Adaptive stabilization for Q-compensated reverse time migration

Y Wang, H Zhou, H Chen, Y Chen - Geophysics, 2018 - library.seg.org
Reverse time migration (RTM) for attenuating media should take amplitude compensation
and phase correction into consideration. However, attenuation compensation during seismic …

A gradient-based Markov chain Monte Carlo method for full-waveform inversion and uncertainty analysis

Z Zhao, MK Sen - Geophysics, 2021 - library.seg.org
Traditional full-waveform inversion (FWI) methods only render a “best-fit” model that cannot
account for uncertainties of the ill-posed inverse problem. Additionally, local optimization …

Automated time-window selection based on machine learning for full-waveform inversion

Y Chen, J Hill, W Lei, M Lefebvre, J Tromp… - SEG technical …, 2017 - library.seg.org
Due to increased computational capabilities afforded by modern and future computer
architectures, the seismology community is demanding a more comprehensive …

A variational approach for picking optimal surfaces from semblance-like panels

L Decker, S Fomel - Geophysics, 2022 - library.seg.org
We propose and examine a variational method for determining optimal velocity fields from
semblance-like volumes using continuation. The proposed approach finds a minimal-cost …

Fast double plane wave full-waveform inversion using the scattering-integral method in frequency domain

Z Zhao, M Sen - SEG International Exposition and Annual Meeting, 2017 - onepetro.org
We propose a fast full waveform inversion (FWI) method using double plane wave (DPW)
data in frequency domain. The gradient of the misfit function can be obtained efficiently …

Fast building initial velocity modeling using encoding multiscale multishot full-waveform inversion

Y Guo, J Huang, C Cui, Z Li - SEG International Exposition and Annual …, 2017 - onepetro.org
For the traditional gradient inversion method, the Hessian matrix is an important factor to the
stability and computational efficiency. However, the accurate Hessian matrix is difficult to …