Robust seismic images amplitude recovery using curvelets

Moghaddam, Peyman P. and Herrmann, Felix J. and Stolk, Chris (2007) Robust seismic images amplitude recovery using curvelets. In: SEG Technical Program Expanded Abstracts - 2007, 23-28 September 2007, San Antonio, TX, USA.

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Abstract:	In this paper, we recover the amplitude of a seismic image by approximating the normal (demigration-migration) operator. In this approximation, we make use of the property that curvelets remain invariant under the action of the normal operator. We propose a seismic amplitude recovery method that employs an eigenvalue like decomposition for the normal operator using curvelets as eigen-vectors. Subsequently, we propose an approximate non-linear singularity-preserving solution to the least-squares seismic imaging problem with sparseness in the curvelet domain and spatial continuity constraints. Our method is tested with a reverse-time `wave-equation' migration code simulating the acoustic wave equation on the SEG-AA salt model.
Item Type:	Conference or Workshop Item
Copyright:	© 2007 Society of Exploration Geophysicists
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Applied Analysis and Mathematical Physics (AAMP)
Link to this item:	http://purl.utwente.nl/publications/62056
Official URL:	http://dx.doi.org/10.1190/1.2792928
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