Time-arrival pickup method of tunnel water inrush microseismic signals based on kurtosis value and AIC method

Abstract

One of the main factors affecting microseismic positioning is the travel time of microseismic waves, that is, the accuracy of picking up microseismic waves when they arrive. Although the manual pick-up has high accuracy in the arrival pick-up of microseismic signals, it has low working efficiency and is seriously affected by human activities, so it is difficult to cope with the huge amount of microseismic information. In order to solve the above problems, this paper proposes a K-AIC microseismic signal arrival pick-up method based on the fusion of the kurtosis value of higher-order statistics (PAI-K) and the Akachi information criterion (AIC). This method not only effectively reduces the dependence of kurtosis method on the size of sliding time window, but also solves the problems of weak anti-noise ability of AIC method and poor pick-up accuracy of low signal-to-noise ratio signal. By comparing the kurtosis, skewness, AIC method and artificial average picking results, the accuracy of the picking results proposed in this paper is verified by using the microseismic signals of water inrush obtained by indoor model test and the microseismic signals measured on site.