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.