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http://dx.doi.org/10.9720/kseg.2017.4.513

1D Wavelet Filtering for Groundroll Suppression in Land Seismic-Reflection Data  

Sa, Jin-Hyeon (Department of Earth and Environmental Sciences, Chungbuk National University)
Lee, Jae-Eun (Department of Earth and Environmental Sciences, Chungbuk National University)
Kim, Sung-Soo (School of Electrical Engineering, Chungbuk National University)
Kim, Ji-Soo (Department of Earth and Environmental Sciences, Chungbuk National University)
Publication Information
The Journal of Engineering Geology / v.27, no.4, 2017 , pp. 513-518 More about this Journal
Abstract
Groundroll is a coherent noise showing dispersive behavior in land seismic-reflection records and its rejection has been a stubborn problem in data processing because they severely degrade the continuities and resolution of reflection signals. Conventional processing schemes of attenuating noises are the kind of frequency filtering (i.e., bandpass and f-k) that uses the Fourier transform (FT) along the entire trace in the time domain. To suppress them in this study, 1D wavelet filtering (WT) that can control time-varying frequency properties is tested and performed in the land-based synthetic and field seismic data. The results are compared to the ones from conventional filtering techniques in terms of continuities and resolution of reflection events. This filtering technique enhanced the reflection events by effectively eliminating the dispersive groundroll and random noises with control of time-scale function on wavelet domain.
Keywords
groundroll suppression; land seismic data; dispersion; wavelet transform; wavelet filtering;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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