| 煤矿矿震定位中异向波速模型的构建与求解 |
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| 引用本文： | 巩思园,窦林名,马小平,牟宗龙,贺虎,何江.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):1757-1763. |
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| 作者姓名： | 巩思园 窦林名 马小平 牟宗龙 贺虎 何江 |
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| 作者单位： | 1. 中国矿业大学 信息与电气工程学院, 江苏 徐州 221116;
2. 中国矿业大学 煤炭资源与安全开采国家重点实验室, 江苏 徐州 221116;
3. 中国矿业大学 矿业工程学院, 江苏 徐州 221116 |
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| 基金项目： | 国家重点基础研究发展规划(973)项目，江苏高校优势学科建设工程项目，江苏省博士后科研计划，煤炭资源与安全开采国家重点实验室自主研究课题，山东省博士后创新项目专项资金，教育部新世纪优秀人才支持计划项目 |
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| 摘 要： | 针对煤矿上覆岩层层状赋存和离层带的特点,构建矿井尺度的微震监测系统异向波速模型,模型中波速向量由地面探头速度与井下探头速度组成.研究了在只有强矿震信号和混有爆破信号两种条件下,以到时残差最小为目标和震源定位误差最小为目标的两种求解模型,模型求解选用具有全局寻优特性的遗传算法与CMEAS算法结合的混合算法.现场实际应用得出,只使用爆破信号的到时残差法最优,混有强矿震信号的到时残差法其次;与爆破信号定位所用的统一简化波速模型相比,震源定位误差大幅度降低.在此基础上进一步减低定位误差,还需从微震台网的优化布设方面解决.
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| 关 键 词： | 层状赋存 离层带 异向波速模型 到时残差 定位误差 遗传算法 爆破信号 强矿震信号 |
| 收稿时间： | 2011-07-08 |
Study on the construction and solution technique of anisotropic velocity model in the location of coal mine tremor |
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| GONG Si-Yuan
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DOU Lin-Ming
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MA Xiao-Ping
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MU Zong-Long
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HE Hu
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HE Jiang.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):1757-1763. |
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| Authors: | GONG Si-Yuan DOU Lin-Ming MA Xiao-Ping MU Zong-Long HE Hu HE Jiang |
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| Institution: | 1. School of Information and Electrical Engineering, China University of Mining and Technology, Xuzhou Jiangsu 221116, China;
2. State Key Laboratory of Coal Resources and Mine Safety, China University of Mining and Technology, Xuzhou Jiangsu 221116, China;
3. School of Mines, China University of Mining and Technology, Xuzhou Jiangsu 221116, China |
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| Abstract: | According to the characteristics of layered bedding strata and bed separation zone in coal mine,an anisotropic velocity model is built by two kinds of velocity,that is,one for underground sensor and the other for surface sensor,to form the velocity vector.In order to solve the vector,two objective functions of minimum arrival time residuals and minimum source location errors are created under two conditions with strong tremor signals only and also mixed with blasting signals.These objective functions are solved by the mixed algorithm combining genetic algorithm with CMEAS algorithm,which has good global search capability.The site application results show that the arrival time residual method using blasting signal only is the best,the next is the arrival time residual method using mixed blasting signal and strong tremor signal.Compared to the isotropic velocity model,the average source location error of verification blasting signals is reduced greatly.In order to further decrease the source location error,the microseismic network should also be optimized. |
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| Keywords: | Layered bedding strata Bed separation zone Anisotropic velocity model Arrival time residual Source location error Genetic algorithm Blasting signal Strong tremor signal |
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