Stochastic seismic waveform inversion using generative adversarial networks as a geological prior
We present an application of deep generative models in the context of partial differential
equation constrained inverse problems. We combine a generative adversarial network …
equation constrained inverse problems. We combine a generative adversarial network …
[HTML][HTML] Devito (v3. 1.0): an embedded domain-specific language for finite differences and geophysical exploration
We introduce Devito, a new domain-specific language for implementing high-performance
finite-difference partial differential equation solvers. The motivating application is exploration …
finite-difference partial differential equation solvers. The motivating application is exploration …
A large-scale framework for symbolic implementations of seismic inversion algorithms in Julia
Writing software packages for seismic inversion is a very challenging task because
problems such as full-waveform inversion or least-squares imaging are algorithmically and …
problems such as full-waveform inversion or least-squares imaging are algorithmically and …
Near-surface 2D imaging via FWI of DAS data: An examination on the impacts of FWI starting model
Full waveform inversion (FWI) and distributed acoustic sensing (DAS) are powerful tools with
potential to improve how seismic site characterization is performed. FWI is able to provide …
potential to improve how seismic site characterization is performed. FWI is able to provide …
An event-driven approach to serverless seismic imaging in the cloud
Adapting the cloud for high-performance computing (HPC) is a challenging task, as software
for HPC applications hinges on fast network connections and is sensitive to hardware …
for HPC applications hinges on fast network connections and is sensitive to hardware …
Compressive least-squares migration with on-the-fly Fourier transforms
Least-squares reverse time migration is a powerful approach for true-amplitude seismic
imaging of complex geologic structures, but the successful application of this method is …
imaging of complex geologic structures, but the successful application of this method is …
Projection methods and applications for seismic nonlinear inverse problems with multiple constraints
Nonlinear inverse problems are often hampered by local minima because of missing low
frequencies and far offsets in the data, lack of access to good starting models, noise, and …
frequencies and far offsets in the data, lack of access to good starting models, noise, and …
Synthetic data generation for deep learning-based inversion for velocity model building
Recent years have seen deep learning (DL) architectures being leveraged for learning the
nonlinear relationships across the parameters in seismic inversion problems in order to …
nonlinear relationships across the parameters in seismic inversion problems in order to …
Full waveform inversion-based ultrasound computed tomography acceleration using two-dimensional convolutional neural networks
Ultrasound computed tomography (USCT) shows great promise in nondestructive
evaluation and medical imaging due to its ability to quickly scan and collect data from a …
evaluation and medical imaging due to its ability to quickly scan and collect data from a …
A note on extended full waveform inversion
T van Leeuwen - arxiv preprint arxiv:1904.00363, 2019 - arxiv.org
Full waveform inversion (FWI) aims at estimating subsurface medium properties from
measured seismic data. It is usually cast as a non-linear least-squares problem that …
measured seismic data. It is usually cast as a non-linear least-squares problem that …