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

Full-waveform inversion (FWI) promises a high-resolution model of the earth. It is, however,
a highly nonlinear inverse problem; thus, we iteratively update the subsurface model by …

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 …

Conventional methods solve the full‐waveform inversion making use of gradient‐based
algorithms to minimize an error function, which commonly measure the Euclidean distance …

Cycle skipping is a severe issue in full-waveform inversion. One option to overcome it is to
extend the search space to allow for data comparisons beyond the “point-to-point” …

We have developed a method to obtain a misfit function for robust waveform inversion. In
this method, called adaptive traveltime inversion (ATI), a matching filter that matches …

A full-waveform inversion (FWI) is a highly nonlinear inversion methodology. FWI tends to
converge to a local minimum rather than a global one. We refer to this phenomenon as …

In the inversion part of the full-waveform inversion (FWI) that brings high resolution in finding
a convergence point in the model space, a localized numerical optimization technique …

Joint full waveform inversion (JFWI) builds a P-wave velocity (Vp) macromodel
simultaneously exploiting the information carried by diving waves and deep-reaching …

Considering the conventional seismic wavelength and the nature of the Earth's layering,
seismic waves experience, in many parts of the subsurface, considerable anisotropy, and …