Imaging near-surface heterogeneities by natural migration of backscattered surface waves

Abdullah AlTheyab, Fan-Chi Lin, Gerard T. Schuster

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

We present a migration method that does not require a velocity model to migrate backscattered surface waves to their projected locations on the surface. This migration method, denoted as natural migration, uses recorded Green's functions along the surface instead of simulated Green's functions. The key assumptions are that the scattering bodies are within the depth interrogated by the surface waves, and the Green's functions are recorded with dense receiver sampling along the free surface. This natural migration takes into account all orders of multiples, mode conversions and non-linear effects of surface waves in the data. The natural imaging formulae are derived for both active source and ambient-noise data, and computer simulations show that natural migration can effectively image near-surface heterogeneities with typical ambient-noise sources and geophone distributions.
Original languageEnglish (US)
Pages (from-to)1332-1341
Number of pages10
JournalGeophysical Journal International
Volume204
Issue number2
DOIs
StatePublished - Jan 6 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): OCRF-2014-CRG3-62140387/ORS#2300
Acknowledgements: This publication is based upon work supported by the KAUST
Office of Competitive Research Funds (OCRF) under award no.
OCRF-2014-CRG3-62140387/ORS#2300. We thank the sponsors for supporting the Consortium of Subsurface Imaging and Fluid Modeling (CSIM). AlTheyab is grateful to Saudi ARAMCO for sponsoring his graduate studies. For computer time, this research used the resources of the Supercomputing Laboratory at King Abdullah University of Science & Technology (KAUST) in Thuwal, Saudi Arabia.

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