世界地质 2017, 36(2) 609-615 DOI:   10.3969/j.issn.1004-5589.2017.02.028  ISSN: 1004-5589 CN: 22-1111/P

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本文关键词相关文章
F-K滤波
Curvelet-中值滤波
炮分离
混合采集
本文作者相关文章
PubMed
基于F-K域和Curvelet-中值滤波联合去噪的混采数据分离方法
李宇1, 韩立国1,2, 叶林1, 刘强3
1. 吉林大学地球探测科学与技术学院, 长春 130026;
2. 国土资源部应用地球物理重点实验室, 长春 130026;
3. 中煤科工集团西安研究院有限公司, 西安 710077
摘要

由于炮分离过程会不可避免地损失部分有效信息,为解决这一问题,笔者建立模型试验,将混采数据转至频率域进行F-K滤波预处理,在保护地震同相轴的同时压制大部分混合噪声;并变换回时间域共偏移距道集进行小时窗中值滤波,同时设计迭代公式在共检波点道集进行Curvelet阈值迭代去噪;通过不断优化得到最后分离结果。模拟数据和实际数据处理结果证明:经本文方法分离后的单震源记录清晰,具有较好的实际应用价值。

关键词 F-K滤波   Curvelet-中值滤波   炮分离   混合采集  
Blended acquisition data separation method based on F-K domain and Curvelet-median filter joint denoising
LI Yu1, HAN Li-guo1,2, YE Lin1, LIU Qiang3
1. College of Geo-exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Key Laboratory of Applied Geophysics, Ministry of Land and Resources, Changchun 130026, China;
3. CCTEG Xi'an Research Institute, Xi'an 710077, China
Abstract:

Shot separation process will inevitably lose some useful information, in order to solve this problem, the authors set up model experiments, which transformed blended acquisition data into frequency domain common offset gathers for F-K filter pre-processing, and suppressed most blended noises in the process of preserving seismic event. The authors then transformed the data to time domain common offset gathers for small window median filter, and designed iteration formula to undertake Curvelet threshold iteration denoising for common receiver point gathers. Separation results were finally obtained by constant iterations. Both simulated synthetic and field data certify that the deblended single shot record processed by this method is clear, and has good practical application value.

Keywords: F-K filter   Curvelet-median filter   deblending   blended acquisition  
收稿日期 2016-07-18 修回日期 2017-01-17 网络版发布日期  
DOI: 10.3969/j.issn.1004-5589.2017.02.028
基金项目:

国家自然科学基金项目(41304086)及国家自然科学基金项目(41374115)联合资助.

通讯作者: 韩立国(1961),男,教授,博士生导师,主要从事复杂地震波场正反演与成像,地震数据处理解释工作.E-mail:hanliguo@jlu.edu.cn
作者简介:
作者Email: hanliguo@jlu.edu.cn

参考文献:

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