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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。
The filters in the conventional multi-pass matching filtering method are physically implementable causal filters that can only delay the filtering of seismic signal sequences. In this paper, we propose a non-causal multi-channel output Wiener filtering method based on the least square method. By comparing the differences between the causal and non-causal filtering methods in multi-pass matching subtraction, we verify the effectiveness of the proposed method. The model data lags behind the actual data. Moreover, the problem of increasing the number of events in the matching time window with increasing offset is solved by defining the sliding time window whose length varies with offset and layer velocity. And the above method is applied to the improved multi-channel subtraction multi-channel subtraction method, the use of Pluto1.5 theoretical simulation data, non-causal filter and variable length window matching subtraction method was tested, obtained Good removal of multiple seismic data.