Automatic WEMVA by Focusing Subsurface Offset Virtual Sources

Bingbing Sun, Tariq Ali Alkhalifah

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

1 Scopus citations

Abstract

Macro velocity building is important for subsequent prestack depth migration and full waveform inversion. Wave equation migration velocity analysis (WEMVA) utilizes band-limited waveform to invert the velocity in an automatic manner. Normally, inversion would be implemented by focusing the subsurface offset common image gathers(SOCIGs). We re-examine it with a different perspective and propose to view the SOCIGs and the background wavefield together as subsurface offset virtual sources(SOVS). A linear system connecting the perturbation of the position of those SOVS and velocity is derived and solved subsequently using a conjugate gradient method. Both synthetic and real dataset examples verify the correctness and effectiveness of the proposed method.
Original languageEnglish (US)
Title of host publication79th EAGE Conference and Exhibition 2017
PublisherEAGE Publications
ISBN (Print)9789462822177
DOIs
StatePublished - May 26 2017

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