Seismic full-waveform inversion (FWI) for imaging Earth's interior was introduced in the late
1970s. Its ultimate goal is to use all of the information in a seismogram to understand the …

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

We propose a new method to tackle the mapping challenge from time-series data to spatial
image in the field of seismic exploration, ie, reconstructing the velocity model directly from …

Conventional full-waveform seismic inversion attempts to find a model of the subsurface that
is able to predict observed seismic waveforms exactly; it proceeds by minimizing the …

Full waveform inversion (FWI) is a high-resolution seismic imaging technique that is based
on using the entire content of seismic traces for extracting physical parameters of the …

Full-waveform inversion (FWI) is an iterative nonlinear waveform matching procedure
subject to wave-equation constraint. FWI is highly nonlinear when the wave-equation …

The availability of low-frequency data is an important factor in the success of full-waveform
inversion (FWI) in the acoustic regime. The low frequencies help determine the kinematically …

Full-waveform inversion (FWI) is an accurate imaging approach for modeling the velocity
structure by minimizing the misfit between recorded and predicted seismic waveforms …

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 …

Imaging Earth structure or seismic sources from seismic data involves minimizing a target
misfit function, and is commonly solved through gradient-based optimization. The adjoint …