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Étude d'algorithmes de restauration d'images sismiques par optimisation de forme non linéaire et application à la reconstruction sédimentaire

Abstract : We present a new method for seismic image restoration. When observed, a seismic image is the result of an initial deposit system that has been transformed by a set of successive geological deformations (folding, fault slip, etc) that occurred over a large period of time. The goal of seismic restoration consists in inverting the deformations to provide a resulting image that depicts the geological deposit system as it was in a previous state. With our contribution, providing a tool that quickly generates restored images helps the geophysicists to recognize geological features that may be too strongly altered in the observed image. The proposed approach is based on a minimization process that expresses geological deformations in terms of geometrical constraints. We use a quickly-converging Gauss-Newton approach to solve the system. We provide results to illustrate the seismic image restoration process on real data and present how the restored version can be used in a geological interpretation framework.
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Contributor : Mathieu Gilardet Connect in order to contact the contributor
Submitted on : Friday, February 28, 2014 - 12:12:01 AM
Last modification on : Tuesday, February 15, 2022 - 3:41:26 AM
Long-term archiving on: : Wednesday, May 28, 2014 - 10:45:47 AM

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Mathieu Gilardet. Étude d'algorithmes de restauration d'images sismiques par optimisation de forme non linéaire et application à la reconstruction sédimentaire. Algorithme et structure de données [cs.DS]. Université de Pau et des Pays de l'Adour, 2013. Français. ⟨tel-00952964⟩

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