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 …

The problem of inverting for multiple physical parameters in the subsurface using seismic full-
waveform inversion (FWI) is complicated by interparameter trade-off arising from inherent …

Seismic full-waveform inversion (FWI) methods hold strong potential to recover multiple
subsurface elastic properties for hydrocarbon reservoir characterization. Simultaneously …

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 …

For full-waveform inversion (FWI), building the salt structure velocity model is a challenging
problem. In the absence of a high-fidelity initial model, low-frequency seismic data are …

Strong-scattering inversion or the inverse problem for strong scattering has different physical-
mathematical foundations from the weak-scattering case. Seismic inversion based on wave …

Elastic full waveform inversion (EFWI) is essential for obtaining high-resolution multi-
parameter models. However, the conventional EFWI may suffer from severe cycle skip** …

The truncated Newton method uses information contained in the exact Hessian in full-
waveform inversion (FWI). The exact Hessian physically contains information regarding …

Full waveform inversion (FWI) is a technique used to estimate subsurface model parameters
by minimizing the difference between observed and calculated seismic data. Sparsity …

Elastic full-waveform inversion (EFWI) methods hold strong potential to provide high-
resolution estimates of subsurface properties. However, the nonlinearity of EFWI and …