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大规模深井开采微震监测系统站网布置优化
引用本文:唐礼忠,杨承祥,潘长良. 大规模深井开采微震监测系统站网布置优化[J]. 岩石力学与工程学报, 2006, 25(10): 2036-2042
作者姓名:唐礼忠  杨承祥  潘长良
作者单位:1. 中南大学,资源与安全工程学院,湖南,长沙,410083
2. 铜陵有色金属集团公司,冬瓜山铜矿,安徽,铜陵,244031
基金项目:国家科技攻关计划;国家自然科学基金
摘    要:冬瓜山铜矿是我国目前开采深度最大、具有岩爆危害的大型硬岩金属矿山。采用微震监测系统实现该矿岩爆的实时监测和预报,为此,进行微震监测系统站网布置优化研究。分析该矿采用多盘区多采场同时开采条件下的岩爆分布特点,确定微震监测系统的监测范围;针对监测范围、井下巷道工程和微震监测系统技术性能,设计多个微震监测系统传感器站网空间布置方案,对各方案计算事件震源定位误差和系统灵敏度;在综合分析计算结果、工程条件和经济性的基础上,确定满足该矿首采区微震监测要求的最佳监测系统配置方案;系统建立之后进行事件震源定位精度和灵敏度测定的爆破试验,证明该监测系统站网布置满足矿山监测要求,保证监测数据的可靠性和有效性。

关 键 词:采矿工程  深井开采  岩爆  微震监测网:震源定位  灵敏度  优化
文章编号:1000-6915(2006)10-2036-07
收稿时间:2005-05-18
修稿时间:2005-05-182006-02-23

OPTIMIZATION OF MICROSEISMIC MONITORING NETWORK FOR LARGE-SCALE DEEP WELL MINING
TANG Lizhong,YANG Chengxiang,PAN Changliang. OPTIMIZATION OF MICROSEISMIC MONITORING NETWORK FOR LARGE-SCALE DEEP WELL MINING[J]. Chinese Journal of Rock Mechanics and Engineering, 2006, 25(10): 2036-2042
Authors:TANG Lizhong  YANG Chengxiang  PAN Changliang
Affiliation:1. School of Resources and Safety Engineering, Central South University, Changsha, Hunan 410083, China; 2. Dongguashan Mine of Tongling Non-ferrous Metal Group Company, Tongling, Anhui 244031, China
Abstract:Dongguashan Copper Mine is the deepest metal mine which has strong rockburst hazard in China. A microseismic monitoring system is established to monitor and predict rockbursts in real time in the mine. Therefore, the optimization of distribution of microseismic network is carried out. The characteristics of rockburst distribution caused by simultaneous excavation of multi-panel and multi-stope are analyzed to determine the monitoring area. Many schemes of distributions of microseismic networks are designed in terms of the monitoring area, the underground drifts and technical characteristics of the seismic monitoring system in the mine. The errors of source location and system sensitivities associated with these schemes are calculated. The optimum distribution of the microseismic network is gotten by synthetic analysis of the calculation results, engineering conditions and economical efficiency. After the system is established, some in-situ tests are made to measure the errors and sensitivities, and the results confirm that the optimum distribution meets the requirement of seismic monitoring in the mine, and the monitoring data are reliable and valid.
Keywords:mining engineering   deep well mining   rockburst   microseismic monitoring network   seismic sourcelocation   sensitivity   optimization
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