微震监测参数主要特性及关系的研究
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摘要
通过对会泽铅锌矿微震监测系统记录的大量数据的分析,利用系统自带软件对其中主要参数进行了深入研究,发现微震震级与微震事件频率之间、微震能量与地震矩之间以及视应力与地震矩之间都存在幂律分布特性。同时,基于井下重点监测区域发生的岩体失稳现象,分析了岩体失稳前兆和事件频度、累计视体积等微震参数随时间变化的关系,发现微震监测主要参数在岩体失稳之前呈现出异常变化趋势,利用这些参数变化征兆来研究岩体失稳时间阈值完全可以满足预测预报要求。
A large amount of data from the microseismic monitoring system in Huize lead-zin c mine was analyzed,then in-depth study on the major parameters of microseismic events was made by the software come with the system.It was found that there wer e power law distribution characteristics between microseismic magnitude and freq uence,microseismic energy and moment,and the apparent stress of rock and microse ismic moment.At the same time,based on rock destabilization events occurred in m ajor underground monitoring areas,the changes of the premonition of rock destabi lization,the event frequency and the accumulated apparent volume depending on ti me were analyzed. It was found that before rock destabilization occurred the maj or microseismic monitoring parameters showed abnormal changes.It can fully meet requirements of prediction and forecast to use the changing signs of these param eters to study the threshold time of rock destabilization.
A large amount of data from the microseismic monitoring system in Huize lead-zin c mine was analyzed,then in-depth study on the major parameters of microseismic events was made by the software come with the system.It was found that there wer e power law distribution characteristics between microseismic magnitude and freq uence,microseismic energy and moment,and the apparent stress of rock and microse ismic moment.At the same time,based on rock destabilization events occurred in m ajor underground monitoring areas,the changes of the premonition of rock destabi lization,the event frequency and the accumulated apparent volume depending on ti me were analyzed. It was found that before rock destabilization occurred the maj or microseismic monitoring parameters showed abnormal changes.It can fully meet requirements of prediction and forecast to use the changing signs of these param eters to study the threshold time of rock destabilization.
引文
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[11]于润沧.采矿工程师手册[M].北京:冶金工业出版社,2009.
[12]C Srinivasan S K Arora,Benady S.Precursory monitoring of im-pending rockbursts in Kolar gold mines from microseismic emis-sions at deeper levels[J].International Journal of Rock Mechan-ics and Mining Sciences,1999,36(2):941～948.
[2]Wang Chunlai,Wu Aixiang,Liu Xiaohui,et al.Mechanisms of microseismic events occurred in a deep hard-rock mine of Chi-na[A].The7th International Symposium on Rockburst and Seis-micity in Mines[C].New York:Rinton Press,2008:245～250.
[3]吉学文,王春来,吴爱祥,等.某深井矿山岩爆特征及形成机理研究[J].金属矿山,2008,(9):23～25.
[4]Wu Aixiang,Wang Chun-lai,Liu Xiaohui,et al.Characterisitics and mechanisms of rockburst in a deep mine in China[A].The7th International Symposium on Rockburst and Seismicity in Mines[C].New York:Rinton Press,2008:1037～1044.
[5]Mendecki A J,G van Aswegen,P Mmountfort.A guide to routine seismic monitoring in mines[A].A Handbook on Rock Engi-neering Practice for Tabular Hard Rock Mines.[S.1].:[s.n.],1999:129～140.
[6]Mendecki A J.Principles of monitoring seismic rockmass re-sponse to mining[A].Gibowicz and Lasocki eds.Rockbursts and Seismicity in Mines[C].Rotterdam:Balkema,1997:69～80.
[7]胡海波,王林.幂律分布研究简史[J].物理,2005,(12):889～896.
[8]Beer Wde,Mendecki A J.Rockburst prediction-case study u-sing a kinematics of failure approach[J].South African institute of mining and merallurgy,1998:65～73.
[9]Slawomir Jerzy Gibowicz,Andrzej Kijko.矿山地震学引论[M].修济刚,徐平,杨心平.北京:地震出版社,1998:322～332.
[10]帕巴克.大自然如何工作[M].武汉:华中师范大学出版社,2001.
[11]于润沧.采矿工程师手册[M].北京:冶金工业出版社,2009.
[12]C Srinivasan S K Arora,Benady S.Precursory monitoring of im-pending rockbursts in Kolar gold mines from microseismic emis-sions at deeper levels[J].International Journal of Rock Mechan-ics and Mining Sciences,1999,36(2):941～948.
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