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Volume 58, Issue 3
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Marine seismic data are always affected by noise. An effective method to handle a broad range of noise problems is a time‐frequency de‐noising algorithm. In this paper we explain details regarding the implementation of such a method. Special emphasis is given to the choice of threshold values, where several different strategies are investigated. In addition we present a number of processing results where time‐frequency de‐noising has been successfully applied to attenuate noise resulting from swell, cavitation, strumming and seismic interference. Our seismic interference noise removal approach applies time‐frequency de‐noising on slowness gathers (τ− domain). This processing trick represents a novel approach, which efficiently handles certain types of seismic interference noise that otherwise are difficult to attenuate. We show that time‐frequency de‐noising is an effective, amplitude preserving and robust tool that gives superior results compared to many other conventional de‐noising algorithms (for example frequency filtering, τ− or fx‐prediction). As a background, some of the physical mechanisms responsible for the different types of noise are also explained. Such physical understanding is important because it can provide guidelines for future survey planning and for the actual processing.

© 2009 European Association of Geoscientists & Engineers
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2009-12-01
2024-04-27

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References

  1. AndersonR.G. and McMechanG.A.1989. Automatic editing of noisy seismic data. Geophysical Prospecting37, 875–892.
    [Google Scholar]
  2. BekaraM., FerreiraA. and Van Der BaanM.2008. A statistical technique for high amplitude noise detection: Application to swell noise attenuation. 78th SEG meeting, Las Vegas , Nevada , USA , Expanded Abstracts.
  3. BjellandC.1993. Reduction of noise in seismic hydrophone arrays modelling of breathing waves and adaptive noise cancelling . PhD thesis, University of Bergen , Norway .
    [Google Scholar]
  4. BrennenC.E.2005. Fundamentals of Multiphase Flow . Cambridge University Press.
    [Google Scholar]
  5. BullM.K. and DekkersW.1993. Vortex shedding from long slender cylinders in near‐axial flow. Physics of Fluids5, 3296–3298.
    [Google Scholar]
  6. CanalesL.L.1984. Random noise reduction. 54th SEG meeting, Atlanta , Georgia , USA , Expanded Abstracts, 525–527.
    [Google Scholar]
  7. DeighanA.J. and WattsD.R.1997. Ground‐roll suppression using the wavelet transform. Geophysics62, 1896–1903.
    [Google Scholar]
  8. DowlingA.1998. Underwater flow noise. Theoretical and Computational Fluid Dynamics10, 135–153.
    [Google Scholar]
  9. ElbothT., HermansenD. and AndreassenØ.2009a. Some unusual types of noise. 71st EAGE meeting, Amsterdam , the Netherlands , Expanded Abstracts, 56–58.
  10. ElbothT., ReifB.A. and AndreassenØ.2009b. Flow and swell noise in marine seismic. Geophysics74, Q17–Q25.
    [Google Scholar]
  11. FultonT.1985. Some interesting seismic noise. The Leading Edge4, 70–75.
    [Google Scholar]
  12. GulunayN.1986. Fxdecon and complex wiener prediction filter. 56th SEG meeting, Houston , Texas , USA , Expanded Abstracts, 279–281.
  13. GulunayN.2008. Two different algorithms for seismic interference noiser attenuation. The Leading Edge27, 176–181.
    [Google Scholar]
  14. GulunayN., MagesanM. and BaldockS.2004. Seismic interference noise attenuation. 74th SEG meeting, Denver , Colorado , USA , Expanded Abstracts.
  15. HasselbladV.1969. Estimation of finite mixtures of distributions from the exponential family. Journal of the American Statistical Association64, 1459–1471.
    [Google Scholar]
  16. HeenanA.F. and MorrisonJ.F.2002a. Turbulent boundary layers on axially‐inclined cylinders. I., Surfacepressure/velocity correlations. Experiments in Fluids32, 547–557.
    [Google Scholar]
  17. HeenanA.F. and MorrisonJ.F.2002b. Turbulent boundary layers on axially‐inclined cylinders. II. Circumferentially averaged wall‐pressure wavenumber‐frequency spectra. Experiments in Fluids32, 616–623.
    [Google Scholar]
  18. HerkenhoffE., BonesF., LouielD. and HuK.B.2004. Method for signal‐to‐noise ration enhancement of seismic data using amplitude noise attenuation. Patent wo/2004/104636.
  19. HerrmannF.J.2004. Curvelet imaging and processing: an overview. CSEG National Convention.
    [Google Scholar]
  20. KunduP.K.1977. Fluid Mechanics . Academic Press.
    [Google Scholar]
  21. MiaoX. and CheadleS.1998. Noise attenuation with wavelet transforms. 68th SEG meeting, New Orleans , Lousiana , Expanded Abstracts, 1072–1075.
  22. PartykaG., GridleyJ. and LopezJ.1999. Interpretational applications of spectral decomposition in reservoir characterization. The Leading Edge18, 353–360.
    [Google Scholar]
  23. PeacockJ.H., SykesC.G., CameronN.W. and PeardonL.G.1983. Advanced acoustic design for a new seismic streamer. 53rd SEG meeting, Las Vegas , Nevada , USA , Expanded Abstracts, 465–466.
  24. SchonewilleM., VignerA. and RyderA.2008. Swell‐noise attenaution using an iterative fx‐prediction filtering approach. 78th SEG meeting, Las Vegas , Nevada , USA , Expanded Abstracts, 2646–2651.
  25. SmithJ.G.1999. Amplitude and phase effects of weather noise. 69th SEG meeting, Houston , Texas , USA , Expanded Abstracts, 1485–1488.
  26. SnarskiS.2004. Flow over yawed circular cylinders: Wall pressure spectra and flow regimes. Physics of Fluids16, 344–359.
    [Google Scholar]
  27. SteinJ.A. and LangstonT.2007. A review of some powerful noise elimination techniques for land processing. 69th EAGE meeting, London , UK , Expanded Abstracts.
  28. UlrychT.J., SacchiM.D. and GraulJ.M.1999. Signal and noise separation: Art and science. Geophysics64, 1648–1656.
    [Google Scholar]
  29. WangY.1999. Random noise attenuation using forward‐backward linear prediction. Journal of Seismic Exploration8, 133–143.
    [Google Scholar]
  30. YuZ., DellingerJ., GutowskiP. and GarossinoP.2004. Seismic resolution enhancement in the wavelet‐transform domain. 74th SEG meeting, Denver , Colorado , USA , Expanded Abstracts, 1933–1936.
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Time‐frequency seismic data de‐noising
Geophysical Prospecting 58, 441 (2010); https://doi.org/10.1111/j.1365-2478.2009.00846.x
/content/journals/10.1111/j.1365-2478.2009.00846.x
/content/journals/10.1111/j.1365-2478.2009.00846.x
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  • Article Type: Research Article

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