Abstract
Deep-sea mining extracts ores on the ocean floor. During this process the sea water may flood into the mine due to rockburst hazards. This study proposes an effective method to assess rockburst hazards using a self-developed real-time microseismic monitoring system in Sanshandao goldmine (the first undersea mine in China). In addition, the wave dissimilation patterns of this mine have been elucidated by analyzing the signals obtained by the geophones embedded in a similar material model. The monitoring work started in December 2014 and ended in March 2015 in Sanshandao goldmine. To assess rockburst hazards, this study proposes several indexes including spatial-temporal distribution of microseismic events, microseismic activity rate, energy release rate, continuity index, and average daily energy. The results show that the surrounding rock went through the stationary, active, secondary stationary, and secondary active periods before rockburst occurrence. Compared with the stationary period, a sudden change of the continuity index and average daily energy can be observed in the active period in which minor rockbursts constantly occurred. Rockburst accidents are very likely to occur in the secondary active period. However, before this period, there usually exists a secondary stationary period without rockburst risk. This study proposes a workflow for designing and applying microseismic monitoring systems.
Highlights
Rockburst is a violent dynamic disaster caused by the sudden failure of the rock mass and is always associated with a large amount of seismic energy release [1]
The propagation patterns of microseismic waves influenced by geological defects have been studied using a similar material simulation model
A microseismic monitoring system with anticorrosive equipment is developed for assessing rockburst hazards in undersea mines
Summary
2, CUNWEN WANG3 , YANG CHEN4 , AND DECHENG GE4 of Safety Engineering, North China Institute of Science and Technology, Beijing 101601, China This work was supported in part by the State Key Research Development Program of China under Grant 2016YFC0801408, in part by the National Natural Science Foundation of China under Grant 51674014, and in part by the Key Project of National Natural Science Foundation under Grant 51634001.
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