Full-waveform inversion (FWI) can be made immune to cycle skip** by matching the
recorded data with traveltime errors smaller than one-half period from inaccurate subsurface …

Extended-source full-waveform inversion (ES-FWI) first computes wavefields with data-
driven source extensions such that the simulated data in inaccurate velocity models match …

We describe a new method, full-waveform inversion by model extension (FWIME), that
recovers accurate acoustic subsurface velocity models from seismic data when conventional …

Full-waveform inversion (FWI) is an effective method for imaging subsurface properties
using sparsely recorded data. It involves solving a wave propagation problem to estimate …

Producing reliable acoustic subsurface velocity models still remains the main bottleneck of
the oil and gas industry's traditional imaging sequence. In complex geologic settings, the …

Full waveform inversion (FWI) methods evaluate subsurface media properties by minimizing
the misfit between synthetic and observed data. However, its derivation process omits …

The augmented Lagrangian (AL) method provides a flexible and efficient framework for
solving extended-space full-waveform inversion (FWI), a constrained nonlinear optimization …

Full-waveform inversion (FWI) is a nonlinear optimization problem that addresses the
estimation of subsurface model parameters by matching the predicted to the observed …

Elastic full-waveform inversion (EFWI) is a process used to estimate subsurface properties
by fitting seismic data while satisfying wave propagation physics. The problem is formulated …