Common reflection surface stack based on parameter searching by PSO
SUN Xiaodong1,2, JIA Yanrui1, LI Zhenchun1, SONG Yu1
1. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China;
2. Laboratory for Marine Mineral Resource, Qing-dao National Laboratory for Marine Science and Technology, Qingdao, Shandong 266071, China
Abstract：The common reflection surface (CRS) is based on the theory of the Fresnel zone,the signal-to-noise ratio (SNR) can be maximized while maintaining the resolution.CRS stack effect depends on the wavefield kinematic parameters.Therefore,the search for these parameters is particularly important.If using point-by-point calculation or violent search to find the best parameters,the calculation is too difficult to be achieved.Some local optimization algorithms can significantly reduce the amount of computation,but its effectiveness is limited by initial parameters.This thesis attempts to use particle swarm optimization (PSO) to achieve the search of 2D CRS parameters.So the efficiency of CRS parameter search is improved and the calculation time is greatly shortened.Tests on model and real data verify the validity of the proposed method.
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SUN Xiaodong, JIA Yanrui, LI Zhenchun, SONG Yu. Common reflection surface stack based on parameter searching by PSO. Oil Geophysical Prospecting, 2019, 54(4): 782-786.
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