Research on Methods and Applications for Picking P-Wave Arrival Times in Low Signal-to-Noise Ratio Microseismic Data and Eliminating Interference Signals
To address the challenge of accurately picking P-wave arrival times in low signal-to-noise ratio and complex microseismic signals,a technique is proposed based on the time-frequency characteristics of P-wave arrival.This method in-volves the collaborative use of discrete wavelet transform(DWT),adaptive integral peak amplitude picking method(PAI-k),and Akaike information criterion(AIC)for P-wave arrival time picking.Simulated studies on P-wave picking with different signal-to-noise ratios and active seismic source localization experiments in the mining area of the Jinchuan Mine in Gansu Prov-ince,China,were conducted to validate the effectiveness of the proposed method.The results show that,compared to traditional methods,the proposed approach achieves the highest accuracy in picking P-wave arrival points across different signal-to-noise ratio levels,with an accuracy exceeding 80%even in low signal-to-noise ratio conditions.Furthermore,using the P-wave arrival time data processed with this method,the average localization error of active seismic sources in the mining area is reduced to 6.6 meters,effectively improving the localization accuracy in complex noisy environments.
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