矿山微地震活动时空分布
|
摘要
利用最短距离聚类法对某矿山微地震活动的时空分布进行了分析,结合现场采掘计划,有效识别了井下地压活动区.通过建立各活动区内微震参数时间序列曲线,研究了局部围岩的应力变形规律,探讨了岩体失稳的前兆规律.结果表明:研究期间井下各微震聚集区相互孤立,采掘活动不会引起大范围的地压活动;微震累计事件数及累计能量时间序列曲线出现由平静突然增大时表征了岩体内累积应变能的突然释放,预示围岩稳定性的劣化.根据研究结果,最终建立了基于微震监测技术井下岩体稳定性研究的一般模式.
The space-time distribution of microseismic activities in a mine was analyzed by minimum distance clustering.Combined with mining activities,areas with ground pressure activities were identified effectively.The time series curves of microseismic parameters were established to study the stress and deformation of local surrounding rock and investigate the precursor of rock mass failure.It is found that accumulation areas are isolated and unaffected each others,showing that large-area ground pressure activities will not happen.An abrupt increase of accumulated events number and energy after quiet in the time series curves represents the sudden release of accumulation energy in rock mass,indicating that the stability of surrounding rock deteriorates.Based on the research results and microseismic monitoring technology,a general model was established to study the stability of surrounding rock.
The space-time distribution of microseismic activities in a mine was analyzed by minimum distance clustering.Combined with mining activities,areas with ground pressure activities were identified effectively.The time series curves of microseismic parameters were established to study the stress and deformation of local surrounding rock and investigate the precursor of rock mass failure.It is found that accumulation areas are isolated and unaffected each others,showing that large-area ground pressure activities will not happen.An abrupt increase of accumulated events number and energy after quiet in the time series curves represents the sudden release of accumulation energy in rock mass,indicating that the stability of surrounding rock deteriorates.Based on the research results and microseismic monitoring technology,a general model was established to study the stability of surrounding rock.
引文
[1]Wang C L,Wu A X,Liu X H,et al.Variation characteristics ofcapacity dimension Df with microseismicity in deep mining.J UnivSci Technol Beijing,2010,32(11):1379(王春来,吴爱祥,刘晓辉,等.深井开采微震活动容量维Df变化特征.北京科技大学学报,2010,32(11):1379)
[2]Wang C L,Wu A X,Xu B G,et al.Study on establishment andoptimization network of the microseismic monitoring system in adeep mine//Proceedings of the 10th National Rock Mechanical andEngineering.Weihai,2008:120(王春来,吴爱祥,徐必根,等.某深井矿山微震监测系统建立与网络优化研究//第十届全国岩石力学与工程学术大会论文集.威海,2008:120)
[3]Xie H P,Pariseau W G.Fractal character and mechanism of rockbursts.Chin J Rock Mech Eng,1993,12(1):28(谢和平,Pariseau W G.岩爆的分形特征和机理.岩石力学与工程学报,1993,12(1):28)
[4]Tang L Z,Xia K W,Li X B.Seismic multi-fractal characteristicsin mines and seismicity prediction.Chin J Rock Mech Eng,2010,29(9):1818(唐礼忠,Xia K W,李夕兵.矿山地震活动多重分形特性与地震活动性预测.岩石力学与工程学报,2010,29(9):1818)
[5]Yang C X,Lou Z Q,Tang L Z.Study on rule of geostatic activitybased on microseismic monitoring technique deep mining.Chin JRock Mech Eng,2007,26(4):818(杨承祥,罗周全,唐礼忠.基于微震监测技术的深井开采地压活动规律研究.岩石力学与工程学报,2007,26(4):818)
[6]Yuan Z Q,Yang X C,Tang L Z.Research on the relationship be-tween exploiting activity of hard-rock metal mines and mining-in-duced seismicity.China Saf Sci J,2008,18(4):16(袁子清,杨小聪,唐礼忠.硬岩金属矿山开采活动与矿山地震活动的关系研究.中国安全科学学报,2008,18(4):16)
[7]Yang Z G,Yu R C,Guo R,et al.Research of mining based onmicroseismic monitoring technology in high-stress area.Chin JRock Mech Eng,2009,28(增刊2):3632(杨志国,于润沧,郭然,等.基于微震监测技术的矿山高应力区采动研究.岩石力学与工程学报,2009,28(Suppl2):3632)
[8]Diao G L,Wang J G,Dai B S,et al.Cluestering analysis ofstrong shock along Huanghai and Bohai.North China EarthquakeSci,1999,17(2):6(刁桂苓,王俊国,戴泊生,等.渤海、黄海及沿岸强震聚类分析.华北地震科学,1999,17(2):6)
[9]Gu H B,Zhao W P.Cluestering algorithm based on Max-min dis-tance for students'score analysis in universities and applications.JHebei Univ Eng Nat Sci Ed,2010,27(1):96(顾洪博,赵万平.基于MMD聚类算法及在高校成绩分析中的应用.河北工程大学学报:自然科学版,2010,27(1):96)
[10]Les'niak A,Isakow Z.Space-time clustering of seismic events andhazard assessment in the Zabrze-Bielszowice coal Poland.Int JRock Mech Min Sci,2009,46(5):918
[11]Liu X H,Wu A X,Wang C L,et al.Research on application ofthe microseismic monitoring system in Yunnan Huize lead-zincmine.Met Mine,2010(1):151(刘晓辉,吴爱祥,王春来,等.云南会泽铅锌矿微震监测系统应用研究.金属矿山,2010(1):151)
[12]Tang L Z.Study on Monitoring and Prediction of Seismicity andRockburst in a Deep Mine[Dissertation].Changsha:CentralSouth University,2008:4(唐礼忠.深井矿山地震活动与岩爆监测及预测研究[学位论文].长沙:中南大学,2008:4)
[2]Wang C L,Wu A X,Xu B G,et al.Study on establishment andoptimization network of the microseismic monitoring system in adeep mine//Proceedings of the 10th National Rock Mechanical andEngineering.Weihai,2008:120(王春来,吴爱祥,徐必根,等.某深井矿山微震监测系统建立与网络优化研究//第十届全国岩石力学与工程学术大会论文集.威海,2008:120)
[3]Xie H P,Pariseau W G.Fractal character and mechanism of rockbursts.Chin J Rock Mech Eng,1993,12(1):28(谢和平,Pariseau W G.岩爆的分形特征和机理.岩石力学与工程学报,1993,12(1):28)
[4]Tang L Z,Xia K W,Li X B.Seismic multi-fractal characteristicsin mines and seismicity prediction.Chin J Rock Mech Eng,2010,29(9):1818(唐礼忠,Xia K W,李夕兵.矿山地震活动多重分形特性与地震活动性预测.岩石力学与工程学报,2010,29(9):1818)
[5]Yang C X,Lou Z Q,Tang L Z.Study on rule of geostatic activitybased on microseismic monitoring technique deep mining.Chin JRock Mech Eng,2007,26(4):818(杨承祥,罗周全,唐礼忠.基于微震监测技术的深井开采地压活动规律研究.岩石力学与工程学报,2007,26(4):818)
[6]Yuan Z Q,Yang X C,Tang L Z.Research on the relationship be-tween exploiting activity of hard-rock metal mines and mining-in-duced seismicity.China Saf Sci J,2008,18(4):16(袁子清,杨小聪,唐礼忠.硬岩金属矿山开采活动与矿山地震活动的关系研究.中国安全科学学报,2008,18(4):16)
[7]Yang Z G,Yu R C,Guo R,et al.Research of mining based onmicroseismic monitoring technology in high-stress area.Chin JRock Mech Eng,2009,28(增刊2):3632(杨志国,于润沧,郭然,等.基于微震监测技术的矿山高应力区采动研究.岩石力学与工程学报,2009,28(Suppl2):3632)
[8]Diao G L,Wang J G,Dai B S,et al.Cluestering analysis ofstrong shock along Huanghai and Bohai.North China EarthquakeSci,1999,17(2):6(刁桂苓,王俊国,戴泊生,等.渤海、黄海及沿岸强震聚类分析.华北地震科学,1999,17(2):6)
[9]Gu H B,Zhao W P.Cluestering algorithm based on Max-min dis-tance for students'score analysis in universities and applications.JHebei Univ Eng Nat Sci Ed,2010,27(1):96(顾洪博,赵万平.基于MMD聚类算法及在高校成绩分析中的应用.河北工程大学学报:自然科学版,2010,27(1):96)
[10]Les'niak A,Isakow Z.Space-time clustering of seismic events andhazard assessment in the Zabrze-Bielszowice coal Poland.Int JRock Mech Min Sci,2009,46(5):918
[11]Liu X H,Wu A X,Wang C L,et al.Research on application ofthe microseismic monitoring system in Yunnan Huize lead-zincmine.Met Mine,2010(1):151(刘晓辉,吴爱祥,王春来,等.云南会泽铅锌矿微震监测系统应用研究.金属矿山,2010(1):151)
[12]Tang L Z.Study on Monitoring and Prediction of Seismicity andRockburst in a Deep Mine[Dissertation].Changsha:CentralSouth University,2008:4(唐礼忠.深井矿山地震活动与岩爆监测及预测研究[学位论文].长沙:中南大学,2008:4)
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心