NDLI: Irregular seismic data reconstruction based on exponential threshold model of POCS method

Content Provider	Springer Nature Link
Author	Gao, Jian Jun Chen, Xiao Hong Li, Jing Ye Liu, Guo Chang Ma, Jian
Copyright Year	2010
Abstract	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 antinoise 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.
Starting Page	229
Ending Page	238
Page Count	10
File Format	PDF
ISSN	16727975
Journal	Applied Geophysics
Volume Number	7
Issue Number	3
e-ISSN	19930658
Language	English
Publisher	Chinese Geophysical Society
Publisher Date	2010-10-20
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Irregular missing traces seismic data reconstruction POCS threshold model Applied Earth Sciences Geophysics/Geodesy
Content Type	Text
Resource Type	Article
Subject	Geophysics

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