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| Denoising by correlative stacking via L2 norm |
| Zhang Henglei1,2, Liu Tianyou1,2, Hu Xiang-yun1 |
1. Institute of Geophysics and Geomatics,China University of Geosciences(Wuhan),Wuhan 430074,China;
2. Key Laboratory of Tectonics and Petroleum Resources(China University of Geosciences),Ministry of Education,Wuhan 430074,China |
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Abstract This paper concentrates on a method of correlative stacking to suppress seismic random noise.In examining the basis of the traditional coherence algorithm,we proposed a denoising method by weighted stacking via neighborhood correlation(WS-NC),namely using L2 norm which also called Euclidean distance to estimate the similarity between two neighborhoods.Then we apply the Gauss function on Euclid distance as the weighting coefficients when stacking neighborhood points.So the random noise can be identified from region and suppressed in the local,while the amplitude of effective reflected wave can be well maintained.Applications on both synthetic data and actual seismic data show that the new method eliminates the noise portion more efficiently and retains a greater amount of geologic data,and it may be an effective method for seismic data with low S/N ratio.
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Received: 23 August 2010
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2012, Vol. 47 
