1887
Volume 39 Number 5
  • ISSN: 0263-5046
  • E-ISSN: 1365-2397

Abstract

Abstract

In marine seismic data acquisition, de-blending multiple simultaneous sources is a challenging, undetermined problem and sparsity constraints are often used to derive a stable solution. In this article, we discuss the impact of additional adaptive constraints. In particular, we investigate conformity to a) direct wave modelling, b) ghost modelling and c) variations of signal-to-noise ratio. We find that these additional constraints improve convergence significantly. We demonstrate the performance of the proposed approach on a narrow-azimuth marine streamer survey acquired with triple-source simultaneous shooting and natural dithers. The proposed approach addresses the key de-blending challenges for this dataset which are protecting aliased steeply dipping events and avoiding signal damage.

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2021-05-01
2021-05-11
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