A cross-correlation objective function for least-squares migration and visco-acoustic imaging

Gaurav Dutta, Mrinal Sinha, Gerard T. Schuster

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

Conventional acoustic least-squares migration inverts for a reflectivity image that best matches the amplitudes of the observed data. However, for field data applications, it is not easy to match the recorded amplitudes because of the visco-elastic nature of the earth and inaccuracies in the estimation of source signature and strength at different shot locations. To relax the requirement for strong amplitude matching of least-squares migration, we use a normalized cross-correlation objective function that is only sensitive to the similarity between the predicted and the observed data. Such a normalized cross-correlation objective function is also equivalent to a time-domain phase inversion method where the main emphasis is only on matching the phase of the data rather than the amplitude. Numerical tests on synthetic and field data show that such an objective function can be used as an alternative to visco-acoustic least-squares reverse time migration (Qp-LSRTM) when there is strong attenuation in the subsurface and the estimation of the attenuation parameter Qp is insufficiently accurate.
Original languageEnglish (US)
Pages (from-to)3985-3990
Number of pages6
JournalSEG Technical Program Expanded Abstracts 2014
Volume33
DOIs
StatePublished - Aug 5 2014

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