Imaging near-surface heterogeneities by natural migration of backscattered surface waves
KAUST DepartmentCenter for Subsurface Imaging and Fluid Modeling
Earth Science and Engineering Program
Physical Science and Engineering (PSE) Division
KAUST Grant NumberOCRF-2014-CRG3-62140387/ORS#2300
Online Publication Date2016-01-06
Print Publication Date2016-02-01
Permanent link to this recordhttp://hdl.handle.net/10754/600474
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AbstractWe 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.
CitationImaging near-surface heterogeneities by natural migration of backscattered surface waves 2016, 204 (2):1332 Geophysical Journal International
SponsorsThis 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.
PublisherOxford University Press (OUP)