse Gas Control 111, 103480, 2021 | 17 | 2021 |
| Evaluation of CO2-EOR Performance and Storage Mechanisms in an Active Partially Depleted Oil Reservoir EJ Kutsienyo, W Ampomah, Q Sun, RS Balch, J You, WN Aggrey, ... SPE Europec featured at EAGE Conference and Exhibition?, D041S008R009, 2019 | 14 | 2019 |
| Practical CO2—WAG Field Operational Designs Using Hybrid Numerical-Machine-Learning Approaches Q Sun, W Ampomah, J You, M Cather, R Balch Energies 14 (4), 1055, 2021 | 13 | 2021 |
| Techno-economic life cycle assessment of CO2-EOR operations towards net negative emissions at farnsworth field unit A Morgan, W Ampomah, R Grigg, Z Dai, J You, S Wang Fuel 342, 127897, 2023 | 12 | 2023 |
| Optimization of Water-Alternating-CO2 Injection Field Operations Using a Machine-Learning-Assisted Workflow J You, W Ampomah, J Tu, A Morgan, Q Sun, B Wei, D Wang SPE Reservoir Evaluation & Engineering 25 (02), 214-231, 2022 | 11 | 2022 |
| Numerical modeling of multiphase steam flow in wellbore J You, H Rahnema Journal of Petroleum Science and Engineering 164, 259-277, 2018 | 9 | 2018 |
| Dynamics of mass exchange within tight rock matrix/fracture systems induced by natural gas ‘dynamic’soaking and oil recovery prediction B Wei, J Liu, X Zhang, D Wang, J You, J Lu, J Tang Energy 254, 124331, 2022 | 7 | 2022 |
| Oil recovery dynamics of natural gas huff ‘n’puff in unconventional oil reservoirs considering the effects of nanopore confinement and its proportion: A mechanistic study B Wei, M Zhong, L Wang, J Tang, D Wang, J You, J Lu SPE Reservoir Evaluation & Engineering 25 (04), 667-683, 2022 | 5 | 2022 |
| Multi-Objective Optimization of Carbon Dioxide Enhanced Oil Recovery Projects Using Machine Learning Algorithms J You New Mexico Institute of Mining and Technology, 2020 | 4 | 2020 |
| Facile fabrication of nanoemulsions through the efficient catanionic surfactants for spontaneous imbibition in tight oil reservoirs: Experimental and numerical simulation B Wei, R Mao, H Tang, L Wang, D Wang, Y Wang, J You, J Lu SPE International Conference on Oilfield Chemistry?, D021S008R002, 2021 | 3 | 2021 |
William AmpomahPetroleum Eng. @ New Mexico Tech在 nmt.edu 的电子邮件经过验证
