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初至波自动拾取方法到目前为止已有很多,但拾取精度总受噪音及波形变化的影响。本文在利用时窗方法与改进的能量比方法联合进行初至波自动拾取的基础上,联合COP道集与CSP道集对特征点进行了筛选。该方法是建立在对单道数据的分析基础上的,首先利用时窗方法确定初至波的大体位置,然后利用改进的能量比方法,准确的确定初至波到达的时间,对检测结果利用一定的准则进行判断,找出错误的边界点,利用正确的边界点对不正确的进行样条插枝。利用实际资料对方法进行了验证,结果表明,该方法拾取精度高,自动化程度高,计算效率快。
There are many methods of automatic pick-to-wave pickup so far, but pick-up accuracy is always affected by noise and waveform changes. In this paper, based on the combination of time-window method and improved energy ratio method, the first-arrival wave is picked up automatically, and the feature points are screened by joint-path set and CSP gathers. The method is based on the analysis of single-channel data. Firstly, the time-window method is used to determine the approximate position of the first arrival wave. Then, by using the improved energy ratio method, the arrival time of the first arrival wave can be accurately determined and the detection result can be used Certain criteria to judge, find the wrong boundary point, the correct boundary point incorrect interpolation spline. The method is validated by the actual data. The results show that this method has the advantages of high precision, high degree of automation and high computational efficiency.