Blind Deconvolution of Seismic Data Based on the Spearman’s Rho


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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Wang, R. , Xu, F. and Zhou, X. (2015) Blind Deconvolution of Seismic Data Based on the Spearman’s Rho. Journal of Computer and Communications, 3, 20-26. doi: 10.4236/jcc.2015.33004.

Conflicts of Interest

The authors declare no conflicts of interest.


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