Louis Durlofsky
Stanford University
H-index: 81
North America-United States
Top articles of Louis Durlofsky
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
History matching for geological carbon storage using data-space inversion with spatio-temporal data parameterization | International Journal of Greenhouse Gas Control | Su Jiang Louis J Durlofsky | 2024/5/1 |
Surrogate model for geological CO2 storage and its use in hierarchical MCMC history matching | Advances in Water Resources | Yifu Han François P Hamon Su Jiang Louis J Durlofsky | 2024/5/1 |
Multi-asset closed-loop reservoir management using deep reinforcement learning | Computational Geosciences | Yusuf Nasir Louis J Durlofsky | 2024 |
Neural network surrogate for flow prediction and robust optimization in fractured reservoir systems | Fuel | Yong Do Kim Louis J Durlofsky | 2023/11/1 |
Use of Multifidelity Training Data and Transfer Learning for Efficient Construction of Subsurface Flow Surrogate Models | Journal of Computational Physics | Su Jiang Louis J Durlofsky | 2023/2/1 |
An integrated framework for optimal monitoring and history matching in CO storage projects | Computational Geosciences | Dylan M Crain Sally M Benson Sarah D Saltzer Louis J Durlofsky | 2023/7/23 |
Convolutional–recurrent neural network proxy for robust optimization and closed-loop reservoir management | Computational Geosciences | Yong Do Kim Louis J Durlofsky | 2023 |
Practical closed-loop reservoir management using deep reinforcement learning | SPE Journal | Yusuf Nasir Louis J Durlofsky | 2023/6/14 |
Deep reinforcement learning for optimal well control in subsurface systems with uncertain geology | Journal of Computational Physics | Yusuf Nasir Louis J Durlofsky | 2023/3/15 |
Integrated Framework for Constrained Optimization of Horizontal/Deviated Well Placement and Control for Geological CO2 Storage | SPE Journal | Amy Zou Louis J Durlofsky | 2023 |
Graph Network Surrogate Model for Subsurface Flow Optimization | arXiv preprint arXiv:2312.08625 | Haoyu Tang Louis J Durlofsky | 2023/12/14 |
Deep-neural-network surrogate flow models for history matching and uncertainty quantification | Su Jiang Louis J. Durlofsky | 2023 | |
Multigroup strategy for well control optimization | Journal of Petroleum Science and Engineering | Zhiwei Ma Oleg Volkov Louis J Durlofsky | 2022/7/1 |
Deep-learning-based coupled flow-geomechanics surrogate model for CO2 sequestration | International Journal of Greenhouse Gas Control | Meng Tang Xin Ju Louis J Durlofsky | 2022/7/1 |
Optimization of Subsurface Flow Operations Using a Dynamic Proxy Strategy | Mathematical Geosciences | Zhiwei Ma Yong Do Kim Oleg Volkov Louis J Durlofsky | 2022/11 |
A new flow-kinematics-based model for time-dependent effective dispersion in mixing-limited reactions | Water Resources Research | Ricardo H Deucher Louis J Durlofsky | 2022/9 |
Closed-loop reservoir management using a convolutional–recurrent neural network proxy for robust production optimization | YD Kim L Durlofsky | 2022/9/5 | |
Use of low-fidelity models with machine-learning error correction for well placement optimization | Computational Geosciences | Haoyu Tang Louis J Durlofsky | 2022 |
Effective treatment of geometric constraints in derivative-free well placement optimization | Journal of Petroleum Science and Engineering | Amy Zou Tianrui Ye Oleg Volkov Louis J Durlofsky | 2022/8/1 |
A two-stage optimization strategy for large-scale oil field development | Optimization and Engineering | Yusuf Nasir Oleg Volkov Louis J Durlofsky | 2021 |
Co-Authors
