基于到时差值的微震波异常信号识别方法

摘要
图/表
参考文献
相关文章 (15)

全文: PDF (1196 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要延迟信号和外部异常信号严重影响微震震源定位精度，为了对它们进行有效识别，基于震源定位理论和微震台网几何特性，建立震源定位的双曲线和双曲面控制方程，揭示到时不同震源定位方法所确定的震源轨迹是一系列二维平面中的双曲线或三维空间中的双曲面，且双曲线或双曲面的形状和位置与到时差值密切相关。论证传感器观测到时之间存在P波到时差值理论极限和延迟信号到时差值理论极限，根据到时差值、微震台网布设和监测空间几何特征，构建2种理论极限的求解模型，建立到时差值分析表，提出根据观测到时差值和2种到时差值理论极限内在关系识别延迟信号和外部异常信号的全新方法。现场爆破实验表明：基于到时差值的微震波异常信号识别方法能够对延迟信号和外部异常信号进行有效识别，在剔除2种异常信号后的震源定位精度得到极大提高，实现对震源的高精度定位，满足现场微震监测需求。

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章

关键词 ：采矿工程, 微震, 台网布设, 双曲线域, 到时差值, 延迟信号, 外部异常信号, 识别方法

Abstract：The delayed signals and external outlier signals are two common outliers which seriously affect the accuracy of microseismic source locating. In order to recognize them efficiently，the hyperbolic and hyperboloidal governing equations were obtained based on the theory of microseismic source locating and the geometrical characteristics of network layout. The source paths from different source location methods were found to be a series of hyperbolas on a plane or hyperboloids in a space；and the shape and the position of hyperbolas or hyperboloids were closely related to the time differences of arrival. The study showed that there were theoretical limits of time differences of arrival for P-wave and delayed wave respectively. A model to derive the two type of theoretical limits of time differences of arrival was established on the analysis of the time differences of arrival and the geometrical characteristics of microseismic network and monitoring space. A table of the time differences of arrival for outlier signals analysis was constructed. A novel method was thus put forward for recognizing the delayed signals and external outlier signals. The feasibility and advantages of this method were verified by an in-situ blasting test. The experimental results show that the delayed signals and external outlier signals are identified correctly and effectively by this novel method. The accuracy of microseismic source location is improved greatly after eliminating the outlier signals.

Key words： mining engineering microseism microseismic network layout hyperbolic field time differences of arrival delayed signals external outlier signals identification method

收稿日期: 2013-08-22

引用本文:

李楠1，2，王恩元2，3，GE Maochen4，孙珍玉2，3，李保林2，3. 基于到时差值的微震波异常信号识别方法[J]. 岩石力学与工程学报, 2014, 33(8): 1654-1661.
LI Nan1，2，WANG Enyuan2，3，GE Maochen4，SUN Zhenyu2，3，LI Baolin2，3. A METHOD FOR IDENTIFYING OUTLIER SIGNALS FOR MICROSEISMIC EVENT BASED ON ARRIVAL TIME DIFFERENCE. , 2014, 33(8): 1654-1661.

链接本文:

http://www.rockmech.org/CN/Y2014/V33/I8/1654

[14]	GOFORTH T，HERRIN E. An automatic seismic signal detection algorithm based on the Walsh transform[J]. Bulletin of the Seismological Society of America，1981，71(1)：1 351-1 360. " target="_blank">
[17]	DAI H C，COLIN M B. Automatic picking of seismic arrivals in local earthquake data using an artificial neural network[J]. Geophysical Journal International，1995，120(3)：758-774. " target="_blank">
[19]	叶根喜，姜福兴，杨淑华. 时窗能量特征法拾取微地震波初始到时的可行性研究[J]. 地球物理学报，2008，51(5)：1 574-1 581.(YE Genxi，JIANG Fuxing，YANG Shuhua. Possibility of automatically picking first arrival of microseismic wave by energy eigenvalue method[J]. Chinese Journal of Geophysics，2008，51(5)：1 574-1 581. (in Chinese)) " target="_blank">
[21]	朱权洁，姜福兴，尹永明，等. 基于小波分形特征与模式识别的矿山微震波形识别研究[J]. 岩土工程学报，2012，34(11)：2 036-2 042. (ZHU Quanjie，JIANG Fuxing，YIN Yongming，et al. Classification of mine microseismic events based on wavelet-fractal method and pattern recognition[J]. Chinese Journal of Geotechnical Engineering，2012，34(11)：2 036-2 042.(in Chinese)) " target="_blank">
[15]	WOOD L C. Seismic data compression methods[J]. Geophysics，1974，39(4)：499-525. " target="_blank">
[23]	朱权洁，姜福兴，于正兴，等. 爆破震动与岩石破裂微震信号能量分布特征研究[J]. 岩石力学与工程学报，2012，31(4)：723-730. (ZHU Quanjie，JIANG Fuxing，YU Zhengxing，et al. Study on energy distribution characters about blasting vibration and rock fracture microseismic signal[J]. Chinese Journal of Rock Mechanics and Engineering，2012，31(4)：723-730.(in Chinese))
[25]	刘超，唐春安，薛俊华，等. 煤岩体微震事件属性识别与标定综合分析方法[J]. 采矿与安全工程学报，2011，28(1)：61-65.(LIU Chao，TANG Chun?an，XUE Junhua，et al. Comprehensive analysis method of identifying and calibrating micro-seismic events attributes in coal and rock mass[J]. Journal of Mining and Safety Engineering，2011，28(1)：61-65.(in Chinese)) " target="_blank">
[26]	刘劲松，王赟，姚振兴. 微地震信号到时自动拾取方法[J]. 地球物理学报，2013，56(5)：1 660-1 666.(LIU Jinsong，WANG Zan，YAO Zhenxing，et al. On microseismic first arrival identification：a case study[J]. Chinese Journal of Geophysics，2013，56(5)：1 660-1 666.(in Chinese)) " target="_blank">
[13]	ALLEN R V. Automatic phase pickers：their present use and future prospects[J]. Bulletin of the Seismological Society of America，1982，72(6)：225-242. " target="_blank">
[2]	GE M. Efficient mine microseismic monitoring[J]. International Journal of Coal Geology，2005，64(8)：44-56. " target="_blank">
[4]	COOK N G W. The seismic location of rockbursts[C]// Proceedings of the 5th Rock Mechanics Symposium. Oxford：Pergamon Press，1963：493-518. " target="_blank">
[6]	陈炳瑞，冯夏庭，李庶林，等. 基于粒子群算法的岩体微震源分层定位方法[J]. 岩石力学与工程学报，2009，28(4)：740-749.(CHEN Bingrui，FENG Xiating，LI Shulin，et al. Microseismic sources location with hierarchical strategy based on particle swarm optimization[J]. Chinese Journal of Rock Mechanics and Engineering，2009，28(4)：740-749.(in Chinese))
[8]	巩思园，窦林名，马小平，等. 提高煤矿微震定位精度的最优通道个数的选取[J]. 煤炭学报，2010，35(12)：2 017-2 021.(GONG Siyuan，DOU Linming，MA Xiaoping，et al. The method to identify the optimal channel numbers for increasing the location accuracy of microseismic events in coal mine[J]. Journal of China Coal Society，2010，35(12)：2 017-2 021.(in Chinese)) " target="_blank">
[10]	王进强，姜福兴，吕文生，等. 地震波传播速度原位试验及计算[J]. 煤炭学报，2010，35(12)：2 059-2 063.(WANG Jinqiang，JIANG Fuxing，LU Wensheng，et al. Microseismic wave propagation velocity in situ experiment and calculation[J]. Journal of China Coal Society，2010，35(12)：2 059-2 063.(in Chinese)) " target="_blank">
[3]	GIBOWICZ S J，KIJKO A. 矿山地震学引论[M]. 修济刚译. 北京：地震出版社，1996：1-12.(GIBOWICZ S J，KIJKO A. An introduction to mining seismology[M]. Translated by XIU Jigang. Beijing：Scismological Press，1996：1-12.(in Chinese)) " target="_blank">
[7]	林峰，李庶林，薛云亮，等. 基于不同初值的微震源定位方法[J]. 岩石力学与工程学报，2010，29(5)：996-1 002.(LIN Feng，LI Shulin，XUE Yunliang，et al. Microseismic sources location methods based on different initial values[J]. Chinese Journal of Rock Mechanics and Engineering，2010，29(5)：996-1 002.(in Chinese))
[11]	董陇军，李夕兵，唐礼忠，等. 无需预先测速的微震震源定位的数学形式及震源参数确定[J]. 岩石力学与工程学报，2011，30(10)： 2 057-2 067.(DONG Longjun，LI Xibing，TANG Lizhong，et al. Mathematical functions and parameters for microseismic source location without pre-measuring speed[J]. Chinese Journal of Rock Mechanics and Engineering，2011，30(10)：2 057-2 067.(in Chinese)) " target="_blank">
[18]	周彦文，刘希强. 初至震相自动识别方法研究与发展趋势[J]. 华北地震科学，2007，25(4)：18-22.(ZHOU Yanwen， LIU Xiqiang. Study on the automatic identification of first arrival phase and its development[J]. North China Earthquake Sciences，2007，25(4)：18-22.(in Chinese)) " target="_blank">
[22]	朱权洁，姜福兴，王存文，等. 微震波自动拾取与多通道联合定位优化[J]. 煤炭学报，2013，38(3)：397-403.(ZHU Quanjie，JIANG Fuxing，WANG Cunwen，et al. Automated microseismic event arrival picking and multichannel recognition and location[J]. Journal of China Coal Society，2013，38(3)：397-403.(in Chinese))
[1]	HARDY R. Acoustic emission/microseismic activity(Volume 1)[M]. Lisse，Netherlands：A. A. Balkema Publishers，2003：1-2. " target="_blank">
[5]	GE M C. Analysis of source location algorithms：Part I. Overview and non-iterative methods[J]. Journal of Acoustic Emission，2003，21：14-28. " target="_blank">
[9]	巩思园，窦林名，马小平，等. 煤矿矿震定位中异向波速模型的构建与求解[J]. 地球物理学报，2012，55(5)：1 757-1 763.(GONG Siyuan，DOU Linming，MA Xiaoping，et al. Study on the construction and solution technique of anisotropic velocity model in the location of coal mine tremor[J]. Chinese Journal of Geophysics，2012，55(5)： 1 757-1 763.(in Chinese)) " target="_blank">
[16]	刘希强，周蕙兰，李红. 基于小波包变换的地震数据时频分析方法[J]. 西北地震学报，2000，22(2)：143-146.(LIU Xiqiang，ZHOU Huilan，LI Hong. The study on scale value calibration of GS-gravimeter[J]. Northwestern Seismological Journal，2000，22(2)：143-146.(in Chinese)) " target="_blank">
[20]	吕世超. 微地震有效事件识别及震源自动定位方法研究[硕士学位论文][D]. 青岛：中国石油大学，2011.(LU Shichao. Automatic detection and location of microseismic events[M. S. Thesis][D]. Qingdao：China University of Petroleum，2011.(in Chinese)) " target="_blank">
[24]	陆菜平，窦林名，吴兴荣. 岩体微震监测的频谱分析与信号识别[J]. 岩土工程学报，2005，27(7)：772-775.(LU Caiping，DOU Linming，WU Xingrong，et al. Frequency spectrum analysis on microseismic monitoring and signal differentiation of rock material[J]. Chinese Journal of Geotechnical Engineering，2005，27(7)：772-775.(in Chinese))
[27]	巩思园，窦林名，曹安业，等. 煤矿微震监测台网优化布设研究[J]. 地球物理学报，2010，53(2)：457-465.(GONG Siyuan，DOU Linming，CAO Anye，et al. Study on optimal configuration of seismological observation network for coal mine[J]. Chinese Journal of Geophysics，2010，53(2)：457-465.(in Chinese))
[12]	ALLEN R V. Automatic earthquake recognition and timing from single traces[J]. Bulletin of the Seismological Society of America，1978，68(5)：1 521-1 532. " target="_blank">