A study on micro-seismic location of velocity partition based on the 3D stations underground mine

Rui Dai; Yibo Wang; Da Zhang; Hu Ji

doi:10.1117/12.2652100

2 November 2022 A study on micro-seismic location of velocity partition based on the 3D stations underground mine

Rui Dai, Yibo Wang, Da Zhang, Hu Ji

Proceedings Volume 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022); 1235114 (2022) https://doi.org/10.1117/12.2652100
Event: International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 2022, Nanjing, China

Abstract

At present, the mine microseismic monitoring system mostly adopts the mean velocity model and absolute positioning method, and the source positioning error is large, which seriously affects the later processing interpretation and risk assessment, it is difficult to meet the refined management requirements of deep mining ground pressure risk. In response to this situation, the velocity partition model is established, which makes the velocity model more fit with the velocity structure characteristics of the complex rock mass in the microseismic monitoring area underground mine (mine roadway, cavity, ore body, surrounding rock mass, etc.), so as to improve the picking accuracy of microseismic wave arrival time. Finally, the mine site data is used to carry out the IMS micro-seismic monitoring system positioning results and the source location results in this paper benchmarking. The results show that the relocation results obtained by the micro-seismic location of velocity partition based on the 3D stations underground mines are more reliable and more accurately match the high-risk areas during mining.

Citation Download Citation

Rui Dai, Yibo Wang, Da Zhang, and Hu Ji "A study on micro-seismic location of velocity partition based on the 3D stations underground mine", Proc. SPIE 12351, International Conference on Advanced Sensing and Smart Manufacturing (ASSM 2022), 1235114 (2 November 2022); https://doi.org/10.1117/12.2652100

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