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Abstract

The high cost of acquiring seismic data in Marine environments compels the adoption of simultaneoussource acquisition - an emerging technology that is stimulating both geophysical research and commercial efforts. In this paper, we discuss the properties<br>of randomized simultaneous acquisition matrices and demonstrate that sparsity-promoting recovery improves the quality of the reconstructed seismic data volumes. Simultaneous Marine acquisition calls for the development of a new set of design principles<br>and post-processing tools. Leveraging established findings from the field of compressed sensing, the recovery from simultaneous sources depends on a sparsifying transform that compresses seismic data, is fast, and reasonably incoherent with the compressive sampling matrix. To achieve this incoherence, we use random time dithering where sequential acquisition with a single airgun is replaced by continuous acquisition with multiple airguns firing at random times and at random locations. We demonstrate our results with simulations of simultaneous Marineacquisition using periodic and randomized time dithering.

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/content/papers/10.3997/2214-4609-pdb.264.SBGF_3074
2011-08-15
2024-03-28
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http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609-pdb.264.SBGF_3074
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