Regularized elastic full-waveform inversion using deep learning

Z Zhang, T Alkhalifah - Advances in subsurface data analytics, 2022 - Elsevier
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …

Least-squares reverse time migration in elastic media

Z Ren, Y Liu, MK Sen - Geophysical Journal International, 2017 - academic.oup.com
Elastic reverse time migration (RTM) can yield accurate subsurface information (eg PP and
PS reflectivity) by imaging the multicomponent seismic data. However, the existing RTM …

Accelerating Hessian-free Gauss-Newton full-waveform inversion via -BFGS preconditioned conjugate-gradient algorithm

W Pan, KA Innanen, W Liao - Geophysics, 2017 - library.seg.org
Full-waveform inversion (FWI) has emerged as a powerful strategy for estimating subsurface
model parameters by iteratively minimizing the difference between synthetic data and …

Minibatch least-squares reverse time migration in a deep-learning framework

J Vamaraju, J Vila, M Araya-Polo, D Datta… - …, 2021 - pubs.geoscienceworld.org
Migration techniques are an integral part of seismic imaging workflows. Least-squares
reverse time migration (LSRTM) overcomes some of the shortcomings of conventional …

An efficient step-length formula for correlative least-squares reverse time migration

Y Liu, J Teng, T Xu, Z Bai, H Lan, J Badal - Geophysics, 2016 - pubs.geoscienceworld.org
In correlative least-squares reverse time migration (CLSRTM), the estimation of the optimal
step size is usually determined by fitting a parabola and finding its minimum; it involves at …

Global Optimizing Prestack Seismic Inversion Approach Using an Accurate Hessian Matrix Based on Exact Zoeppritz Equations

P Xu, H Zhou, X Liu, J Zhou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
To increase the accuracy and vertical resolution of seismic inversion for exploratory
purposes, a new method was developed for P-wave velocity, S-wave velocity, and density …

Hybrid geometrical full waveform inversion for ultrasonic defect characterisation

X Yin, F Shi - Journal of Sound and Vibration, 2022 - Elsevier
A hybrid geometrical full waveform inversion (GFWI) method is presented in this article for
accurate ultrasonic defect characterisation using a phased array. The proposed method …

Effects of conjugate gradient methods and step-length formulas on the multiscale full waveform inversion in time domain: Numerical experiments

Y Liu, J Teng, T Xu, J Badal, Q Liu, B Zhou - Pure and Applied Geophysics, 2017 - Springer
We carry out full waveform inversion (FWI) in time domain based on an alternative frequency-
band selection strategy that allows us to implement the method with success. This strategy …

Least-squares reverse time migration via linearized waveform inversion using a Wasserstein metric

P Yong, J Huang, Z Li, W Liao, L Qu - Geophysics, 2019 - library.seg.org
Least-squares reverse time migration (LSRTM), an effective tool for imaging the structures of
the earth from seismograms, can be characterized as a linearized waveform inversion …

Hydraulic fracturing distributed acoustic sensing monitoring data source mechanism inversion: A Hessian-based method

S Wu, Y Wang, X Liang - Geophysics, 2023 - pubs.geoscienceworld.org
Distributed acoustic sensing (DAS) microseismic monitoring during hydraulic fracturing
provides microseismic data with high spatial samplings for fracturing zones. However …