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  • 标题:Blind Deconvolution of Seismic Data Based on the Spearman’s Rho
  • 本地全文:下载
  • 作者:Rongrong Wang , Fei Xu , Xiaobo Zhou
  • 期刊名称:Journal of Computer and Communications
  • 印刷版ISSN:2327-5219
  • 电子版ISSN:2327-5227
  • 出版年度:2015
  • 卷号:03
  • 期号:03
  • 页码:20-26
  • DOI:10.4236/jcc.2015.33004
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要: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.
  • 关键词:Spearman’s Rho; Mutual Information; Neidell’s Wavelet; Seismic Blind Deconvolution; Inverse Filter
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