Liu Qiang1, Han Li-Guo1, Chen Jing-Yi2, Chen Xue1, and Zhang Xian-Na1
1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China.
2. College of Engineering and Natural Science, University of Tulsa, Oklahoma 74104, America.
Abstract The frequencies of sources involved in conventional blended acquisition are the same. Each source transmits the full frequency band, and in general, significant effort is required to successfully produce and operate wideband sources. To solve this problem, inhomogeneous blended or decentralized blended acquisition is used, in which the dominant frequency and bandwidth of the source units in a blended array are not equal. When the inhomogeneous and conventional blending acquisitions adopt the same geometry and separation methods, the former has low signal-to-blending noise ratio. Therefore, we present a new separation method for such blended acquisition based on the synchrosqueezed wavelet transform. The proposed method offers better separation quality and decreases the computation time to approximately 1/3.
The research was financially supported by the Major Program National 863 Program of China (No. 2014AA06A605) and National Nature Science Foundation of China (No. 41374115).
Cite this article:
Liu Qiang,Han Li-Guo,Chen Jing-Yi et al. Separation of inhomogeneous blended seismic data[J]. APPLIED GEOPHYSICS, 2015, 12(3): 327-333.
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2015, Vol. 12 
