吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 410-413.

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Based on fuzzy multi-level time-frequency peak filtering attenuation of seismic random noise

LIN Hong-bo, LI Yue, ZHANG Chao, MA Hai-tao   

  1. College of Communication Engineering, Jilin University, Changchun 130021, China
  • Received:2012-06-04 Published:2013-06-01

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Abstract:

Aiming at solving the problem that the time-frequency peak filtering(TFPF) hardly recover the subtle structures of the seismic events as attenuating random noise,different windowing lengths need to be set respectively for signal and noise.A fuzzy time-frequency peak filtering (FTFPF) algorithm was proposed using multiple time-windowing lengths.The new method used a fuzzy determination threshold to identify the membership of each sample to the noise segment and signal segment in seismic data.Then the multi-level windowing lengths were set for FTFPF according to the noise intensity in noise segments and frequency characteristics of signal in signal segments.The longer windowing length was used for noisy segments to remove random noise effectively,and the shorter windowing lengths were used in signal segments to preserve the details of the signal.The FTFPF was applied to synthetic records and common-shot point record,the model analysis indicates that the fuzzy discrimination can identify the signal and noise correctly.The filtered result by FTFPF has better ability to remove noise and preserve signal than that by TFPF.The signal-to-noise ratio (SNR) of the seismic image has been improved.

Key words: fuzzy, time-frequency peak filtering, windowing length, random noise, seismic image

CLC Number: 

  • TP391

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