期刊
APPLIED GEOPHYSICS
卷 7, 期 3, 页码 229-238出版社
SPRINGER
DOI: 10.1007/s11770-010-0246-5
关键词
Irregular missing traces; seismic data reconstruction; POCS; threshold model
资金
- National 863 Program [2006AA 09A 102-09]
- National Science and Technology of Major Projects [2008ZX0 5025-001-001]
Irregular seismic data causes problems with multi-trace processing algorithms and degrades processing quality. We introduce the Projection onto Convex Sets (POCS) based image restoration method into the seismic data reconstruction field to interpolate irregularly missing traces. For entire dead traces, we transfer the POCS iteration reconstruction process from the time to frequency domain to save computational cost because forward and reverse Fourier time transforms are not needed. In each iteration, the selection threshold parameter is important for reconstruction efficiency. In this paper, we designed two types of threshold models to reconstruct irregularly missing seismic data.. The experimental results show that an exponential threshold can greatly reduce iterations and improve reconstruction efficiency compared to a linear threshold for the same reconstruction result. We also analyze the anti-noise and anti-alias ability of the POCS reconstruction method. Finally, theoretical model tests and real data examples indicate that the proposed method is efficient and applicable.
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