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Seismic ground roll time–frequency filtering using the gaussian wavelet transform

Author

Listed:
  • Corso, G.
  • Kuhn, P.S.
  • Lucena, L.S.
  • Thomé, Z.D.

Abstract

Seismic signal processing is an important task in geophysics sounding and represents a permanent challenge in petroleum exploration. Although seismograms could in principle give us a picture of a geological structure, they are very contaminated by spurious signals (having the ground roll as the main component). This fact demands a big effort in developing new filtering methodologies. Using the Gaussian wavelet transform, a filtering method for ground roll removal is developed. The filter allows a local extraction of the ground roll, it is adaptative to trace and it has an attenuation factor that keeps the average frequency spectrum. This method is tested for a land-based seismic signal leading to promising results.

Suggested Citation

  • Corso, G. & Kuhn, P.S. & Lucena, L.S. & Thomé, Z.D., 2003. "Seismic ground roll time–frequency filtering using the gaussian wavelet transform," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 318(3), pages 551-561.
    • Handle: RePEc:eee:phsmap:v:318:y:2003:i:3:p:551-561
    DOI: 10.1016/S0378-4371(02)01379-1
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    Citations

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    Cited by:

    1. Henriques, M.V.C. & Leite, F.E.A. & Andrade, R.F.S. & Andrade, J.S. & Lucena, L.S. & Neto, M. Lucena, 2015. "Improving the analysis of well-logs by wavelet cross-correlation," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 417(C), pages 130-140.
    2. Koohi Lai, Z. & Jafari, G.R., 2013. "Non-Gaussianity effects in petrophysical quantities," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 5132-5137.
    3. Yiqing Shao & Zengchuan Dong & Jinyu Meng & Shujun Wu & Yao Li & Shengnan Zhu & Qiang Zhang & Ziqin Zheng, 2023. "Analysis of Runoff Variation and Future Trends in a Changing Environment: Case Study for Shiyanghe River Basin, Northwest China," Sustainability, MDPI, vol. 15(3), pages 1-23, January.
    4. Oliveira, M.S. & Henriques, M.V.C. & Leite, F.E.A. & Corso, G. & Lucena, L.S., 2012. "Seismic denoising using curvelet analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(5), pages 2106-2110.
    5. Leite, F.E.A. & Montagne, Raúl & Corso, G. & Vasconcelos, G.L. & Lucena, L.S., 2008. "Optimal wavelet filter for suppression of coherent noise with an application to seismic data," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(7), pages 1439-1445.

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