1. Institute of Geophysics and Geomatics, China University of Geosciences (Wuhan), Wuhan, Hubei 430074, China;
2. Key Laboratory of Exploration Technologies for oil and Gas Resources, Ministry of Education, Yangtze University, Wuhan, Hubei 430010, China;
3. Key Laboratory of Tectonics and Petroleum Resources Ministry of Education, China University of Geosciences (Wuhan), Wuhan, Hubei 430074, China
Abstract：Multi-source simultaneous acquisition improves greatly marine seismic operation efficiency. However the blended wavefield separation is a key factor for good imaging of this kind of data. When pseudo blend records are sorted from common shot gathers to other domains, aliasing of the secondary source is transformed into random distribution noise. In this paper, we propose multi-source wavefield separation based an adaptive iteration multi-level median filtering. Small window size of the median filter can extract more details of the wanted wavefield. Real blended data tests show that after blended wavefield separation by the proposed approach, single shot records of every source is clear and their frequency spectrums are similar, which proves the validity of the proposed approach.
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