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

G. Corso, P.S. Kuhn, L.S. Lucena and Z.D. Thomé

Physica A: Statistical Mechanics and its Applications, 2003, vol. 318, issue 3, 551-561

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.

Keywords: Seismic processing; Noise filtering; Wavelets; Ground roll; Petroleum exploration (search for similar items in EconPapers)
Date: 2003
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:318:y:2003:i:3:p:551-561

DOI: 10.1016/S0378-4371(02)01379-1

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