13 citations · 18 across the 3 of their papers we have counts for
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stat.ML2020★ 4 cited
Data-Space Inversion Using a Recurrent Autoencoder for Time-Series Parameterization
Su Jiang, Louis J. Durlofsky
Data-space inversion (DSI) and related procedures represent a family of methods applicable for data assimilation in subsurface flow settings. These methods differ from model-based…
stat.ML2018
A Deep-Learning-Based Geological Parameterization for History Matching Complex Models
Yimin Liu, Wenyue Sun, Louis J. Durlofsky
A new low-dimensional parameterization based on principal component analysis (PCA) and convolutional neural networks (CNN) is developed to represent complex geological models. The…