Blind Deconvolution of Seismic Data Based on the Spearman’s Rho ()
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.
Share and Cite:
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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