Surface-related multiple adaptive subtraction method based on L1/L2 norm

被引：0

作者：

Jing, Hongliang ^{[1
,2
]}

Shi, Ying ^{[1
,3
,4
]}

Li, Ying ^{[1
]}

Song, Yuandong ^{[1
]}

机构：

[1] School of Earth Science, Northeast Petroleum University, Daqing,Heilongjiang,163318, China

[2] Tuha Division, BGP Inc., CNPC, Hami,Xinjiang,839009, China

[3] State Key Laboratory of Coastal and Offshore Engineering, Dalian University of Technology, Dalian,Liaoning,116024, China

[4] The Team of Fault Deformation, Sealing, and Fluid Migration, Science and Technology Innovation Group in Heilongjiang, Daqing,Heilongjiang,163318, China

来源：

Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting | 2015年 / 50卷 / 04期

关键词：

Seismic response - Seismic waves;

D O I：

10.13810/j.cnki.issn.1000-7210.2015.04.007

中图分类号：

学科分类号：

摘要：

We propose in this paper L1/L2 norm adaptive subtraction method to suppress surface-related multiples (SRME), and introduce at the same time the GPU parallel acceleration. Taking advantages of the two methods, L1/L2 norm adaptive subtraction method eases effectively problems caused by their restrictive conditions, and it obtains a convergent Wiener filter in a short time. At the same time, this method can better fit multiple models and real multiples. Compared with the L1-norm method, the proposed method does not need assumptions of L2 norm and improves greatly the calculation efficiency. Tests on theoretical models and real marine seismic data show that the adaptive subtraction method based on L1/L2 norm and parallel GPU acceleration can effectively suppress surface-related multiples on seismic data. ©, 2015, Science Press. All right reserved.

引用

页码：619 / 625

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