| 基于非因果滤波器的多次波匹配相减方法(英文) |
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| 引用本文： | 刘华锋,陈小宏,宋家文,刘国昌.基于非因果滤波器的多次波匹配相减方法(英文)[J].应用地球物理,2011,8(1):27-35. |
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| 作者姓名： | 刘华锋 陈小宏 宋家文 刘国昌 |
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| 作者单位： | 中国石油大学(北京)CNPC物探重点实验室;中国石油大学(北京)油气资源与探测国家重点实验室; |
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| 基金项目： | supported by the National 863 Program (Grant No. 2006AA09A102-09); the National 973 Program (GrantNo. 2007CB209606) |
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| 摘 要： | 在常规多道匹配滤波方法中的滤波器是物理可实现的因果滤波器,只能实现地震信号序列延迟的滤波。本文提出了最小二乘意义下的非因果多道输入多道输出维纳滤波方法,通过比较多道匹配相减中因果和非因果滤波方法之间的差别,验证了方法的有效性,解决了模型数据滞后于实际数据的情况。而且,通过定义长度随偏移距和层速度变化的滑动时窗,解决了匹配时窗内同相轴数量随偏移距增大而增加的问题。并将上述方法应用到改进的扩展多道匹配相减去除多次波的方法中,利用Pluto1.5理论模拟数据,对非因果滤波器和变长度时窗的匹配相减方法进行测试,取得了很好的去除多次波后的地震数据。
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| 关 键 词： | 多次波 匹配相减 非因果褶积算子 变长度时窗 |
Multiple subtraction method based on a non-causal matching filter |
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| Hua-Feng Liu,Xiao-Hong Chen,Jia-Wen Song,Guo-Chang Liu.Multiple subtraction method based on a non-causal matching filter[J].Applied Geophysics,2011,8(1):27-35. |
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| Authors: | Hua-Feng Liu Xiao-Hong Chen Jia-Wen Song Guo-Chang Liu |
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| Institution: | Liu Hua-Feng 1,2,Chen Xiao-Hong 1,Song Jia-Wen 1,and Liu Guo-Chang 1,21. CNPC Key Lab of Geophysical Exploration,China University of Petroleum (Beijing),Beijing 102249,China. 2. State Key Laboratory of Petroleum Resource and Prospecting,China. |
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| Abstract: | The filter operator used in normal multichannel matching filter is physically realizable. This filter operator only delays
seismic data in the filtering process. A noncausal multichannel matching filter based on a least squares criterion is proposed
to resolve the problem in which predicted multiple model data is later than real data. The differences between causal and
non-causal multichannel matching filters are compared using a synthetic shot gather, which demonstrates the validity of the
non-causal matching filter. In addition, a variable length sliding window which changes with offset and layer velocity is
proposed to solve the count of events increasing with increasing offset in a fixed length sliding window. This variable length
sliding window is also introduced into the modified and expanded multichannel matching filter. This method is applied to the
Pluto1.5 synthetic data set. The benefits of the non-causal filter operator and variable length sliding window are demonstrated
by the good multiple attenuation result. |
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| Keywords: | multiple matching subtraction non-causal convolution operator variable length window |
| 本文献已被 CNKI 万方数据 SpringerLink 等数据库收录！ |
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