基于脉冲检测的混合震源数据分离

混合震源采集技术相对于传统地震数据采集具有改善成像质量、提高采集效率的优势.减小混合炮中单炮之间的随机延时范围能够有效的提高采集效率，但这也给之后的混采数据分离带来了影响.混采数据经伪分离后非共炮域数据中的混叠噪声明显更加集中，不利于对混叠噪声进行压制.本文提出基于脉冲检测方法对混采数据进行分离，并且与迭代的多级中值滤波方法作对比，时间延时范围较大时，两种方法都能得到很好的分离结果；时间延时范围较小时，本文方法能更有效的去除混叠噪声，同时也能更好的保留细节信息.实际数据计算结果表明，本文方法一定程度上还能够有效压制其他随机噪声.

Separation of mixed source seismic data based on the impulse detection

Compared with the traditional seismic data acquisition, the mixed source acquisition technology has the advantages of improving the image quality and acquisition efficiency. Reducing the random delay range between single sources in the mixed sources can effectively enhance the efficiency of the acquisition, but it also has a negative impact on the separation of the mixed data. The blending noise in the non-common-source domain data is significantly more concentrated after pseudo-separation, which is difficult to suppress when the random delay time range is small. In this paper, we propose a method to separate the simultaneous source seismic data based on the pulse detection method, and compare it with the iterative multi-level median filtering method. When the time delay range is large, the two methods can both get a good separation result. When the time delay range is small, the method presented in this paper can be more effective, and retain more details of information. The actual data calculation shows that this method can also suppress other random noise to a certain extent.