Utilizing the method of wave atom decomposition coefficient with adaptive Wiener filtering to suppress seismic random noise
LIU Yanping1,2, ZHANG Nailu1,2, WU Jie1,2, YAN Zhengguo1,2, GAO Jianshen1,2
1. College of Electronical Engineering, Xi'an Shi-you University, Xi'an, Shaanxi 710065, China; 2. The Key Laboratory of Oil and Gas Well Mea-surement and Control Technology in Shaanxi, Xi'an, Shaanxi 710065, China
Abstract：Random noise is a common background noise in seismic data, which can produce nonnegligible influence on valid signals, and it is necessary to develop better methods to eliminate the random noise. For this purpose, this paper proposed a method that applied adaptive Wiener filtering to the coefficients obtained by wave atom decomposition and then processed the filtered coefficients through wave atom reconstruction to suppress random noise and highlight valid signals. Based on synthetic seismic records, contrast experiments and result analysis were performed among the filtering methods, including SVD threshold, 2D multi-scale wavelet decomposition threshold, wave atom decomposition threshold, and the proposed me-thod. It demonstrates that the proposed method can suppress random noise while preserving valid signals, obtaining clearer reflection events with better continuity. Finally, this method was adop-ted to filter a field seismic record, which was then compared with the filtered records by the above three thresholds and time-frequency peak filtering. It verifies that the proposed method is superior in terms of random noise suppression and valid signal preservation, with strong practicality.
刘彦萍, 张乃禄, 仵杰, 严正国, 高建申. 利用波原子分解系数自适应Wiener滤波方法压制地震数据随机噪声[J]. 石油地球物理勘探, 2021, 56(5): 1022-1029,1047.
LIU Yanping, ZHANG Nailu, WU Jie, YAN Zhengguo, GAO Jianshen. Utilizing the method of wave atom decomposition coefficient with adaptive Wiener filtering to suppress seismic random noise. Oil Geophysical Prospecting, 2021, 56(5): 1022-1029,1047.
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