Extrapolated full-waveform inversion with deep learning
Extrapolated full-waveform inversion with deep learning
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. Computational low frequency extrapolation is in principle the most direct way to address this issue. By considering bandwidth extension as a regression …