基于反距离加权法的混采地震数据分离方法

Separation of blended source seismic data based on IDW method

为将混合地震记录分离为单炮地震记录,笔者采用基于反距离加权的迭代分离方法,在非共炮点域对伪分离数据进行混叠噪声的压制,将其变换回共炮点域,得到分离后的单炮地震记录。模拟数据和实际数据的处理结果证明,本方法能够有效地实现混合数据分离。相较于单独使用多级中值滤波方法,本分离方法能更好的保留有效信息。

To separate the blended seismic data into single shot seismic data, a method using iterative separation based on IDW(Inverse Distance Weight)is proposed, which suppresses the noise of pseudo-separated data in non-common-shot domain.The data is then transformed into the common shot domain to get the separated single shot seismic data.The method is proven to be able to separate the blended data more effectively by the processing results of simulated data and actual data.Compared with using multi-level median filtering method alone, more effective information can be preserved by this method.