Adaptive multiple subtraction based on a 3D mat-ching filter and pseudo seismic data algorithm
LI Zhongxiao1, GAO Haotian1, CHEN Xinze1, LI Yong-qiang2, LI Zhenchun2
1. School of Electronic Information, Qingdao University, Qingdao, Shandong 266071, China; 2. School of Geosciences, China University of Petroleum(East China), Qingdao, Shandong 266580, China
Abstract：Adaptive multiple subtraction is an important step for suppressing multiples by multiple prediction and subtraction.A 3D matching filter is proposed over a 2D matching filter to reduce residual multiples by combining with several gathers of the predicted multiples to match with original data.To avoid possible primary distortion,the same 3D matching filter is used to fit several original gathers.In addition,we introduce the pseudo seismic data algorithm to solve the optimization problem with the Huber norm minimization constraint on primaries.Without assuming the orthogonality of primaries and multiples,the new method can separate primaries from multiples effectively.During iterating,the pseudo seismic data algorithm only needs to conduct matrix decomposition with Cholesky factorization once,and the computational efficiency is high.Synthetic and field data have proved that the new method can better preserve primaries and remove multiples than a 3D matching filter based on minimization of primary energy and a 2D matching filter based on pseudo seismic data algorithm.
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LI Zhongxiao, GAO Haotian, CHEN Xinze, LI Yong-qiang, LI Zhenchun. Adaptive multiple subtraction based on a 3D mat-ching filter and pseudo seismic data algorithm. Oil Geophysical Prospecting, 2020, 55(3): 530-540.
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