Low-rank representation of extended image volumes––applications to imaging and velocity continuation

TitleLow-rank representation of extended image volumes––applications to imaging and velocity continuation
Publication TypeConference
Year of Publication2018
AuthorsRajiv Kumar, Marie Graff-Kray, Tristan van Leeuwen, Felix J. Herrmann
Conference NameSEG Technical Program Expanded Abstracts
Page4418-4422
Month10
Keywordsimage volume, low-rank, SEG, velocity continuation
Abstract

In this paper, we present a cost-effective low-rank factorized form of computing the full subsurface extended image volumes without explicitly calculating the receiver wavefields. The propose approach is computationally feasible, which exploits the low-rank structure of full subsurface extended image volumes organized as a matrix, thus avoiding the customary loop over sources. Using carefully selected stylized examples, we show how conventional migration images can be extracted from the low-rank factorized form. We also present a velocity continuation procedure that uses the same low-rank form and allows us to map the extended image for one velocity model to another velocity model without recomputing all the source wavefields.

Notes

(SEG, Anaheim)

URLhttps://slim.gatech.edu/Publications/Public/Conferences/SEG/2018/kumar2018SEGlreiv/kumar2018SEGlreiv.html
DOI10.1190/segam2018-2998404.1
Citation Keykumar2018SEGlreiv