Super-virtual Interferometric Separation and Enhancement of Back-scattered Surface Waves

Bowen Guo, Sherif Hanafy, Gerard T. Schuster

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Back-scattered surface waves can be migrated to detect near-surface reflectors with steep dips. A robust surface-wave migration requires the prior separation of the back-scattered surface-wave events from the data. This separation is often difficult to implement because the back-scattered surface waves are masked by the incident surface waves. We mitigate this problem by using a super-virtual interferometric method to enhance and separate the back-scattered surface waves. The key idea is to calculate the virtual back-scattered surface waves by stacking the resulting virtual correlated and convolved traces associated with the incident and back-scattered waves. Stacking the virtual back-scattered surface waves improves their signal-to-noise ratio and separates the back-scattered surface-waves from the incident field. Both synthetic and field data results validate the robustness of this method.
Original languageEnglish (US)
Pages (from-to)5092-5096
Number of pages5
JournalSEG Technical Program Expanded Abstracts 2015
Volume34
DOIs
StatePublished - Aug 19 2015

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