Seismic data processing with curvelets: a multiscale and nonlinear approach

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 invaria...

Full description

Bibliographic Details
Main Author: Herrmann, Felix J.
Language:English
Published: Society of Exploration Geophysicists 2008
Subjects:
2D
2-D
Online Access:http://hdl.handle.net/2429/600
Description
Summary: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.