1. Geophysics and Oil Resource Institute,Yangtze University,Wuhan 430100,China 2. Key Laboratory of Exploration Technologies for Oil and Gas Resources,Ministry of Education,Yangtze University,Wuhan 430100,China 3. College of Mining Engineering,Taiyuan University of Technology,Taiyuan 030024,China 4. Tianjin Branch of CNOOC Ltd.,Tianjin 300452,China
Compared with single source acquisition method,simultaneous source acquisition technology can greatly increase field acquisition efficiency,and the separation of blended data is the key.When pseudo-segregated records of mixed simultaneous source data are sorted from common gathers to other gathers,the seismic signals of secondary sources show random noise,which can be separated by iterative denoising method.In this paper,the traditional iterative prediction denoising method is improved by adding the last separation result before each denoising to increase the stability of the iterative denoising,and combining with Multidirectional Vector Median Filtering to remove random noise.Through the separation test of simultaneous source mixed data of theoretical model,it is shown that the proposed method has better separation effect and is more robust,and can be operated under the condition of different parameters and maintain certain stability.Finally,the method is applied to the separation of Simultaneous Source Marine Line data,and a better separation result can be obtained.The method has practical application value.
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