Seismic data interpolation with anti-aliasing POCS method and its application in seismic migration imaging
Chen Xiaochun1, Chen Hui1,2, Yu Qin3, Long Lin1
1. Chengdu University of Technology(CDUT), Chengdu, Sichuan 610066, China;
2. Sichuan Key Laboratory of Geomathematics, Chengdu, Sichuan 610066, China;
3. Exploration & Production Research Institute, Southwest Oil and Gas Branch Co., SINOPEC, Chengdu, Sichuan 610041, China
Abstract：Some factors in field seismic data acquisition such as topography and obstacles cause often missing traces,which will greatly affect the subsequent processing and interpretation.To solve this kind of issues,we propose in this paper an anti-aliasing project onto convex sets (POCS) regularization method.This method utilizes the low-frequency component in the f-k domain to predict un-aliasing high-frequency component so that it can eliminate aliasing and restore missing seismic traces.Our experiment on Marmousi model shows that the proposed anti-aliasing POCS method can significantly improve migration imaging quality.
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