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-  2016 

基于同相轴优化追踪的多次波匹配衰减方法

DOI: 10.3969/j.issn.1673-5005.2016.06.005

Keywords: 多次波匹配衰减 同相轴优化追踪 短时窗FK滤波 维纳滤波 抛物线拉冬域蒙版滤波
multiple matching attenuation event optimized tracing short-time window FK filtering Wiener filtering mask filtering in parabola Radon domain

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Abstract:

提出基于同相轴优化追踪的多次波匹配衰减方法,首先利用SRME预测得到的多次波记录生成多次波速度谱,然后应用同相轴追踪技术提取多次波同相轴旅行时信息,再通过同相轴优化追踪实现对多次波预测误差的校正,最后应用短时窗的FK滤波对多次波予以压制。该方法仅根据多次波同相轴旅行时信息进行匹配衰减,降低对多次波预测精度的要求,并且能够显著提高多次波压制的精度。理论模型实验与野外资料处理实验结果均表明,该方法的多次波剔除效果明显优于常规的多道维纳滤波方法与抛物线拉冬域蒙版滤波法。
The paper introduces a multiple matching attenuation method based on optimized event tracing. Firstly, the method uses multiple data predicted by SRME to generate multiple velocity spectrum, then gets travel time information of multiple event by event tracing technique. An optimized tracing is used to correct the errors of predicted multiples and then a short-time FK fan filtering is applied to attenuate the multiples. The matching attenuation is based only on travel time information of multiple, thus it can lower the requirement in the multiple prediction precision to a certain extent. Meanwhile, optimized event tracing can significantly improve the accuracy of multiple elimination. Model simulations and field tests show that the method has better multiple eliminating effect than conventional multi-channel Wiener filter methods and the mask filtering methods in parabola Radon domain

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