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Yimin Lucas Liu
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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
2352020
A deep-learning-based geological parameterization for history matching complex models
Y Liu, W Sun, LJ Durlofsky
Mathematical Geosciences 51, 725-766, 2019
1132019
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
1012020
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
922021
3D CNN-PCA: A deep-learning-based parameterization for complex geomodels
Y Liu, LJ Durlofsky
Computers & Geosciences 148, 104676, 2021
522021
Multilevel strategies and geological parameterizations for history matching complex reservoir models
Y Liu, LJ Durlofsky
SPE Journal 25 (01), 081-104, 2020
272020
Deep-learning-based reduced-order modeling for subsurface flow simulation
ZL Jin, Y Liu, LJ Durlofsky
arXiv preprint arXiv:1906.03729, 2019
202019
Deep learning for automated characterization of pore-scale wettability
W Yun, Y Liu, AR Kovscek
Advances in Water Resources 144, 103708, 2020
142020
Multilevel strategy for O-PCA-based history matching using mesh adaptive direct search
Y Liu
Stanford University, 2017
62017
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
42017
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
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Articles 1–12