| A deep-learning-based geological parameterization for history matching complex models Y Liu, W Sun, LJ Durlofsky Mathematical Geosciences 51, 725-766, 2019 | 123 | 2019 |
| A new data-space inversion procedure for efficient uncertainty quantification in subsurface flow problems W Sun, LJ Durlofsky Mathematical Geosciences (doi:10.1007/s11004-016-9672-8), 2017 | 91 | 2017 |
| Data-space approaches for uncertainty quantification of CO2 plume location in geological carbon storage W Sun, LJ Durlofsky Advances in water resources 123, 234-255, 2019 | 53 | 2019 |
| Production forecasting and uncertainty quantification for naturally fractured reservoirs using a new data-space inversion procedure W Sun, MH Hui, LJ Durlofsky Computational Geosciences 21, 1443-1458, 2017 | 51 | 2017 |
| A data-space inversion procedure for well control optimization and closed-loop reservoir management S Jiang, W Sun, LJ Durlofsky Computational Geosciences 24, 361-379, 2020 | 35 | 2020 |
| A practical method to mitigate spurious uncertainty reduction in history matching workflows with imperfect reservoir models W Sun, JC Vink, G Gao SPE Reservoir Simulation Conference?, D021S005R004, 2017 | 22 | 2017 |
| A flow network model based on time of flight for reservoir management S Sankaran, W Sun Abu Dhabi International Petroleum Exhibition and Conference, D031S061R003, 2020 | 20 | 2020 |
| A hybrid modeling approach to production control optimization using dynamic mode decomposition H Zalavadia, S Sankaran, M Kara, W Sun, E Gildin SPE Annual Technical Conference and Exhibition?, D022S090R002, 2019 | 18 | 2019 |
| A deep-learning-based graph neural network-long-short-term memory model for reservoir simulation and optimization with varying well controls H Huang, B Gong, W Sun SPE Journal 28 (06), 2898-2916, 2023 | 12 | 2023 |
| Reservoir modeling, history matching, and characterization with a reservoir graph network model Z Guo, S Sankaran, W Sun SPE Reserv. Eval. Eng, 1-13, 2023 | 10 | 2023 |
| Data-Driven Discovery of Physics for Reservoir Surveillance M Nagao, W Sun, S Sankaran SPE Western Regional Meeting, D031S013R002, 2022 | 10 | 2022 |
| Efficient Reservoir Management with a Reservoir Graph Network Model Z Guo, W Sun, S Sankaran SPE Western Regional Meeting, D021S011R005, 2022 | 8 | 2022 |
| A graph network based approach for reservoir modeling W Sun, S Sankaran SPE Annual Technical Conference and Exhibition?, D021S040R009, 2021 | 7 | 2021 |
| Data Driven History Matching for Reservoir Production Forecasting W Sun Stanford University, 2014 | 7 | 2014 |
| Deep-learning based surrogate modeling for fast and accurate simulation in realistic 3D reservoir with varying well controls H Huang, B Gong, Y Liu, W Sun Geoenergy Science and Engineering 222, 211418, 2023 | 6 | 2023 |
| Application of an Improved Deep-Learning Framework for Large-Scale Subsurface Flow Problems with Varying Well Controls H Huang, B Gong, W Sun, F Qin, S Tang, H Li SPE Journal 29 (01), 574-591, 2024 | 5 | 2024 |
| Unlocking Unconventional Production Optimization Opportunities Using Reduced Physics Models for Well Performance Analysis–Case Study S Sankaran, D Molinari, H Zalavadia, T Stoddard, W Sun, G Singh, ... International Petroleum Technology Conference, D031S078R002, 2022 | 5 | 2022 |
| Rapid forecast calibration using nonlinear simulation regression with localization J He, W Sun, XH Wen SPE Reservoir Simulation Conference?, D010S017R003, 2019 | 5 | 2019 |
| CO2 storage in saline aquifers: A simulation on quantifying the impact of permeability heterogeneity Z Wang, S Liu, H Li, J Liu, W Sun, J Xu, X Wang Journal of Cleaner Production 471, 143415, 2024 | 3 | 2024 |
| Estimation of CO2 storage capacities in saline aquifers using material balance H Oh, H Yoon, S Park, Y Kim, B Choi, W Sun, H Jeong Fuel 374, 132411, 2024 | 2 | 2024 |
Louis DurlofskyProfessor of Energy Science and Engineering, Stanford UniversityVerified email at stanford.edu