›› 2016, Vol. 37 ›› Issue (4): 1-1.doi: 10.7657/XJPG20160416

   

Method for Wavelet Function Selection During SurfaceWave Attenuation Processing

YANG Shunliaoa, GUI Zhixianb, ZHANG Zhengbinga   

  1. (Yangtze University, a.School of Electronics and Information , Jingzhou, Hubei 434023, China;b.School of Geophysics and Petroleum Resources, Wuhan, Hubei 430100, China)
  • Online:2019-01-01 Published:1905-07-15

Abstract: Based on the discussions on the principles of surface wave attenuation processing in wavelet domain, it is concluded that good separability of wavelet decomposition result is needed during surface wave attenuation processing. Because support length decides local features and vanishing moment decides the energy concentration degree of low?frequency and low?wave?number components, a symmetrical wavelet function principle that short support length and high vanishing moment should be chosen is determined, and Symmlet wavelet function is considered as the optimal wavelet. Surface?wave attenuation degree and influence of reflection wave are analyzed regarding surfacewave attenuation processing results obtained from actual seismic data and synthetic seismogram, which validates the method for wavelet function selection

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