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《》 2005-01
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Applied Techniques ForSuppressing Noise in Seismic Data Processing

YUAN Yi-jun~1, NIU Bin-hua~1, WANG Huan-di~1,Liu A-xiang~2(1. China University of Geosciences, Beijing 100083, China; 2.Geophysical Exploration Company Huabei oil field, Renqiu HB,062552,China)  
In this paper,we discuss the current methods of improving the signal-to-noise ratio and its applying techniques. First, we analyze the types of noise which commonly exist in field seismic data. For irregular noise in seismograms, we suggest using the attenuation method in the f-x domain and polynomial fitting;for regular noise, DIP and F-K filtering are more effective. Second, we emphasize the importance of choosing parameters of suppressing noise. Finally, we shed light on the cophasal stacking technique is also an effective method which can enhance signal-to-noise ratio in seismic data. In a word, according to the types of noise, we adopt corresponding methods to suppress them. Seismic data processing shows that the methods we advocated are feasible and effective.
【Fund】: 国家自然科学基金资助项目(49974028)
【CateGory Index】: P631.443
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