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Implementation strategies of the seismic Full Waveform Inversion

2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017
Full waveform inversion (FWI) is a state-of-the-art method that has been used to estimate parameters of the Earth's subsurface. One of the main drawbacks of the FWI method is its high computational complexity in terms of both time and memory. This occurs because the inversion method is based on the computation of a gradient function that requires the ...
Reynaldo F. Noriega   +3 more
openaire   +1 more source

Reflection full waveform inversion

2016
The Full Waveform Inversion (FWI) gradient is composed of a low wavenumber tomographic component and a high wavenumber migration component. A successful application of FWI requires that the low wavenumber parts of the model be recovered before the high wavenumbers.
openaire   +2 more sources

Bayesian full-waveform inversion with realistic priors

Geophysics, 2021
Xin Zhang, Andrew Curtis
exaly  

Full-waveform inversion by model extension: Theory, design, and optimization

Geophysics, 2023
Biondo Biondi   +2 more
exaly  

Application of optimal transport and the quadratic Wasserstein metric to full-waveform inversion

Geophysics, 2018
Yunan Yang   +2 more
exaly  

Correlation-based reflection full-waveform inversion

Geophysics, 2015
Yuzhu Liu, Benxin Chi, Liangguo Dong
exaly  

Total Variation Regularization Strategies in Full-Waveform Inversion

SIAM Journal on Imaging Sciences, 2018
Aleksandr Aravkin   +2 more
exaly  

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