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
PublisherSEG
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. \copyright2007 Society of Exploration Geophysicists

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SEG/2007/herrmann07SEGsdp/herrmann07SEGsdp.pdf
DOI10.1190/1.2792927
Presentation
Citation Keyherrmann2007SEGsdp