Journal of Computer and Communications
Volume 3, Issue 3 (March 2015)
ISSN Print: 2327-5219 ISSN Online: 2327-5227
Google-based Impact Factor: 1.12 Citations
Blind Deconvolution of Seismic Data Based on the Spearman’s Rho ()
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ABSTRACT
In this paper, we propose a novel seismic blind deconvolution approach based on the Spearman’s rho in the case of band-limited seismic data with a low dominant frequency and short data records. The Spearman’s rho is a measure of the dependence between two continuous random variables without the influence of the marginal distributions, by which a new criterion for blind deconvolution is constructed. The optimization program for new criterion of blind deconvolution is performed by applying Neidell’s wavelet model to the inverse filter. The noise-free and noisy synthetic data, onshore seismic trace in the Ordos Basin, and offshore stacked section in the Bohai Bay Basin examples show good results of the method.
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