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基于二阶统计量的盲提取算法
Blind source separation of picking first arrival based on second-order statistics
【摘要】 在地震资料处理中为保证初至拾取结果的正确性,一般先降噪后再进行自动拾取或者手工拾取。普通降噪方法大多都是以牺牲部分有效信号为代价,而且必须满足一定的信噪比的时候才能有效。本文将盲提取技术引入了降噪处理。其关键着眼于分离而非切除噪声,因此在去除噪声的时候不损伤有效信号,为降噪处理提供了一种新思路。文中提出了一种基于二阶统计量的去除干扰波的盲提取算法,通过这种算法可以提取出去除了干扰后的地震数据,对实际地震资料的处理表明:这种算法可以去除干扰波、有效地压制噪声,达到了提高初至拾取精度的目的。
【Abstract】 Noise reduction usually is conducted before first arrivals picking,which could damage effective signals.This article proposes an algorithm of blind source separation based on the second-order statistics.The method focuses on noise separation rather than noise removal.So there are no harms to effective signals.This idea might provide a new way for noise reduction.The algorithm of blind source separation based on the second-order statistics is applied to seismic data.The results show that the algorithm is effect,noises are separated and removed,and accurate first arrivals are picked up.
- 【文献出处】 石油地球物理勘探 ,Oil Geophysical Prospecting , 编辑部邮箱 ,2011年02期
- 【分类号】P631.4
- 【被引频次】4
- 【下载频次】129