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physics.comp-ph2019★ 6 cited
Learning to regularize with a variational autoencoder for hydrologic inverse analysis
Daniel O'Malley, John K. Golden, Velimir V. Vesselinov
Inverse problems often involve matching observational data using a physical model that takes a large number of parameters as input. These problems tend to be under-constrained and…
physics.comp-ph2019
Large-scale Inversion of Subsurface Flow Using Discrete Adjoint Method
Shu Wang, Satish Karra, Daniel O'Malley
Sensitivity analysis plays an important role in searching for constitutive parameters (e.g. permeability) subsurface flow simulations. The mathematics behind is to solve a dynamic…