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20192023
most citedSeismic tomography using variational inference methods

83 citations · 309 across the 12 of their papers we have counts for

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Showing physics.geo-phShow all

11 papers · 1 filter

physics.geo-ph2023★ 1 cited

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…

physics.geo-ph2023★ 24 cited

Variational Bayesian experimental design for geophysical applications: seismic source location, amplitude versus offset inversion, and estimating CO2 saturations in a subsurface reservoir

Dominik Strutz, Andrew Curtis

This paper introduces variational design methods that are novel to Geophysics, and discusses their benefits and limitations in the context of geophysical applications and more esta…

physics.geo-ph2023

Travel times and ray paths for acoustic and elastic waves in generally anisotropic media

James Ludlam, Katherine Tant, Victorita Dolean +1

Wavefield travel time tomography is used for a variety of purposes in acoustics, geophysics and non-destructive testing. Since the problem is non-linear, assessing uncertainty in t…

physics.geo-ph2022★ 14 cited

Introducing Conceptual Geological Information into Bayesian Tomographic Imaging

Hugo Bloem, Andrew Curtis, Daniel Tetzlaff

Geological process models simulate a range of dynamic processes to evolve a base topography into a final 2D cross-section or 3D geological scenario. In principle, process parameter…

physics.geo-ph2022★ 78 cited

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…

physics.geo-ph2021★ 2 cited

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…

physics.geo-ph2021

Real-time super-resolution mapping of locally anisotropic grain orientations for ultrasonic non-destructive evaluation of crystalline material

Jonathan Singh, Katherine M. M. Tant, Andrew Curtis +1

Estimating the spatially varying microstructures of heterogeneous and locally anisotropic media non-destructively is necessary for the accurate detection of flaws and reliable moni…

physics.geo-ph2021★ 19 cited

Seismic interferometry from correlated noise sources

Daniella Ayala-Garcia, Andrew Curtis, Michal Branicki

It is a well-established principle that cross-correlating seismic observations at different receiver locations can yield estimates of band-limited inter-receiver Green's functions.…

physics.geo-ph2021★ 1 cited

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…

physics.geo-ph2019★ 83 cited

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…

physics.geo-ph2019★ 47 cited

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…