Automatic picking method of microseismic first arrival based on support vector machine based on particle swarm optimization

Tieniu Li; Binxin Hu; Zengrong Sun; Feng Zhu; Hua Zhang; Quancheng Yang

doi:10.1117/12.2667714

28 March 2023 Automatic picking method of microseismic first arrival based on support vector machine based on particle swarm optimization

Tieniu Li, Binxin Hu, Zengrong Sun, Feng Zhu, Hua Zhang, Quancheng Yang

Author Affiliations +

Proceedings Volume 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022); 125663D (2023) https://doi.org/10.1117/12.2667714
Event: Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 2022, Chongqing, China

Abstract

Automatic and accurate arrival time pickup of microseismic first-arrival waves is an important prerequisite for high precision microseismic source location. Aiming at the low efficiency of the traditional manual pickup method and the low accuracy of the long, short window energy ratio (STA/LTA) method commonly used in automatic pickup for low signal-to-noise ratio signals, an automatic picking method of microseismic first arrival based on support vector machine based on particle swarm optimization is proposed. Firstly, according to the amplitude and energy of microseismic signal and the energy ratio of adjacent time, the signals are marked with different categories. Then the parameters are optimized by particle swarm optimization algorithm to construct the support vector machine model of microseismic first-arrival. Finally, the data is substituted to extract the microseismic first-arrival. The experiment is carried out with the microseismic monitoring data of underground roadway in a gold mine. The experimental results show that, under the condition of low SIGNal-to-noise ratio, the picking accuracy of the proposed method is 96.4%, the average pickup error is 3.9ms, and the picking accuracy and accuracy are better than STA/LTA method.

Citation Download Citation

Tieniu Li, Binxin Hu, Zengrong Sun, Feng Zhu, Hua Zhang, and Quancheng Yang "Automatic picking method of microseismic first arrival based on support vector machine based on particle swarm optimization", Proc. SPIE 12566, Fifth International Conference on Computer Information Science and Artificial Intelligence (CISAI 2022), 125663D (28 March 2023); https://doi.org/10.1117/12.2667714

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