本文介绍了3D数据集中地震同相轴追踪的新方法。在研究中,原先用这种方法在地面反射干扰环境中追踪目标体,现在该法使用概率数据组合(POA)估价各次正确返回的概率。该理论经修改后已用于地震同相轴的追踪。它与目标追踪不同,这是一种静态问题。在实际和合成数据集中已对新方法进行了测试。 This paper introduces a new method of seismic event tracking in 3D data sets. In the original study, the original method was used to track the target in the environment of ground-reflection interference. Now the method uses the probability data set (POA) to estimate the probability of each correct return. This theory has been modified for the tracking of seismic events. It is different from target tracking, which is a static problem. The new method has been tested in real and synthetic data sets.