1887

Abstract

Summary

Blended (simultaneous) sources in marine seismic acquisitions improve the acquisition efficiency, reducing the acquisition costs and the number of acquired data, obtaining data with mixed information. Traditional data processing for blended data requires a de-blending or separation stage before the reconstruction of velocity model with the FWI method. In this document is developed a source coding optimization in distance and time delay, based on the minimum mutual coherence criteria between blended sources, with the aim to improve the final velocity model avoiding the de-blending step. FWI is implemented to contrast the optimal coded blended distribution with randomly coded blended distribution and traditional equally spaced sources. It is shown that optimal blended distribution of sources improves the final velocity model versus random coding, decreasing the artifacts in the image and obtaining a model closer to the model obtained with traditional acquisition, decreasing the processing time.

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/content/papers/10.3997/2214-4609.201803076
2018-09-21
2020-05-26
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References

  1. OGP
    OGP, “An overview of marine seismic operations,” International Association of Oil and Gas Producers, vol. 448, 2011.
    [Google Scholar]
  2. A.Anagaw y M.Sacchi
    , «Full waveform inversion using blended acquisition geometry with different frequency strategies,» de 74th EAGE Conference and Exhibition incorporating EUROPEC, 2012.
    [Google Scholar]
  3. A.Bruckstein, D.Donoho y M.Elad
    , «From sparse solutions of systems of equations to sparse modeling of signals and images,» de SIAM review, vol. 51, pp. 34–81, 2009.
    [Google Scholar]
  4. R.Obermeier y J. A.Martinez-Lorenzo
    , «Sensing Matrix Desing via Mutua Coherence Minimization for Electromagnetic Compressice Imaging Applications,» IEEE Transactions on Computational Imaging, vol. 3, n° 2, p. 217229, 2017.
    [Google Scholar]
  5. J.Nocedal y S.Wright
    , Numerical optimization, Springer science & Busines Media, 2006.
    [Google Scholar]
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