We used a novel iterative estimation scheme for separation of blended seismic data from
simultaneous sources. The scheme is based on an augmented estimation problem that can …

Traditional approaches of using dispersion curves for S-wave velocity reconstruction have
limitations, principally, the 1D-layered model assumption and the automatic/manual picking …

Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …

Full waveform inversion (FWI) requires a hierarchical approach to maneuver the complex
non-linearity associated with the problem of velocity update. In anisotropic media, the non …

Building realistic and reliable models of the subsurface is the primary goal of seismic
imaging. We have constructed an ensemble of convolutional neural networks (CNNs) to …

The S-wave velocity of the shallow subsurface can be inferred from shallow-seismic
Rayleigh waves. Traditionally, the dispersion curves of the Rayleigh waves are inverted to …

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) of Rayleigh waves is attractive for shallow geotechnical
investigations due to the high sensitivity of Rayleigh waves to the S-wave velocity structure …

Reservoir characterization is an essential component of oil and gas production, as well as
exploration. Classic reservoir characterization algorithms, deterministic and stochastic, are …