Multi-domain target-oriented imaging using extreme-scale matrix factorization

TitleMulti-domain target-oriented imaging using extreme-scale matrix factorization
Publication TypePresentation
Year of Publication2017
AuthorsRajiv Kumar, Marie Graff-Kray, Ivan Vasconcelos, Felix J. Herrmann
KeywordsPresentation, SINBAD, SINBADFALL2017, SLIM
Abstract

In this work, we present an alternative approach to redatum both source and receivers at depth, under the framework of reflectivity-based extended images with two-way wave propagation in the background medium. We propose a randomized svd based probing scheme that takes advantage of the algebraic structure of the extended imaging system to overcome the computational cost and memory usage associated with the number of wave-equation solutions and explicit storage employed by conventional migration methods. Experimental results on complex geological models demonstrate the efficacy of proposed methodology in performing multi-domain target imaging.

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SINBAD/2017/Fall/kumar2017SINBADFmdt/kumar2017SINBADFmdt.pdf
URL2
Citation Keykumar2017SINBADFmdt