Imaging with multiples accelerated by message passing

TitleImaging with multiples accelerated by message passing
Publication TypeConference
Year of Publication2012
AuthorsNing Tu, Felix J. Herrmann
Conference NameSEG Technical Program Expanded Abstracts
Volume31
Page1-6
Month11
OrganizationSEG
KeywordsImaging, multiples, SEG
Abstract

With the growing realization that multiples can provide valuable information, there is a paradigm shift from removing them to using them. For instance, primary estimation by sparse inversion has demonstrated its superiority over surface-related multiple removal in many aspects. Inspired by this shift, we propose a method to image directly from the total up-going wavefield, including surface-related multiples, by sparse inversion. To address the high computational cost associated with this method, we propose to speed up the inversion by having the wave-equation solver carry out the multi-dimensional convolutions implicitly and cheaply by randomized subsampling. We improve the overall performance of this algorithm by selecting new independent copies of the randomized modeling operator, which leads to a cancellation of correlations that hamper the speed of convergence of the solver. We show the merits of our approach on a number of examples.

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SEG/2012/tu2012SEGima/tu2012SEGima.pdf
DOI10.1190/segam2012-1552.1
Presentation

https://slim.gatech.edu/Publications/Public/Conferences/SEG/2012/tu2012S...

Citation Keytu2012SEGima