Using the Wiener-Levinson algorithm to suppress ground-roll

KARSLI H., Bayrak Y.

JOURNAL OF APPLIED GEOPHYSICS, vol.55, pp.187-197, 2004 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 55
  • Publication Date: 2004
  • Doi Number: 10.1016/j.jappgeo.2003.11.003
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.187-197
  • Keywords: ground-roll noise, reference noise trace, Wiener-Levinson algorithm, TRANSFORM, DESIGN, NOISE
  • Karadeniz Technical University Affiliated: Yes


In land seismic surveys, the seismic data are mostly contaminated by ground-roll noise, high amplitude and low frequency. Since the ground-roll is coherent with reflections and depends on the source, the spectral band of seismic signal and ground-roll always overlap, which can be clearly seen in the spectral domain. So, separating them in time or frequency domain commonly causes waveform distortions and information missing due to cut-off effects. Therefore, the combination of these factors leads to search for alternative filtering methods or processes. We applied the conventional Wiener-Levinson algorithm to extract ground-roll from the seismic data. Then, subtracting it from the seismic data arithmetically performs the ground-roll suppression. To set up the algorithm, linear or nonlinear sweep signals are used as reference noise trace. The frequencies needed in creating a reference noise trace using analytical sweep signal can be approximately estimated in spectral domain. The application of the proposed method based on redesigning of Wiener-Levinson algorithm differs from the usual frequency filtering techniques since the ground-roll is suppressed without cutting signal spectrum. The method is firstly tested on synthetics and then is applied to a shot data from the field. The result obtained from both synthetics and field data show that the,ground-roll suppression in this way causes no waveform distortion and no reduction of frequency bandwidth of the data. (C) 2003 Elsevier B.V. All rights reserved.