Multi-source least-squares migration of marine data

Xin Wang, Gerard T. Schuster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations


Kirchhoff based multi-source least-squares migration (MSLSM) is applied to marine streamer data. To suppress the crosstalk noise from the excitation of multiple sources, a dynamic encoding function (including both time-shifts and polarity changes) is applied to the receiver side traces. Results show that the MSLSM images are of better quality than the standard Kirchhoff migration and reverse time migration images; moreover, the migration artifacts are reduced and image resolution is significantly improved. The computational cost of MSLSM is about the same as conventional least-squares migration, but its IO cost is significantly decreased.
Original languageEnglish (US)
Title of host publicationSEG Technical Program Expanded Abstracts 2012
PublisherSociety of Exploration Geophysicists
Number of pages5
ISBN (Print)9781622769452
StatePublished - Oct 25 2012

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01


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