Physics-embedded inverse analysis with algorithmic differentiation for the earth's subsurface.

ABSTRACT: Inverse analysis has been utilized to understand unknown underground geological properties by matching the observational data with simulators. To overcome the underconstrained nature of inverse problems and achieve good performance, an approach is presented with embedded physics and a technique known as algorithmic differentiation. We use a physics-embedded generative model, which takes statistically simple parameters as input and outputs subsurface properties (e.g., permeability or P-wave velocity), that embeds physical knowledge of the subsurface properties into inverse analysis and improves its performance. We tested the application of this approach on four geologic problems: two heterogeneous hydraulic conductivity fields, a hydraulic fracture network, and a seismic inversion for P-wav

SUBMITTER: Wu H 

PROVIDER: S-EPMC9839692 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature