A constrained-based optimization approach for seismic data recovery problems

Abstract : Random and structured noise both affect seismic data, hiding the reflections of interest (primaries) that carry meaningful geo-physical interpretation. When the structured noise is composed of multiple reflections, its adaptive cancellation is obtained through time-varying filtering, compensating inaccuracies in given approximate templates. The under-determined problem can then be formulated as a convex optimization one, providing estimates of both filters and primaries. Within this framework, the criterion to be minimized mainly consists of two parts: a data fidelity term and hard constraints model-ing a priori information. This formulation may avoid, or at least facilitate, some parameter determination tasks, usually difficult to perform in inverse problems. Not only classical constraints, such as sparsity, are considered here, but also constraints expressed through hyperplanes, onto which the projection is easy to compute. The latter constraints lead to improved performance by further constraining the space of geophysically sound solutions.
Type de document :
Communication dans un congrès
ICASSP 2014 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Firenze, Italy. 39th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp.2377-2381, 2014, 〈10.1109/ICASSP.2014.6854025〉
Liste complète des métadonnées

Littérature citée [23 références]  Voir  Masquer  Télécharger

https://hal.archives-ouvertes.fr/hal-01278420
Contributeur : Caroline Chaux <>
Soumis le : mercredi 24 février 2016 - 13:43:50
Dernière modification le : lundi 29 février 2016 - 18:16:34
Document(s) archivé(s) le : mercredi 25 mai 2016 - 10:40:10

Fichier

Pham_M_2014_p-icassp_constrain...
Fichiers produits par l'(les) auteur(s)

Identifiants

Citation

Mai Quyen Pham, Caroline Chaux, Laurent Duval, Jean-Christophe Pesquet. A constrained-based optimization approach for seismic data recovery problems. ICASSP 2014 - IEEE International Conference on Acoustics, Speech and Signal Processing, May 2014, Firenze, Italy. 39th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp.2377-2381, 2014, 〈10.1109/ICASSP.2014.6854025〉. 〈hal-01278420〉

Partager

Métriques

Consultations de
la notice

241

Téléchargements du document

79