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Abstract Determining arrival time of microseismic P-wave is one of the key steps in microseismic data processing. In order to accurately determine arrival times of microseismic P-wave,according to the characteristics of different noise pollution degrees in different channels and periods of microseismic signal,the signal-to-noise index(SNI) superimposed by normalized signal-to-noise ratio(SNR),the apparent degree of the signal(ADS) and the apparent degree of the jump point(ADJ) is used instead of SNR to quantify the quality of microseismic signal. Taking SNI as the judgment condition,the high-quality signal input is selected to improve the microseismic arrival accuracy. The method determining arrival times of microseismic P-wave(QONSL method) was designed based on quality optimization and normalized STA/LTA method. To test the feasibility and effectiveness of this method,the test data and microseismic monitoring data of Wulong Mine in Fuxin were processed respectively. The processing results of the test data show that when quantifying the quality of microseismic signal,the SNI is more accurate than the SNR,and the larger the SNI is,the closer the picking result is to the accurate time. The data processing results of Wulong Mine in Fuxin show that the QONSL method can quickly target the channel with higher signal quality and pick up the arrival times of microseismic P-wave through SNI. According to the arrival time picking results of 120 microseismic signals,the error with the accurate arrivals is kept within 5 ms,and the arrival error of 86 microseismic events is controlled within 2 ms. Compared with the STA/LTA algorithm,the overall picking accuracy of QONSL algorithm is improved by 72%,and the fluctuation of the global error range is reduced by 75%. The QONSL method is less affected by noise and has higher picking efficiency and accuracy,which can provide a reference for the hydraulic fracturing of the coal seam,the real-time monitoring of mine dynamic disaster,and the subsequent automatic high-precision positioning calculation of microseismic.
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LI Botao1, 2, 3, TAN Yuxuan1, LIN Haifei4, 5*, WEI Jianping1, 2, 3, ZHANG Hongtu1, 2, 3, LI Shugang4, 5, WEI Zongyong4, 5, WANG Pei4, LUO Rongwei4, LIU Yanwei1, 2, 3. Mechanical properties and mesoscopic damage evolution of coal under liquid-nitrogen freezing at different initial temperatures[J]. , 2026, 45(6): 1757-1772. |
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