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DIRECT 2021 11 Machine Learning History Matching

DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is Machine Learning-based Historical Flow Matching with Generative Adversarial Network-assisted Ensemble Kalman Filtering by Honggeun Jo. Join the consortium for access to all graduate student research, papers, codes and demonstration workflows.