Seismic image amplitude recovery

TitleSeismic image amplitude recovery
Publication TypeConference
Year of Publication2007
AuthorsFelix J. Herrmann
Conference NameSINBAD 2007
KeywordsPresentation, SINBAD, SLIM
Abstract

In this talk, 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 nonlinear 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. This is joint work with Peyman Moghaddam and Chris Stolk (University of Twente)

Citation Keyherrmann2007SINBADsia2