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Regularized elastic full-waveform inversion using deep learning
Elastic full-waveform inversion, which aims to match the waveforms of prestack seismic data,
potentially provides more accurate high-resolution reservoir characterization from seismic …
potentially provides more accurate high-resolution reservoir characterization from seismic …
Least-squares reverse time migration in elastic media
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 …
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
Full-waveform inversion (FWI) has emerged as a powerful strategy for estimating subsurface
model parameters by iteratively minimizing the difference between synthetic data and …
model parameters by iteratively minimizing the difference between synthetic data and …
Minibatch least-squares reverse time migration in a deep-learning framework
Migration techniques are an integral part of seismic imaging workflows. Least-squares
reverse time migration (LSRTM) overcomes some of the shortcomings of conventional …
reverse time migration (LSRTM) overcomes some of the shortcomings of conventional …
An efficient step-length formula for correlative least-squares reverse time migration
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 …
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 …
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 …
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
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 …
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
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 …
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 …
provides microseismic data with high spatial samplings for fracturing zones. However …