Swell Noise Suppression by Wiener Prediction Filter

DONDURUR D., KARSLI H.

JOURNAL OF APPLIED GEOPHYSICS, vol.80, pp.91-100, 2012 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 80
  • Publication Date: 2012
  • Doi Number: 10.1016/j.jappgeo.2012.02.001
  • Journal Name: JOURNAL OF APPLIED GEOPHYSICS
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.91-100
  • Keywords: Low frequency components, Swell Noise, Data processing, Marine Seismics, Wiener prediction filter, SEISMIC DATA, DECONVOLUTION, SEPARATION, ALGORITHM, SIGNAL
  • Karadeniz Technical University Affiliated: No

Abstract

The conventional method to remove swell noise from raw seismic data is band-pass filtering (BPF). It ideally removes whole low frequency band of the spectral content, which results in a total loss of the amplitudes concerning the low frequency reflections from deeper reflectors, and hence lower resolution in the deeper reflection events. The procedure described here attenuates swell noise from seismic data while preserving the reflection amplitudes at low frequency band. The proposed Wiener prediction filter (WPF) method is used to estimate the swell noise embedded in the raw marine seismic data and then the estimated noise is subtracted from shots by a trace-by-trace basis. It is observed that the deeper reflections have significantly higher amplitudes and show better trace-by-trace consistency in the final migration sections obtained by the WPF application.