| CO 2 enhanced oil recovery and storage using a gravity-enhanced process L Li, S Khorsandi, RT Johns, RM Dilmore International Journal of Greenhouse Gas Control 42, 502-515, 2015 | 72* | 2015 |
| Equation of State for Relative Permeability, Including Hysteresis and Wettability Alteration S Khorsandi, L Li, R T. Johns SPE Journal, 2017 | 57 | 2017 |
| A machine learning framework for rapid forecasting and history matching in unconventional reservoirs S Srinivasan, D O’Malley, MK Mudunuru, MR Sweeney, JD Hyman, ... Scientific Reports 11 (1), 21730, 2021 | 40 | 2021 |
| Physics-informed Machine Learning for Real-time Unconventional Res-ervoir Management MK Mudunuru, D O’Malley, S Srinivasan, JD Hyman, MR Sweeney, ... AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine …, 2020 | 24 | 2020 |
| Multiple-mixing-cell method for three-hydrocarbon-phase displacements L Li, S Khorsandi, RT Johns, K Ahmadi SPE Journal 20 (06), 1339-1349, 2015 | 24 | 2015 |
| A New Way of Compositional Simulation Without Phase Labeling S Khorsandi, L Li, R Johns SPE Improved Oil Recovery Conference, 2018 | 16 | 2018 |
| Importance of preexisting fractures to completion and production efficiencies in the Marcellus Shale energy and environmental lab MSEEL T Carr, E Fathi, R Bohn, MF Adenan, L Li, B Panetta, BJ Carney, ... SPE Hydraulic Fracturing Technology Conference and Exhibition, D011S001R003, 2022 | 14 | 2022 |
| A physics-informed machine learning workflow to forecast production in a fractured Marcellus shale reservoir MR Gross, JD Hyman, S Srinivasan, D O’Malley, S Karra, MK Mudunuru, ... Unconventional Resources Technology Conference, 26–28 July 2021, 3641-3648, 2021 | 12 | 2021 |
| Coupled Capillary Pressure and Relative Permeability Using an Equation-of-State Approach L Li, R Johns SPE Improved Oil Recovery Conference, 2018 | 8 | 2018 |
| Computer system and method for predicting petrophysical properties in a fluid having one or more phases in porous media RT Johns, S Khorsandi, L Li US Patent App. 16/971,558, 2021 | 5 | 2021 |
| Physics-Informed Machine Learning for Real-time Reservoir Management. MK Mudunuru, D O'Malley, S Srinivasan, JD Hyman, MR Sweeney, ... AAAI Spring Symposium: MLPS, 2020 | 5 | 2020 |
| An Equation-of-State Approach to Model Relative Permeability Including Hysteresis and Wettability Alteration S Khorsandi, L Li, RT Johns SPE Reservoir Simulation Conference, 2017 | 5 | 2017 |
| Mechanistic Prediction of Oil-Water, Two-Phase Flow in Horizontal or Near-Horizontal Pipes for a Wide Range of Oil Viscosities L Li, F Popa, B Houchens SPE Annual Technical Conference and Exhibition, 28-30 September, Houston …, 2015 | 5 | 2015 |
| Three-Phase Mixing Cell Method for Gas Flooding L Li | 5 | 2012 |
| Completion Design Improvement Using a Deep Convolutional Network L Li, N Nasrabadi, T Carr SPE Annual Technical Conference and Exhibition?, D021S014R008, 2020 | 4 | 2020 |
| A machine-learning inverse model framework for rapid forecasting and history matching in unconventional reservoirs S Srinivasan, D O'Malley, MK Mudunuru, M Sweeney, JD Hyman, L Frash, ... Scientific Reports, 2021 | 3 | 2021 |
| Data integration for engineered completion design in the Marcellus shale L Li, P Kavousi, B Li, BJ Carney, TR Can AAPG Annual Convention and Exhibition, 7-10, 2020 | 3 | 2020 |
| Effect of Hysteresis and Heterogeneity on Gas Flooding Performance L Li The Pennsylvania State University, 2017 | 1 | 2017 |
| Data Integration for Engineered Completion Design in the Marcellus Shale L L., K P., L B., C B., C T.R. AAPG Annual Convention & Exhibition, 2020 | | 2020 |
| Compositional Effects on Relative Permeability and Hysteresis for Enhanced Oil Recovery L Li, S Khorsandi, R Johns 2016 AGU Fall Meeting Abstracts, 2016 | | 2016 |
Russell JohnsThe Pennsylvania State UniversityBestätigte E-Mail-Adresse bei psu.edu