Low-frequency extrapolation with deep learning
The lack of the low frequency information and good initial model can seriously affect the success of full waveform inversion (FWI) due to the inherent cycle skipping problem. Reasonable and reliable low frequency extrapolation is in principle the most direct way to solve this problem. In this paper,...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Society of Exploration Geophysicists
2020
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| Online Access: | https://hdl.handle.net/1721.1/124443 |