Denoising by Correlative Stacking Via L2 Norm
详细信息
- 责任者：Zhang Henglei (Institute of Geophysics and Geomatics ; China University of Geosciences ; Wuhan 430074 ; China) ; Liu Tianyou
- 刊名：Oil Geophysical Prospecting
- 出版年：2012
- 卷期：47(1)
- 关键词：随钻测量 ; measurement while drilling ; 地震勘探 ; seismic exploration
- 页码：p.37-45
- 图表：12 illus., 1 table, 8 refs.
- 分类号：1600
- issnNo：ISSN1000-7210
- isbnNo：CN13-1095/TE
摘要
This paper concentrates on a method of correlative stacking to suppress seismic random noise. In examining the basis of the traditional coherence algorithm, the authors proposed a denoising method by weighted stacking via neighborhood correlation (WS-NC), namely using L2 norm which also called Euclidean distance to estimate the similarity between two neighborhoods. Then, the authors apply the Gauss function on Euclid distance as the weighting coefficients when stacking neighborhood points. So the random noise can be identified from region and suppressed in the local, while the amplitude of effective reflected wave can be well maintained. Applications on both synthetic data and actual seismic data show that the new method eliminates the noise portion more efficiently and retains a greater amount of geologic data, and it may be an effective method for seismic data with low S/N ratio.