基于VFOM的矿山微震震源定位及近震震级标定

王泽伟; 李夕兵; 尚雪义; 董陇军; 刘栋; 周勇勇

doi:10.11779/CJGE201708007

基于VFOM的矿山微震震源定位及近震震级标定 English Version

王泽伟^{1, 2},
李夕兵^{1, 2},
尚雪义^{1, 2},
董陇军^{1, 2},
刘栋^{1, 2},
周勇勇^{1, 2}

1. 中南大学资源与安全工程学院,湖南长沙 410083;
2. 中南大学深部金属矿产开发与灾害控制湖南省重点实验室,湖南长沙 410083

基金项目: 国家自然科学基金项目（41272304,11472311,51504288）; 湖南省研究生科研创新项目（CX2015B052）

详细信息

作者简介:
王泽伟(1989- ),男,博士研究生,主要从事矿山微震和天然地震成像方面的研究工作。E-mail：wangzw.csu@gmail.com。

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出版历程
- 收稿日期: 2016-06-29
- 发布日期: 2017-08-24

VFOM-based source location and local magnitude calibration for micro-seismic events in mine

WANG Ze-wei^{1, 2},
LI Xi-bing^{1, 2},
SHANG Xue-yi^{1, 2},
DONG Long-jun^{1, 2},
LIU Dong^{1, 2},
ZHOU Yong-yong^{1, 2}

1. School of Resources and Safety Engineering, Central South University, Changsha 410083, China;
2. Hunan Key Laboratory of esources Exploitation and Hazard Control for Deep Metal Mines, Central South University, Changsha 410083, China

摘要

摘要: 矿山微震事件震源位置和近震震级是矿震最基本的参数,其准确计算对矿震事件分析与信息挖掘具有重要作用。介绍了一种有别于传统定位思路的定位方法—虚拟场优化法（virtual field optimization method, VFOM）,并给出了以台站计算震级偏差最小为目标的近震震级公式回归方法。将VFOM和近震震级参数回归方法用于开阳磷矿用沙坝矿区401个微震事件的震源定位和近震震级公式的重新标定。结果表明,定位结果可靠,重新标定震级公式得到的震级台站偏差相比于现有公式有明显的减小。此外,采用标定震级公式计算的震级分布观察到了明显的双峰分布现象,表明用沙坝矿的微震数据可能由两种成因的事件构成。实例表明,不同地区的近震震级计算公式必须根据实测数据重新标定,否则将可能丢失一些重要的震级分布特征。
- 矿山 /
- 微震 /
- 震源定位 /
- 近震震级 /
- 虚拟场优化法 /
- 起算函数
Abstract: As the most basic source parameters, locations and local magnitudes of micro-earthquakes are of importance to the analysis and interpretation of micro-seismic data so that their accuracies are crucial. This study introduces a source location method called the virtual field optimization method (VFOM) and provides a parameter regression method which minimizes the station variance for an optimal local magnitude formula. The occurrence sources of a data set consisting of 401 events from the Yongshaba deposit of Kaiyang Mine are located using the VFOM, and an optimal local magnitude formula is regressed using the suggested method in this study. The results show that the locations are reliable and the station variances are significantly reduced. In addition, the bimodal characteristic is observed from the magnitude distribution obtained by the derived formula, indicating two different causes of the micro-seismic data. This study also demonstrates that the local magnitude formula should be regressed using the measured data for a new area, otherwise the magnitude distribution may lose some important characteristics.
- mine /
- micro-seism /
- source location /
- local magnitude /
- virtual field optimization method /
- calibration function

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