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has been cited by the following article:

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

  AUTHORS: Rongrong Wang, Fei Xu, Xiaobo Zhou

  KEYWORDS: Spearman’s Rho, Mutual Information, Neidell’s Wavelet, Seismic Blind Deconvolution, Inverse Filter

  JOURNAL NAME: Journal of Computer and Communications, Vol.3 No.3, March 17, 2015

  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.