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Abstract

Summary

This work deals with the use of the Continuous Wavelet Transform (CWT) for the attenuation of Ground-Roll (GR) noise in seismic reflection land data. The CWT is a multi-resolution method that yields a time-frequency (scale) representation of a signal. With respect to classical Fourier-based approach, such as the Short Time Fourier Transform (STFT), the CWT is not limited by the choice of a user-defined fixed-duration window function, thus it is not limited by a fixed time-frequency resolution. This property is of particular interest for the analysis of non-stationary signal such as GR. The transformed domain provided by the CWT (the wavelet spectrum) is able to offer an improved representation of the frequency components of a signal, making it easy to identify the GR and to draw a time-frequency filter aimed at removing it. This work also shows that the filter design has a simple implementation and it allows for the application of complex-shape filters that are hardly or not applicable for Fourier-based methods. The proposed CWT filtering is applied to near surface and deep seismic reflection land data yielding quite satisfactory results, which are illustrated in both the shot gather and stack domain

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/content/papers/10.3997/2214-4609.201801417
2018-06-11
2024-04-25

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References

  1. Daubechies, I.
    [1990] The wavelet transform time-frequency localization and signal analysis. IEEE Transaction on Information Theory, 36, 961–1005. DOI 10.1109/18.57199
     https://doi.org/10.1109/18.57199 [Google Scholar]
  2. [1992] Ten Lectures on Wavelets. Society of Industrial and Applied Mathematics, 357 pp. DOI 10.1137/1.9781611970104
     https://doi.org/10.1137/1.9781611970104 [Google Scholar]
  3. Deighan, A.J. and Watts, D.R.
    [1997] Ground roll suppression using the wavelet transform. Geophysics, 62, 1896–1903. DOI 10.1190/1.1444290
     https://doi.org/10.1190/1.1444290 [Google Scholar]
  4. Farge, M.
    [1992] Wavelet transforms and their applications to turbulence. Annual Review of Fluid Mechanics, 24, 395–457. DOI 24.010192.002143
     https://doi.org/24.010192.002143 [Google Scholar]
  5. Lau, K.M. and Weng, H.
    [1995] Climate signal detection using wavelet transform: how to make a time series sing. Bulletin of the American Meteorological Society, 76, 2391–2402.
     [Google Scholar]
  6. Mallat, S.
    [2009] A Wavelet Tour of Signal Processing. 3rd ed, Academic Press Inc.
     [Google Scholar]
  7. Sadowsky, J.
    [1996] Investigation of signal characteristics using the continuous wavelet transforms. Johns Hopkins APL Technical Digest, 17, 258–269.
     [Google Scholar]
  8. Sinha, S., Routh, R., Anno, P. and Castagna, J.
    [2005] Spectral decomposition of seismic data with continuous-wavelet transform. Geophysics, 70, 19–25.
     [Google Scholar]
  9. Tognarelli, A. and Stucchi, E.
    [2016] S/N enhancement by means of array simulation for near surface seismic investigations. Near Surface Geophysics, 14(3), 221–229. DOI 10.3997/1873‑0604.2016013
     https://doi.org/10.3997/1873-0604.2016013 [Google Scholar]
  10. Tognarelli, A., Zanchetta, G, Regattieri, E., Isola, I., Drysdale, R.N., Bini, M. and Hellstrom, J.C.
    [2018] Wavelet analysis of δ18O and δ13C time-series from an Holocene speleothem record from Corchia Cave (central Italy): insights for the recurrence of dry-wet periods in the Central Mediterranean. Italian Journal Geosciences. DOI 10.3301/IJG2017.21
     https://doi.org/10.3301/IJG2017.21 [Google Scholar]
  11. Torrence, C. and Compo, G.P.
    [1998] A practical guide to wavelet analysis. Bulletin of the American Meteorological Society, 79, 61–78.
     [Google Scholar]
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The Use of Continuous Wavelet Transform for Ground-Roll Attenuation
Conference Proceedings 2018, 1 (2018); https://doi.org/10.3997/2214-4609.201801417
/content/papers/10.3997/2214-4609.201801417
/content/papers/10.3997/2214-4609.201801417
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