Surface-related multiple adaptive subtraction method based on L1/L2 norm
Jing Hongliang1,2, Shi Ying1,3,4, Li Ying1, Song Yuandong1
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
Abstract：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.
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