31 citations · 32 across the 2 of their papers we have counts for
4 papers
An introduction to variational inference in Geophysical inverse problems
Xin Zhang, Muhammad Atif Nawaz, Xuebin Zhao +1
In a variety of scientific applications we wish to characterize a physical system using measurements or observations. This often requires us to solve an inverse problem, which usua…
Bayesian Full-waveform Inversion with Realistic Priors
Xin Zhang, Andrew Curtis
Seismic full-waveform inversion (FWI) uses full seismic records to estimate subsurface velocity structure. This requires a highly nonlinear and nonunique inverse problem to be solv…
Seismic tomography using variational inference methods
Xin Zhang, Andrew Curtis
Seismic tomography is a methodology to image the interior of solid or fluid media, and is often used to map properties in the subsurface of the Earth. In order to better interpret…
Probabilistic Neural Network Tomography across Grane field (North Sea) from Surface Wave Dispersion Data
Stephanie Earp, Andrew Curtis, Xin Zhang +1
Surface wave tomography uses measured dispersion properties of surface waves to infer the spatial distribution of subsurface properties such as shear-wave velocities. These propert…