Full-waveform inversion (FWI) utilizes optimization methods to recover an optimal Earth
model to best fit the observed seismic record in a sense of a predefined norm. Since FWI …

Full-waveform inversion (FWI) aims at a broadband reconstruction of the subsurface
physical properties by fitting the entire recorded wavefield. In realistic exploration seismic …

Correctly interpreting phase events thanks to data processing techniques based on
correlation or deconvolution has been the focus of numerous studies in the field of high …

Least-squares reverse time migration (LSRTM) is currently one of the most advanced
migration imaging techniques in the field of geophysics. It uses least-squares inversion to fit …

Conventional full-waveform seismic inversion (FWI) tries to estimate a subsurface model that
can accurately predict surface records by minimizing an-norm misfit between observed and …

The establishment of the initial subsurface model is a crucial step for seismic inversion. An
accurate and reasonable initial model can mitigate the ill-posedness of seismic inversion …

In complex near-surface geologic settings, first-arrival traveltime tomography suffers from
strong data noise and uneven raypath coverage. To reduce the inversion nonuniqueness …

The irregular free surface topography has a significant impact on simulations of seismic
wave propagation. Therefore, an accurate representation of the irregular free surface is …

Full-waveform inversion (FWI) is a critical geophysical imaging technique, renowned for its
ability to generate high-precision subsurface structural models. However, FWI is a highly …

Least-squares reverse time migration (RTM) has become the method of choice for
quantitative seismic imaging. The main drawback of such a scheme is that it requires many …