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Author(s): |
Hui Chen, Key Lab of Geomathematics of Sichuan Province, Cheng Du University of Technology, Chengdu, china/Key Lab of Earth-exploration and Information Techniques of Education Ministry of China, Chengdu, China
Luming Li, Key Lab of Earth-exploration and Information Techniques of Education Ministry of China, Chengdu, China
Shengxian Luo, Key Lab of Earth-exploration and Information Techniques of Education Ministry of China, Chengdu, China
Yali Liu, College of Computer Science and Technology, Xuzhou Normal University, Xuzhou, China |
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Abstract: |
Seismic migration imaging technology can effectively solve the imaging of complex surface area or complex reservoir; however, its application and promotion are affected by the huge amount of computation. Although the high-performance PC cluster technology has upgraded computational efficiency greatly, but increasing the number of CPU nodes will lead to high cost of production，high cluster heat productivity and seriously decline of computing performance. For all above reasons, the paper realizes the pre-stack depth migration algorithms, proposes the multi-level parallel migration algorithm because of kernel features in nodes, based on MPI, upgrades CPU calculating performance of the single node, and improves the parallel efficiency fully.
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