DocumentCode :
3020581
Title :
Cubic-spline reconstruction of irregular seismic data using linear time shift
Author :
Wang, Shu-qin ; Zhao, Hong-shuai
Author_Institution :
Inst. of Inf. Eng., Minzu Univ. of China, Beijing, China
fYear :
2009
fDate :
12-15 July 2009
Firstpage :
448
Lastpage :
453
Abstract :
Time shift technique and cubic spline interpolation are combined to reconstruct the irregularly sampled, aliased seismic data. The spatial aliasing is reduced by linear time shift, and the irregular sampling is handled by cubic spline interpolation. The method is applicable to both uniform sampling with missing traces and non-uniform sampling. It can handle linear, nonlinear and interfered events. The underling assumption is that the dip range of all events, within the whole data set or spatiotemporal window, is not too large. This method is feasible in practical applications since field data usually satisfy this assumption. As a one-pass and easily parallelized method, this technique has attractive computational cost and memory demand. For 3D seismic data, only 2D interpolation along spatial direction is required for each time slice. This shows great potential on huge volume data, especially for 3D marine data. Experiments on both synthetic and field data demonstrate the capability of the proposed method.
Keywords :
geophysical signal processing; seismology; signal reconstruction; signal sampling; splines (mathematics); cubic spline interpolation; cubic-spline reconstruction; irregular sampling; irregular seismic data; linear time shift; spatial aliasing; spatiotemporal window; time shift technique; Geology; Information analysis; Interpolation; Pattern analysis; Pattern recognition; Reconstruction algorithms; Sampling methods; Spatiotemporal phenomena; Spline; Wavelet analysis; Cubic spline; Interpolation; Irregular sampling; Linear time shift; Spatial aliasing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2009. ICWAPR 2009. International Conference on
Conference_Location :
Baoding
Print_ISBN :
978-1-4244-3728-3
Electronic_ISBN :
978-1-4244-3729-0
Type :
conf
DOI :
10.1109/ICWAPR.2009.5207468
Filename :
5207468
Link To Document :
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