We have developed and implemented a robust and practical scheme for anisotropic 3D
acoustic full-waveform inversion (FWI). We demonstrate this scheme on a field data set …

I demonstrate that the conventional seismic full-waveform inversion algorithm can be
constructed as a recurrent neural network and so implemented using deep learning software …

The gradient of standard full-waveform inversion (FWI) attempts to map the residuals in the
data to perturbations in the model. Such perturbations may include smooth background …

We present a general concept for evolutionary, collaborative, multiscale inversion of
geophysical data, specifically applied to the construction of a first‐generation Collaborative …

We have developed an efficient elastic full-waveform inversion (FWI) based on the P-wave
excitation amplitude (maximum energy arrival) approximation in the source wavefields …

Several 3D seismic acoustic full-waveform inversions (FWIs) of offshore data sets have been
reported over the last five years. A successful updating of the long-to-intermediate …

This study derives a preconditioned stochastic conjugate gradient (CG) method that
combines stochastic optimization with singular spectrum analysis (SSA) denoising to …

We apply a method to automatically estimate the background velocities using reverse-time
migration. The method uses a combination of differential semblance and similarity-index …

We develop a workflow based on full-waveform inversion (FWI) to estimate P-wave
velocities in a deepwater Brazilian pre-salt field using the recently introduced circular shot …

Full‐waveform inversion is a wave equation–based imaging technique for obtaining
subsurface model parameters by matching modelled with field data. Full‐waveform …