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

• 作者: Fei Xu Rongrong Wang Xiaobo Zhou
• 来源期刊: 电脑和通信(英文)
• 学科: 工学
• 关键词: Spearman’s RHO Mutual Information Neidell’s WAVELET Seismic BLIND DECONVOLUTION INVERSE Filter
• 年，卷（期）: 2015,（3）
• 页码范围: 20-26
• 页数: 7页
• 分类号: TP39

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.