1887

Abstract

Summary

We propose a gradient projection method that is applicable to least-squares migration for separation of simultaneous source seismic data. Using shot-profile split-step migration and de-migration operators, we notice that, in shot-index image domain, the simultaneous source interferences appear random whereas the desired signal is coherent. The latter is used as a coherency constraint for least-squares migration. We incorporate a projection operator, which is the Singular Spectrum Analysis (SSA) filter in shot-index domain, into gradient projection method to solve for a volume of artifacts-reduced shot-index gathers that honors the observed data. The method effectively suppresses simultaneous source crosstalk and improves the quality of shot-index image gathers. The outputs of our method can be a crosstalk-free migrated image and the deblended data set that can be used in conventional processing workflows.

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/content/papers/10.3997/2214-4609.201601413
2016-05-31
2020-04-09
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