机译:Conditioning generative adversarial networks on nonlinear data for subsurface flow model calibration and uncertainty quantification
Univ Southern Calif, 925 Bloom Walk,HED 313, Los Angeles, CA 90402 USA;
Model calibration; Subsurface flow; Generative adversarial networks; Data conditioning; Machine learning; Deep learning; Geologic uncertainty;