| 基于独立分量分析的多次波自适应相减技术 |
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| 引用本文： | 陆文凯,骆毅,赵波,钱忠平.基于独立分量分析的多次波自适应相减技术[J].地球物理学报,2004,47(5):0-891. |
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| 作者姓名： | 陆文凯 骆毅 赵波 钱忠平 |
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| 作者单位： | 清华大学自动化系,智能技术与系统国家重点实验室,北京,100084;Saudi Aramco,Dhahran,Saudi Arabia;中国石油天然气集团公司北京地球软件有限公司,北京,100080 |
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| 基金项目： | 中国石油天然气集团公司创新基金，国家科技攻关 (十五 ) ( 2 0 0 1BA60 5A0 9)，国家教育部留学回国人员科研启动基金资助项目 |
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| 摘 要： | 针对多次波自适应相减这个关键问题，文中首次提出利用独立分量分析技术来实现多次波和一次波的分离（简称ICAAMS）. 现有的多次波自适应相减技术大都是采用输出信号（一次波）能量最小准则，基于二阶统计量的技术. 本文提出的ICAAMS采用了输出信号非高斯性最大准则，并利用高阶统计量来表征非高斯性. 简单的褶积模型和复杂的有限差分模型资料处理结果表明, 本文提出的方法可以有效地分离一次波和多次波.
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| 关 键 词： | 地震勘探 多次波压制 独立分量分析 高阶统计量 二阶统计量 非高斯性 |
| 文章编号： | 0001-5733(2004)05-0886-06 |
| 收稿时间： | 2003-7-21 |
| 修稿时间： | 2004-4-12 |
B. Adaptive multiple wave subtraction using independent component analysis |
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| LU Wen-Kai LUO Yi ZHAO Bo QIAN Zhong-Ping,State Key Laboratory of Intelligent Technology and Systems.B. Adaptive multiple wave subtraction using independent component analysis[J].Chinese Journal of Geophysics,2004,47(5):0-891. |
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| Authors: | LU Wen-Kai LUO Yi ZHAO Bo QIAN Zhong-Ping State Key Laboratory of Intelligent Technology and Systems |
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| Institution: | 1.State Key Laboratory of Intelligent Technology and Systems, Department of Automation, Tsinghua University, Beijing 100084, China 2 Saudi Aramco, Dhahran, Saudi Arabia 3 Exploration Software Co. Ltd., China National Petroluem Corporation, Beijing 100080, China |
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| Abstract: | We present a new adaptive multiple subtraction algorithm based on independent component analysis (ICAAMS). The output energy minimum criterion, which is adopted by almost all the existing adaptive multiple subtraction methods, is based on second order statistics. The method proposed in this paper maximizes the nongaussianity of the output signal, which can be measured by higher order statistics. The method has been applied to several synthetic datasets generated by simple convolution and finite-difference model (FDM) technique, and the results show that our method can separate primary wave and multiple wave effectively. |
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| Keywords: | Seismic exploration Multiple attenuation Independent component analysis (ICA) Higher order statistics (HOS) Second order statistics (SOS) Nongaussianity |
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