Wavefield reconstruction inversion (WRI) formulates a PDE-constrained optimization
problem to reduce cycle skipping in full-waveform inversion (FWI). WRI is often implemented …

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 …

Because modeling for full-waveform inversion (FWI) cannot produce reflections unless the
velocity model has the scattering potential (high wavenumbers), using a …

Full-waveform inversion (FWI) is a highly nonlinear problem due to the complex reflectivity of
the earth, and this nonlinearity only increases under the more expensive elastic assumption …

Full waveform inversion (FWI) is a promising technique for inverting a high-resolution
subsurface velocity model. The success of FWI highly depends on a fairly well initial velocity …

Integrating migration velocity analysis and full waveform inversion can help reduce the high
non‐linearity of the classic full waveform inversion objective function. The combination of …

We investigate the feasibility of using the dynamic time warping (DTW) technique as an
alternative to windowed cross correlation (WCC) for an indirect measure to quantify both the …

The future in seismic exploration and seismic monitoring is the inclusion of all orders of
scattering in the imaging and inversion algorithms. Using the full wavefield in an inversion …

In controlled‐source seismology, the standard full waveform inversion (FWI) can't reliably
recover the macrovelocity structure in the deep part, if the surface seismic data lack of ultra …

Reflection-waveform inversion (RWI) can help us reduce the nonlinearity of the standard full-
waveform inversion by inverting for the background velocity model using the wave path of a …