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| Research on microseismic event locating in layered rock masses based on Snell¢s law and Cuckoo search algorithm |
| ZHANG Xiaoping，ZHU Hangkai，LIU Quansheng，WU Jian |
| (School of Civil Engineering and Architecture，Wuhan University，Wuhan，Hubei 430072，China) |
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Abstract Precise localization of microseismic events plays an important role in rockburst monitoring and early warning，and although the positioning error of the sectional wave velocity model is substantially lower than that of the single wave velocity model，the positioning error is still large(28.51 m of an example in this paper). Therefore，this paper proposes a new microseismic localization method based on Snell's law and Cuckoo search algorithm to improve the localization accuracy in layered rock masses. The results show that the Cuckoo search algorithm can combine long and short step lengths to search for spatially optimal solutions using the Lévy flight search strategy，presents good robustness in the process of seismic source inversion by simulating the specialized breeding parasitic behavior of Cuckoos，and can achieve reliable localization of microseismic events. It is also indicated that the combination of the Cuckoo search algorithm and the Snell¢s law can effectively overcome the error caused by simplifying the elastic wave propagation path between two points to a straight line，and can significantly reduce the positioning error compared to the sectional wave velocity model(down to 0.12 m in this paper)
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2021, Vol. 40 
