Deep-learning-based surrogate model for reservoir simulation with time-varying well controls ZL Jin, Y Liu, LJ Durlofsky Journal of Petroleum Science and Engineering 192, 107273, 2020 | 106 | 2020 |
Reduced-order modeling of CO2 storage operations ZL Jin, LJ Durlofsky International Journal of Greenhouse Gas Control 68, 49-67, 2018 | 46 | 2018 |
Fast uncertainty quantification of reservoir simulation with variational U-Net L Jin, H Lu, G Wen arXiv preprint arXiv:1907.00718, 2019 | 20 | 2019 |
Deep-learning-based reduced-order modeling for subsurface flow simulation ZL Jin, Y Liu, LJ Durlofsky arXiv preprint arXiv:1906.03729, 2019 | 20 | 2019 |
Developing and Validating Simplified Predictive Models for CO2 Geologic Sequestration LJD Srikanta Mishra, Priya Ravi Ganesh, Jared Schuetter, Jincong He ... SPE Annual Technical Conference and Exhibition, 2015 | 15 | 2015 |
Reduced-order modeling of coupled flow and quasistatic geomechanics ZL Jin, T Garipov, O Volkov, LJ Durlofsky SPE Journal 25 (01), 326-346, 2020 | 13 | 2020 |
Simplified Predictive Models for CO2 Sequestration Performance Assessment: Research Topical Report on Task# 4-Reduced-Order Method (ROM) Based Models S Mishra, L Jin, J He, L Durlofsky Battelle Memorial Institute, Columbus, OH (United States), 2015 | 5 | 2015 |
Reduced-order modeling of coupled flow-geomechanics problems ZL Jin, T Garipov, O Volkov, LJ Durlofsky SPE Reservoir Simulation Conference?, D021S015R003, 2019 | 3 | 2019 |
Application of Reduced-Order Modeling for Geological Carbon Sequestration LZ Jin Stanford University, 2015 | 3 | 2015 |
New Techniques for Reduced-Order Modeling in Reservoir Simulation ZL Jin Stanford University, 2019 | | 2019 |
Reduced-Order Models Based on POD-Tpwl for Compositional Subsurface Flow Simulation LZJ LJ Durlofsky, J He AGU Fall Meeting Abstracts 1, 05, 2014 | | 2014 |
Extended QANet and Application on SQuAD 2.0 L Jin, Y Liu, S Jiang | | |