Lithologic Reservoirs ›› 2021, Vol. 33 ›› Issue (4): 85-92.doi: 10.12108/yxyqc.20210409

• EXPLORATION TECHNOLOGY • Previous Articles     Next Articles

Self-adaptive gain-limit inverse Q filtering method based on SNR in time-frequency domain

ZHAO Yan1,2, MAO Ningbo1,2, CHEN Xu3   

  1. 1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan 430100, China;
    2. School of Geophysics and Oil Resources, Yangtze University, Wuhan 430100, China;
    3. Institute of Mud Logging Technology and Engineering, Yangtze University, Jingzhou 434023, Hubei, China
  • Received:2020-07-06 Revised:2020-11-22 Online:2021-08-01 Published:2021-08-06

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Abstract: Self-adaptive gain-limit inverse Q filtering method considers the effective frequency band of seismic records,and balances the compensation of effective amplitude and the suppression of invalid noise energy. In order to suppress the noise and improve the SNR（signal-to-noise ratio）of seismic data after inverse Q filtering, based on the self-adaptive gain-limited inverse Q filtering method and signal-to-noise ratio in time-frequency domain,a self-adaptive gain-limit inverse Q filtering method based on SNR in time-frequency domain was proposed. Firstly,based on the relevant theory,the statistic of signal and noise was extracted from the adjacent seismic traces of the seismic records,and the SNR in time-frequency domain was estimated in a multi-channel average manner. Then,the cut-off frequency of the effective frequency band was determined according to the threshold of SNR. Finally,the gain-limit of amplitude compensation to the cut-off frequency of the effective frequency band was adapted,and amplitude compensation of the time-varying gain-limit for seismic records at different moments was performed. The application of theoretical model data and real seismic data shows that compared with the conventional stable inverse Q filtering method,the proposed method can effectively compensate the amplitude energy of seismic records,suppress noise outside the effective frequency band,and improve the SNR and resolution of seismic records after inverse Q filtering.

Key words: inverse Q filtering, SNR in time-frequency domain, self-adaptive gain-limit, effective frequency band, high resolution processing, amplitude compensation, noise attenuation

CLC Number: 

  • P631.4
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