Full waveform inversion based on dynamic data matching of convolutional wavefields
Cycle skipping problem caused by the absent of low frequencies and inaccurate initial model makes full waveform inversion (FWI) deviate from the true model. A novel method is proposed to mitigate cycle skipping phenomenon by dynamic data matching which improves the matching of synthetic and observed...
Kaydedildi:
| Asıl Yazarlar: | , , , , |
|---|---|
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Frontiers Media S.A.
2023-04-01
|
| Seri Bilgileri: | Frontiers in Earth Science |
| Konular: | |
| Online Erişim: | https://www.frontiersin.org/articles/10.3389/feart.2023.1134871/full |
| Etiketler: |
Etiket eklenmemiş, İlk siz ekleyin!
|