2 papers
physics.geo-ph2020
Deep learning for low frequency extrapolation of multicomponent data in elastic full waveform inversion
Hongyu Sun, Laurent Demanet
Full waveform inversion (FWI) strongly depends on an accurate starting model to succeed. This is particularly true in the elastic regime: The cycle-skipping phenomenon is more seve…
physics.geo-ph2019
Extrapolated full waveform inversion with deep learning
Hongyu Sun, Laurent Demanet
The lack of low frequency information and a good initial model can seriously affect the success of full waveform inversion (FWI), due to the inherent cycle skipping problem. Comput…