SEISMIC FAULT DETECTION USING MARKED POINT PROCESSES

Abstract : A stochastic model for fault detection in 2D sections of seismic blocks is presented. The model is a marked point process in which each fault is modeled by a parabola. Three classical fault attributes are proposed to measure the likelihood of a fault. The computation of the likelihood can be based on one of the attributes as fault detector or on a composite function using the three measures. We present results on real 3D blocks to demonstrate the effectiveness of our approach. Using marked point process allows overcoming the drawbacks which are observed with the direct use of classical fault attributes.
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Conference papers
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https://hal.archives-ouvertes.fr/hal-00400822
Contributor : Olivier Lavialle <>
Submitted on : Wednesday, July 1, 2009 - 6:21:39 PM
Last modification on : Thursday, January 11, 2018 - 6:21:06 AM

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  • HAL Id : hal-00400822, version 1

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Barna Keresztes, Olivier Lavialle, Monica Borda. SEISMIC FAULT DETECTION USING MARKED POINT PROCESSES. IEEE ICIP (International Conference on Image Processing), Nov 2009, Le Caire, Egypt. p. 4. ⟨hal-00400822⟩

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