Seismic imaging and processing with curvelets

TitleSeismic imaging and processing with curvelets
Publication TypeConference
Year of Publication2007
AuthorsFelix J. Herrmann, Gilles Hennenfent, Peyman P. Moghaddam
Conference NameEAGE Annual Conference Proceedings
Month06
KeywordsEAGE, Presentation, SLIM
Abstract

In this paper, we present a nonlinear curvelet-based sparsity-promoting formulation for three problems in seismic processing and imaging namely, seismic data regularization from data with large percentages of traces missing; seismic amplitude recovery for sub-salt images obtained by reverse-time migration and primary-multiple separation, given an inaccurate multiple prediction. We argue why these nonlinear formulations are beneficial.

URLhttps://slim.gatech.edu/Publications/Public/Conferences/EAGE/2007/herrmann07EAGEsia/herrmann07EAGEsia.pdf
Presentation
URL2
Citation Keyherrmann2007EAGEsia