Swell Noise Suppression by Wiener Prediction Filter

DONDURUR D., KARSLI H.

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

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 80
  • Basım Tarihi: 2012
  • Doi Numarası: 10.1016/j.jappgeo.2012.02.001
  • Dergi Adı: JOURNAL OF APPLIED GEOPHYSICS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.91-100
  • Anahtar Kelimeler: Low frequency components, Swell Noise, Data processing, Marine Seismics, Wiener prediction filter, SEISMIC DATA, DECONVOLUTION, SEPARATION, ALGORITHM, SIGNAL
  • Karadeniz Teknik Üniversitesi Adresli: Hayır

Özet

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.