Suppression of strong random noise in seismic data by using time-frequency peak filtering  

作　　者：LI Yue YANG BaoJun LIN HongBo MA HaiTao NIE PengFei 

机构地区：[1]Department of Information Engineering, Jilin University [2]Department of Geophysics, Jilin University [3]Qingdao Institute of Marine Geology

出　　处：《Science China Earth Sciences》2013年第7期1200-1208,共9页中国科学（地球科学英文版）

基　　金：supported by the National Natural Science Foundation of China (Grant Nos.40574051,41130421,40930418 & 40974064);the National Special Project of Science and Technology of China (Grant No.Sinoprobe-03)

摘　　要：Time-frequency peak filtering (TFPF) is highly efficient in suppressing random noise in seismic data. Although the hypothesis of stationary Gaussian white noise cannot be fulfilled in practical seismic data, TFPF can effectively suppress white and colored random noise with different intensities, as can be theoretically demonstrated by detecting such noise in synthetic seismic data. However, a "zero-drift" effect is observed in the filtered signal and is independent of the average power and variance of the random noise, but related to its mean value. Furthermore, we consider the situation where the local linearization of the seismic data cannot be satisfied absolutely and study the "distortion" characteristics of the filtered signal using TFPF on a triangular wave. We found that over-compensation is possible in the frequency band for the triangular wave. In addition, it is nonsymmetrical and has a relationship to the time-varying curvature of the seismic wavelet. The results also present an improved approach for TFPF.Time-frequency peak filtering （TFPF） is highly efficient in suppressing random noise in seismic data. Although the hypothesis of stationary Gaussian white noise cannot be fulfilled in practical seismic data, TFPF can effectively suppress white and colored random noise with different intensities, as can be theoretically demonstrated by detecting such noise in synthetic seismic data. However, a ＂zero-drift＂ effect is observed in the filtered signal and is independent of the average power and variance of the random noise, but related to its mean value. Furthermore, we consider the situation where the local linearization of the seismic data cannot be satisfied absolutely and study the ＂distortion＂ characteristics of the filtered signal using TFPF on a triangular wave. We found that over-compensation is possible in the frequency band for the triangular wave. In addition, it is nonsymmetrical and has a relationship to the time-varying curvature of the seismic wavelet. The results also present an improved approach for TFPF.

关 键 词：strong random noise time-frequency peak filtering zero-drift local linearization 

分 类 号：TN713[电子电信—电路与系统] P631.443[天文地球—地质矿产勘探]