| A deep-learning-based surrogate model for data assimilation in dynamic subsurface flow problems M Tang, Y Liu, LJ Durlofsky Journal of Computational Physics 413, 109456, 2020 | 251 | 2020 |
| A deep-learning-based geological parameterization for history matching complex models Y Liu, W Sun, LJ Durlofsky Mathematical Geosciences 51, 725-766, 2019 | 116 | 2019 |
| 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 |
| Deep-learning-based surrogate flow modeling and geological parameterization for data assimilation in 3D subsurface flow M Tang, Y Liu, LJ Durlofsky Computer Methods in Applied Mechanics and Engineering 376, 113636, 2021 | 96 | 2021 |
| 3D CNN-PCA: A deep-learning-based parameterization for complex geomodels Y Liu, LJ Durlofsky Computers & Geosciences 148, 104676, 2021 | 55 | 2021 |
| Multilevel strategies and geological parameterizations for history matching complex reservoir models Y Liu, LJ Durlofsky SPE Journal 25 (01), 081-104, 2020 | 28 | 2020 |
| Deep-learning-based reduced-order modeling for subsurface flow simulation ZL Jin, Y Liu, LJ Durlofsky arXiv preprint arXiv:1906.03729, 2019 | 20 | 2019 |
| Deep learning for automated characterization of pore-scale wettability W Yun, Y Liu, AR Kovscek Advances in Water Resources 144, 103708, 2020 | 14 | 2020 |
| Multilevel strategy for O-PCA-based history matching using mesh adaptive direct search Y Liu Stanford University, 2017 | 6 | 2017 |
| Modified Athy-Law Compaction to Account for Porosity Generation and Preservation from Kerogen Conversion in Terzaghi-Like Models of Petroleum Source Rocks M Cremon, AK Burnham, Y Liu, A Lapene AAPG Annual Convention and Exhibition, 1, 2017 | 4 | 2017 |
| A deep-learning-based geological parameterization for history matching complex models Y Liu, W Sun, LJ Durlofsky arXiv preprint arXiv:1807.02716, 2018 | | 2018 |
| Reparameterization of Complex Geological Models Using Neural Style Transfer Y Liu, W Sun, Y Wen | | |
Louis DurlofskyProfessor of Energy Science and Engineering, Stanford University在 stanford.edu 的电子邮件经过验证
