Seismic data processing with curvelets: a multiscale and nonlinear approach

Description

In this abstract, we present a nonlinear curvelet-based sparsity-promoting formulation of a seismic processing flow, consisting of the following steps: seismic data regularization and the restoration of migration amplitudes. We show that the curvelet's wavefront detection capability and invariance under the migration-demigration operator lead to a formulation that is stable under noise and missing data.

Links & Downloads

1. Herrmann, Felix J. 2007. Seismic data processing with curvelets: a multiscale and nonlinear approach. SEG 77th Annual Meeting and Exposition.
2. http://hdl.handle.net/2429/600

Tags

migration demigration

curvelet

seismic data

regularization

restoration

migration amplitudes

nonlinear

curvelet domain sparsity

smoothness

overfitting

2D

2-D

Additional Fields

Identifer	oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:BVAU.2429/600
Date	January 2007
Creators	Herrmann, Felix J.
Publisher	Society of Exploration Geophysicists
Source Sets	Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada
Language	English
Detected Language	English
Type	text
Rights	Herrmann, Felix J.