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 …

Distributed acoustic sensing (DAS) is a rapidly growing technology for seismic acquisition,
with the potential to sample rarely available wavefield components in reservoir settings. How …

SeisFlows is an open source Python package that provides a customizable waveform
inversion workflow and framework for research in oil and gas exploration, earthquake …

Low values of P-and S-wave quality factors Q p and Q s result in strong intrinsic seismic
attenuation in seismic modeling and imaging. We use a linearized waveform inversion …

Stress-wave based nondestructive testing (NDT) systems such as cross-hole sonic logging
(CSL), low strain integrity testing, and ultrasonic echo devices (eg Sonicaliper) are routinely …

In the case of multi-parameter full-waveform inversion, the computation of the additional
Hessian terms that contain derivatives with respect to more than one type of parameter is …

Seismic waves are our primary tools to see the Earth's interior and draw inferences on its
structural, thermal and chemical properties. Seismic tomography, similar to medical …

As interest in foundation reuse increases, there has been renewed emphasis on
methodologies to characterize existing foundations for determination of unknown geometry …