Seismic data processing with curvelets: a multiscale and nonlinear approach

TitleSeismic data processing with curvelets: a multiscale and nonlinear approach
Publication TypeConference
Year of Publication2007
AuthorsFelix J. Herrmann, Deli Wang, Gilles Hennenfent, Peyman P. Moghaddam
Conference NameSEG Technical Program Expanded Abstracts
Volume26
Page2220-2224
OrganizationSEG
KeywordsPresentation, SEG, SLIM
Abstract

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. {\copyright}2007 Society of Exploration Geophysicists

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Conferences/SEG/2007/herrmann07SEGsdp/herrmann07SEGsdp.pdf
DOI10.1190/1.2792927
Presentation

https://www.slim.eos.ubc.ca/Publications/Public/Conferences/SEG/2007/her...

Citation Keyherrmann2007SEGsdp