MULTIPLE SUPPORT BASED SEISMIC ATTRIBUTES

Barna Keresztes (1, 2) , Olivier Lavialle (1) , Monica Borda (3)

1 IMS - Laboratoire de l'intégration, du matériau au système
2 Faculty of Electronics, Telecommunications and Information Technology
3 Faculty of Electronics, Telecommunications and Information Technology

In this paper, we present a new approach for seismic fault detection. Our goal is to increase the detection accuracy by computing some classical attributes on a support founded on an a priori knowledge about the faults. Two forms of support are proposed: one approximating the fault by a set of linear sub-segments of fixed length, the other founded on a more complex curved support which aims to describe the whole fault system. In the second case, computing all the possible configurations to detect the real location of the faults is illusory; then, we propose a fault detection algorithm based on a stochastic approach. One interest of this approach is the possibility of using a common support for different fault detection operators. Then a whole detection framework can be proposed which acts like a decision fusion process.

Mots clés: marked point processes; seismic imagery; fault detection; marked point processes.

Domaines: Traitement des images [eess.IV]

Barna Keresztes, Olivier Lavialle, Monica Borda. MULTIPLE SUPPORT BASED SEISMIC ATTRIBUTES. 2008 IEEE International Geoscience & Remote Sensing Symposium, Jul 2008, BOSTON, United States. 4 p. ⟨hal-00333249⟩