| Practical implementation of knowledge-based approaches for steam-assisted gravity drainage production analysis Z Ma, JY Leung, S Zanon, P Dzurman Expert Systems with Applications 42 (21), 7326-7343, 2015 | 58 | 2015 |
| Integration of artificial intelligence and production data analysis for shale heterogeneity characterization in steam-assisted gravity-drainage reservoirs Z Ma, JY Leung, S Zanon Journal of Petroleum Science and Engineering 163, 139-155, 2018 | 51 | 2018 |
| Capacity assessment and cost analysis of geologic storage of hydrogen: A case study in Intermountain-West Region USA F Chen, Z Ma, H Nasrabadi, B Chen, MZS Mehana, J Van Wijk International Journal of Hydrogen Energy 48 (24), 9008-9022, 2023 | 48 | 2023 |
| Design of warm solvent injection processes for heterogeneous heavy oil reservoirs: A hybrid workflow of multi-objective optimization and proxy models Z Ma, JY Leung Journal of Petroleum Science and Engineering 191, 107186, 2020 | 45 | 2020 |
| Practical data mining and artificial neural network modeling for steam-assisted gravity drainage production analysis Z Ma, JY Leung, S Zanon Journal of Energy Resources Technology 139 (3), 032909, 2017 | 37 | 2017 |
| A knowledge-based heterogeneity characterization framework for 3D steam-assisted gravity drainage reservoirs Z Ma, JY Leung Knowledge-Based Systems 192, 105327, 2020 | 32 | 2020 |
| Integration of deep learning and data analytics for SAGD temperature and production analysis Z Ma, JY Leung SPE Reservoir Simulation Conference?, D020S002R006, 2019 | 31 | 2019 |
| Integration of data-driven modeling techniques for lean zone and shale barrier characterization in SAGD reservoirs Z Ma, JY Leung Journal of Petroleum Science and Engineering 176, 716-734, 2019 | 26 | 2019 |
| Correlating stochastically distributed reservoir heterogeneities with steam-assisted gravity drainage production C Wang, Z Ma, JY Leung, SD Zanon Oil & Gas Sciences and Technology–Revue d’IFP Energies nouvelles 73, 9, 2018 | 24 | 2018 |
| Practical application of Pareto-based multi-objective optimization and proxy modeling for steam alternating solvent process design L Coimbra, Z Ma, JY Leung SPE Western Regional Meeting, D032S002R001, 2019 | 19 | 2019 |
| Integration of data-driven models for characterizing shale barrier configuration in 3D heterogeneous reservoirs for SAGD operations Z Ma, JY Leung SPE Canada Heavy Oil Conference, D022S003R001, 2018 | 14 | 2018 |
| Integration of artificial intelligence and production data analysis for shale heterogeneity characterization in SAGD reservoirs Z Ma, JY Leung, S Zanon SPE Canada Heavy Oil Conference, D011S004R003, 2016 | 14 | 2016 |
| Incorporating phase behavior constraints in the multi-objective optimization of a warm vaporized solvent injection process S Hunyinbo, Z Ma, JY Leung Journal of Petroleum Science and Engineering 205, 108949, 2021 | 12 | 2021 |
| A review of risk and uncertainty assessment for geologic carbon storage T Xiao, T Chen, Z Ma, H Tian, S Meguerdijian, B Chen, R Pawar, L Huang, ... Renewable and Sustainable Energy Reviews 189, 113945, 2024 | 11 | 2024 |
| Practical data mining and artificial neural network modeling for SAGD production analysis Z Ma, Y Liu, JY Leung, S Zanon SPE Canada Heavy Oil Conference, SPE-174460-MS, 2015 | 11 | 2015 |
| Multigroup strategy for well control optimization Z Ma, O Volkov, LJ Durlofsky Journal of Petroleum Science and Engineering 214, 110448, 2022 | 10 | 2022 |
| Phase-based design of CO2 capture, transport, and storage infrastructure via SimCCS3.0 Z Ma, B Chen, RJ Pawar Scientific Reports 13 (1), 6527, 2023 | 9 | 2023 |
| Technical and Economic Feasibility Analysis of Underground Hydrogen Storage: A Case Study in Intermountain-West Region USA F Chen, Z Ma, H Nasrabadi, B Chen, M Mehana, JW Van Wijk arXiv preprint arXiv:2209.03239, 2022 | 9 | 2022 |
| Influences of dead‐end pores in porous media on viscous fingering instabilities and cleanup of NAPLs in miscible displacements Q Yuan, Z Ma, J Wang, X Zhou Water Resources Research 57 (11), e2021WR030594, 2021 | 8 | 2021 |
| Efficient prediction of hydrogen storage performance in depleted gas reservoirs using machine learning S Mao, B Chen, M Malki, F Chen, M Morales, Z Ma, M Mehana Applied Energy 361, 122914, 2024 | 7 | 2024 |
Juliana Y. LeungProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证
Juliana Y. LeungProfessor, University of Alberta在 ualberta.ca 的电子邮件经过验证
Louis DurlofskyProfessor of Energy Science and Engineering, Stanford University在 stanford.edu 的电子邮件经过验证