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Reflection full waveform inversion
2016The 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.
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Full-waveform inversion by model extension: Theory, design, and optimization
Geophysics, 2023Biondo Biondi +2 more
exaly
Progressive transfer learning for low-frequency data prediction in full-waveform inversion
Geophysics, 2021Jiefu Chen, Wenyi Hu, Xuqing Wu
exaly
Impedance inversion by using the low-frequency full-waveform inversion result as an a priori model
Geophysics, 2019Sanyi Yuan, Yaneng Luo, Shangxu Wang
exaly
Application of optimal transport and the quadratic Wasserstein metric to full-waveform inversion
Geophysics, 2018Yunan Yang +2 more
exaly
Correlation-based reflection full-waveform inversion
Geophysics, 2015Yuzhu Liu, Benxin Chi, Liangguo Dong
exaly
Total Variation Regularization Strategies in Full-Waveform Inversion
SIAM Journal on Imaging Sciences, 2018Aleksandr Aravkin +2 more
exaly

