1887

Abstract

Summary

The existence of the random noise has a negative impact on the seismic prospecting records processing. An important step for improving attenuation methods is to scientifically characterize the properties of the seismic random noise. The modeling research is meaningful for cognizing the nature of the seismic random noise. In this study, we present a preliminary research of the parametric modeling for the seismic prospecting random noise. According the actual conditions of the seismic prospecting, a modeling algorithm based on fraction Brownian motion is proposed. By comparing the spectral properties between the noise data and its simulated results, the optimum parameter can be determined. We check the performance of the modeling algorithm by comparing the simulated record to the real noise data in terms of power spectral density and statistical moments. The experiments prove the appropriateness of our modeling algorithm.

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/content/papers/10.3997/2214-4609.201602107
2016-09-04
2024-03-29
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References

  1. Caserta, A., Consolini, G. and Michelis, P.D.
    [2007] Statistical features of the seismic noise-field. Studia Geophysica Et Geodaetica, 51(2), 255–266.
    [Google Scholar]
  2. Li, G., Li, Y. and Yang, B.
    [2015] Effect of wind on seismic random noise on land: modeling and analyzing. Journal of Applied Geophysics, 109, 106–118.
    [Google Scholar]
  3. Lundahl, T., Ohley, W.J., Kay, S.M. and Siffert, R.
    [1986] Fractional Brownian motion: a maximum likelihood estimator and its application to image texture. IEEE transactions on medical imaging, 5(3), 152–161.
    [Google Scholar]
  4. Mandelbrot, B.
    [1967] Some noises with 1/f spectrum, a bridge between direct current and white noise. IEEE Transactions on Information Theory, 13(2), 289–298.
    [Google Scholar]
  5. Mandelbrot, B. and van Ness, J.W.
    [1968] Fractional Brownian motions, fractional noise and applications. SIAM Review, 10(4), 422–437.
    [Google Scholar]
  6. Thomson, D.J.
    [1982] Spectrum estimation and harmonic analysis. Proc. IEEE, 70, 1055–1096.
    [Google Scholar]
  7. Yilmaz, O.
    [2001] Seismic data analysis: processing, inversion, and interpretation of seismic data (Second Edition). Soc. Exploration Geophysicists, Tulsa, USA, 169.
    [Google Scholar]
  8. Zhong, T., Li, Y., Wu, N., Nie, P.F. and Yang, B.J.
    [2015] Statistical analysis of background noise in seismic prospecting. Geophysical Prospecting, 63(5), 1161–1174.
    [Google Scholar]
  9. ZhongT, LiY, WuN, Nie, P.F. and Yang, B.J.
    [2015] A Study on the Stationarity and Gaussianity of the Background noise in Land Seismic Prospecting. Geophysics, 80(4), V67–V82.
    [Google Scholar]
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