We present a stochastic full-waveform inversion that makes use of a genetic algorithm to estimate acoustic 2D macro-models of the subsurface. We test this method on the Marmousi model. The proposed method is computationally expensive but yields a final (long wavelength) model that is well-suited to play the role of the starting model for a local full-waveform inversion.
Estimation of velocity macro-models using stochastic full-waveform inversion / A. Sajeva, M. Aleardi, A. Mazzotti, N. Bienati, E. Stucchi (EXPANDED ABSTRACTS WITH BIOGRAPHIES). - In: SEG Expanded Abstracts[s.l] : Society of Exploration Geophysicists, 2014. - pp. 1227-1231 [10.1190/segam2014-1088.1]
Estimation of velocity macro-models using stochastic full-waveform inversion
E. StucchiUltimo
2014
Abstract
We present a stochastic full-waveform inversion that makes use of a genetic algorithm to estimate acoustic 2D macro-models of the subsurface. We test this method on the Marmousi model. The proposed method is computationally expensive but yields a final (long wavelength) model that is well-suited to play the role of the starting model for a local full-waveform inversion.
| File | Dimensione | Formato | |
|---|---|---|---|
|
segam2014-1088%2E1.pdf
accesso riservato
Tipologia:
Publisher's version/PDF
Dimensione
2.18 MB
Formato
Adobe PDF
|
2.18 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
