En route to waveform inversion by MBTT formulation : optimization for one shot and gradient for multiple shots

Abstract : This work is devoted to automatic determination of 2D background slowness from full waveform data. We have designed, in earlier works an original approach, the Migration-Based Travel Time (MBTT) reformulation of the waveform acoustic inversion problem and we give here its present status of development. After a brief recall of the principle of this approach, we address three important issues : first, we prove the legitimacy of the MBTT change of reflectivity unknowns, then we illustrate the ability of our MBTT criterion to be minimized with respect to background slowness by local techniques in the single shot case, and finally we show that, in the case of multiple shots, the firt gradient calculation is very promising for future minimization. We also show a validation of our gradient and we describe a Limited Memory Quasi-Newton minimization method.
Type de document :
Rapport
[Research Report] RR-2150, INRIA. 1994
Liste complète des métadonnées

https://hal.inria.fr/inria-00074523
Contributeur : Rapport de Recherche Inria <>
Soumis le : mercredi 24 mai 2006 - 15:40:20
Dernière modification le : vendredi 6 octobre 2017 - 12:30:05
Document(s) archivé(s) le : mardi 18 septembre 2012 - 09:35:12

Fichiers

Identifiants

  • HAL Id : inria-00074523, version 1

Collections

Citation

Guy Chavent, François Clément, Susana Gomez. En route to waveform inversion by MBTT formulation : optimization for one shot and gradient for multiple shots. [Research Report] RR-2150, INRIA. 1994. 〈inria-00074523〉

Partager

Métriques

Consultations de la notice

191

Téléchargements de fichiers

84