A knowledge-based approach of seismic interpretation : horizon and dip-fault detection by means of cognitive vision.

Philippe Verney 1 Jean-Francois Rainaud 1 Michel Perrin 2 Monique Thonnat 3
1 IFPEN - IFP Energies nouvelles
2 École des Mines de Paris
3 PULSAR - Perception Understanding Learning Systems for Activity Recognition
CRISAM - Inria Sophia Antipolis - Méditerranée
Abstract : The present paper presents preliminary results obtained through a new seismic interpretation methodology based on cognitive vision. This methodology consists in associating to the geological objects to be detected, horizons or faults, visual characteristics that allow to easily identify and correlate them on seismic images. The results presented show that the method is performing well and is easy to be integrated in Shared Earth Modeling workflows.
Type de document :
Communication dans un congrès
SEG, International Exposition and 78th Annual Meeting, Nov 2008, Las Vegas, United States. 2008
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger
https://hal.inria.fr/inria-00507016
Contributeur : Monique Thonnat <>
Soumis le : lundi 30 août 2010 - 15:58:14
Dernière modification le : mardi 15 mai 2018 - 14:50:02
Document(s) archivé(s) le : jeudi 30 mars 2017 - 01:20:36

Fichier

SEG2008_Verney.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00507016, version 1

Collections

INRIA | IFP

Citation

Philippe Verney, Jean-Francois Rainaud, Michel Perrin, Monique Thonnat. A knowledge-based approach of seismic interpretation : horizon and dip-fault detection by means of cognitive vision.. SEG, International Exposition and 78th Annual Meeting, Nov 2008, Las Vegas, United States. 2008. 〈inria-00507016〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

840

Téléchargements de fichiers

331

Contact


archive-ouverte@inria.fr