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Abstract

Summary

Ship propeller noise (SPN) is commonly observed in the marine seismic survey. The removal of the SPN is of vital importance for the high-quality seismic imaging. In this paper, we propose an automatic approach to recognize the trajectory of the SPN and apply a time-invariant hyperbolic Radon transform (HRT) to suppress it. In the proposed method, the travel-time equation of the SPN is first derived, and then the apex of one dominant SPN event is detected using the lateral average filters. After that, an estimate of the distance between the noise source and the streamer is obtained by the semblance analysis. Finally, a time-invariant HRT, which can be implemented efficiently in the frequency domain, is applied to extract all the estimated SPN. To further improve the performance of the SPN removal, the iterative shrinkage algorithm is incorporated into the HRT by imposing sparseness constraints in the time domain. Both synthetic and real data examples demonstrate the effectiveness of the proposed method.

© EAGE Publications BV
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/content/papers/10.3997/2214-4609.20141582
2014-06-16
2024-04-26

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References

  1. Fookes, G., C.Warner, and R. V.Borselen
    , 2003. Practical interference noise elimination in modern marine data processing, 73rd Annual International Meeting, SEG, Expanded Abstracts, 1905–1908.
     [Google Scholar]
  2. Guo, M., J.Cai, J.Specht, and B.Wang
    , 2009. Constrained propeller ship noise removal and its application to OBC data, 79th Annual International Meeting, SEG, Expanded Abstracts, 3307–3311.
     [Google Scholar]
  3. Lu, W. K.
    , 2013. An accelerated sparse time-invariant Radon transform in mixed frequency-time domain based on iterative 2D model shrinkage, Geophysics, 78, V147–V155.
     [Google Scholar]
  4. Lu, W. K., Y. Q.Zhang, and B. R.Zhen
    , 2013. Localization and attenuation of diffracted seismic noise in shallow water, 75th EAGE Annual Conference, Expanded Abstracts.
     [Google Scholar]
  5. Manin, M. and J. N.Bonnot
    , 1993. Industrial and seismic noise removal in marine processing, 55th Annual Conference and Exhibition, EAGE.
     [Google Scholar]
  6. Wang, H., G.Liu, C. E.Hinz, and F. F.Snyder
    , 1989. Attenuation of marine coherent noise, 59th Annual International Meeting, SEG, Expanded Abstracts, 1112–1114.
     [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.20141582
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Ship Propeller Noise Removal Using a Time-invariant Hyperbolic Radon Transform
Conference Proceedings 2014, 1 (2014); https://doi.org/10.3997/2214-4609.20141582
/content/papers/10.3997/2214-4609.20141582
/content/papers/10.3997/2214-4609.20141582
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