83 citations · 261 across the 10 of their papers we have counts for
10 papers
3D Bayesian Variational Surface Wave Tomography and Application to the Southwest China
Wenda Yang, Xin Zhang
Seismic surface wave tomography uses surface wave information to obtain velocity structures in the subsurface. Due to data noise and nonlinearity of the problem, surface wave tomog…
VIP -- Variational Inversion Package with example implementations of Bayesian tomographic imaging
Xin Zhang, Andrew Curtis
Bayesian inference has become an important tool to solve inverse problems and to quantify uncertainties in their solutions. Variational inference is a method that provides probabil…
Bayesian Variational Time-lapse Full-waveform Inversion
Xin Zhang, Andrew Curtis
Time-lapse seismic full-waveform inversion (FWI) provides estimates of dynamic changes in the subsurface by performing multiple seismic surveys at different times. Since FWI proble…
3D Bayesian Variational Full Waveform Inversion
Xin Zhang, Angus Lomas, Muhong Zhou +2
Seismic full-waveform inversion (FWI) provides high resolution images of the subsurface by exploiting information in the recorded seismic waveforms. This is achieved by solving a h…
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…
Surface wave dispersion inversion using an energy likelihood function
Xin Zhang, York Zheng, Andrew Curtis
Seismic surface wave dispersion inversion is used widely to study the subsurface structure of the Earth. The dispersion property is usually measured by using frequency-phase veloci…
Interrogating probabilistic inversion results for subsurface structural information
Xin Zhang, Andrew Curtis
The goal of a scientific investigation is to find answers to specific questions. In geosciences this is typically achieved by solving an inference or inverse problem and interpreti…
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…