Time-domain least-squares RTM with sparsity promotion on field data

TitleTime-domain least-squares {RTM} with sparsity promotion on field data
Publication TypeSINBAD Presentation
AuthorsPhilipp A. Witte, Felix J. Herrmann
PublisherSINBAD
Year of Publication2016
Abstract

Least squares reverse time migration (LSRTM) is an inversion based imaging algorithm which can surpress acquisition related artifacts and provides images with increased frequency content, decreased noise level and balanced amplitudes. In this work demonstrate our time-domain LSRTM workflow using various pre-conditioners, source-subsampling and sparsity promotion and show its application to the 2D Machar field data set.

KeywordsPresentation, private, SINBAD, SINBADFALL2016, SLIM
URLhttps://www.slim.eos.ubc.ca/Publications/Private/Conferences/SINBAD/2016/Fall/witte2016SINBADFtdl/witte2016SINBADFtdl.pdf
URL1

https://www.slim.eos.ubc.ca/Publications/Private/Conferences/SINBAD/2016...

Citation Keywitte2016SINBADFtdl