Seismic image amplitude recovery
Title | Seismic image amplitude recovery |
Publication Type | Conference |
Year of Publication | 2007 |
Authors | Felix J. Herrmann |
Conference Name | SINBAD 2007 |
Keywords | Presentation, 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 Key | herrmann2007SINBADsia2 |