Open Collections

Moghaddam, Peyman P.; Herrmann, Felix J.; Stolk, Christiaan C.

Society of Exploration Geophysicists

In this paper, we recover the amplitude of a seismic image by approximating the normal (demigrationmigration) 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.

Demigration migration operator; Curvelets; Amplitude recovery; Invariance; Seismic amplitude; Amplitude correction; Signal recovery; Diagonal approximation

Text

eng

Vancouver : University of British Columbia Library

10.14288/1.0107426

Science, Faculty of; Earth and Ocean Sciences, Department of

Unreviewed

Herrmann Felix J.