| A comprehensive review of in-situ polymer gel simulation for conformance control B Bai, J Leng, M Wei Petroleum Science 19 (1), 189-202, 2022 | 69 | 2022 |
| Review of transport mechanisms and numerical simulation studies of preformed particle gel for conformance control J Leng, M Wei, B Bai Geoenergy Science and Engineering (formerly Journal of Petroleum Science and …, 2021 | 46 | 2021 |
| Experimental study of microgel conformance-control treatment for a polymer-flooding reservoir containing superpermeable channels Y Zhao, J Leng, B Lin, M Wei, B Bai SPE Journal 26 (04), 2305-2317, 2021 | 31 | 2021 |
| A comprehensive review of efficient capacity estimation for large-scale CO2 geological storage J Leng, A Bump, AS Hosseini, AT Meckel, Z Wang, H Wang Gas Science and Engineering 126 (2949-9089), https://doi.org/10.1016/j.jgsce …, 2024 | 18 | 2024 |
| Impact of polymer rheology on gel treatment performance of horizontal wells with severe channeling J Leng, M Wei, B Bai SPE Journal 27 (02), 1017-1035, 2022 | 10 | 2022 |
| Modeling the evolution of pore pressure from deep wastewater injection in the Midland Basin, Texas J Ge, JP Nicot, KM Smye, AZ Calle, P Hennings, EA Horne, J Leng AAPG Bulletin 108 (12), 2287-2312, 2024 | 8 | 2024 |
| A deep learning-based workflow for fast prediction of 3D state variables in geological carbon storage: A dimension reduction approach H WANG, S Hosseini, A Tartakovsky, J Leng, M Fan Journal of Hydrology 636, https://doi.org/10.1016/j.jhydrol.2024.1, 2024 | 8 | 2024 |
| Propagation of swellable microgels through superpermeable channels: impact of particle–pore matching size relationship Y Zhao, M Wei, J Leng, B Bai Energy & Fuels 35 (22), 18533-18542, 2021 | 6 | 2021 |
| Impact of rheology models on horizontal well polymer flooding in a heavy oil reservoir on Alaska North Slope: a simulation study J Leng, M Wei, B Bai, RS Seright, Y Zhang, D Cercone, S Ning Offshore Technology Conference, D011S002R004, 2021 | 5 | 2021 |
| A Physics-Based Method for Forecasting Interwell Connectivity Using Injection Data J Leng, N Jean-Philippe, MK Smye, HP Hennings The International Meeting for Applied Geoscience & Energy, https://doi.org …, 2023 | 3 | 2023 |
| A Comparative Study of Deep Learning Models for Fracture and Pore Space Segmentation in Synthetic Fractured Digital Rocks H Wang, R Guo, J Leng, SA Hosseini, M Fan SPE Annual Technical Conference and Exhibition, D021S028R006, 2023 | 2 | 2023 |
| A Novel Numerical Model of Gelant Inaccessible Pore Volume for In Situ Gel Treatment J Leng, X Sun, M Wei, B Bai Gels 8 (6), 375, 2022 | 2 | 2022 |
| A data analytics and machine learning study on site screening of CO2 geological storage in depleted oil and gas reservoirs in the Gulf of Mexico J Leng, H Wang, AS Hosseini SPE Annual Technical Conference and Exhibition (ATCE), https://doi.org/10 …, 2023 | 1 | 2023 |
| Numerical simulation study of gel treatment for conformance control from lab to field J Leng Missouri University of Science and Technology, 2022 | 1 | 2022 |
| Estimation of Formation Permeability Anisotropy in Delaware Mountain Group Using Injection Data in Water Disposal Project J Leng, JP Nicot, J Ge, H Wang, MK Smye American Geophysical Union (AGU2024) 852 (H43A-0852), Online link, 2024 | | 2024 |
| Pattern Recognition for Wettability Alteration with Surfactants in Carbonate Reservoirs by Using Machine Learning Y Yao, M Wei, M Ali, Y Qiu, Y Cui, J Leng SPE Improved Oil Recovery Conference 2024, 2024 | | 2024 |
| Prediction of Surfactant Performance from Surfactant Huff-Puff in Carbonate Reservoirs Using a Data-Driven Approach and Desktop Application Development Y Yao, M Wei, Y Cui, M Ali, J Leng, Y Qiu SPE Western Regional Meeting, 2024 | | 2024 |
| Leakage assessment of hydrogen through abandoned wells in depleted gas reservoir for underground hydrogen storage R Guo, W Hongsheng, J Leng, SA Hosseini AGU24, 2024 | | 2024 |
| Investigation of Inter-well Connectivity of the Ellenburger Formation in Central Midland Basin using a Rapid CRM Method J Leng, JP Nicot, J Ge, P Hennings, MK Smye American Geophysical Union (AGU2023), Oral Presentation, 2023 | | 2023 |
| A Deep Learning-Based Workflow for Fast Prediction of 3D State Variables in Geological Carbon Storage: A Dimension Reduction Approach W Hongsheng, SA Hosseini, AM Tartakovsky, J Leng, M Fan AGU23, 2023 | | 2023 |
Mingzhen Weimissouri University of Science and Technology確認したメール アドレス: mst.edu