地球物理学进展 ›› 2020, Vol. 35 ›› Issue (2): 598-607.doi: 10.6038/pg2020DD0105

• 应用地球物理学Ⅰ(油气及金属矿产地球物理勘探) • 上一篇    下一篇

微震震源定位研究现状及展望

李翔, 徐奴文   

  1. 四川大学水力学与山区河流开发保护国家重点实验室,成都 610065
  • 收稿日期:2019-05-16 修回日期:2019-12-23 出版日期:2020-04-20 发布日期:2020-04-30
  • 作者简介:李翔,男,1997年生,在读硕士生,主要从事岩石工程微震监测与预警研究.E-mail: civil201402@126.com
  • 基金资助:
    国家重点研发计划(2017YFC1501100);国家自然科学基金(51679158)

Research developments and prospects on microseismic source location

LI Xiang, XU Nu-wen   

  1. State Key Laboratory of Hydraulics and Mountain River Engineering, Sichuan University, Chengdu 610065, China
  • Received:2019-05-16 Revised:2019-12-23 Online:2020-04-20 Published:2020-04-30

摘要:

微震震源定位研究是微震监测技术研究的重点之一,定位精度的高低直接影响着微震分析的结果.随着微震监测技术的广泛应用,出现了大量新的微震震源定位方法,针对不同的工程研究,这些方法各有千秋.首先,通过收集并分析近20年来国内外比较盛行的微震震源定位方法,其包括混合优化法、震源扫描算法、波速模型法和无预先测速法.然后,讨论这些方法的优缺点及适用条件,并主要分析微震检波器分布、首次到时拾取、波速模型和定位算法对微震震源定位的影响.最后,讨论地球物理学、声学、军事学等领域已有的先进定位方法在微震震源定位研究的意义.结果表明:(1)优化传感器的布置,必须协调自动到时拾取、波速模型和定位算法之间的关系;(2)减小波速模型和首次到达时间对震源位置的影响是微震监测未来发展的必然要求;(3)采用射线追踪理论、逆时偏移成像和被动时间反转镜技术可对速度结构模型进行优化;(4)利用双波定位、信息融合技术可进一步提高定位精度;(5)其他领域的先进定位方法在微震震源定位研究上具有潜在价值,可以达到微震震源定位更快、更准、更稳定的目的.

关键词: 震源定位, 影响因素, 首波到时时间, 波速模型, 信息融合, 发展前景

Abstract:

The research of microseismic source location is one of the emphases of microseismic monitoring technology.With the wide application of microseismic monitoring technology, a large number of new microseismic source location methods appear.Firstly, the popular microseismic source localization methods at home and abroad in recent 20 years, including hybrid optimization method, Source Scanning Algorithm(SSA), wave velocity model method and no pre-measured velocity method, are collected and analyzed.Then, the advantages, disadvantages and applicable conditions of these methods are discussed, and the influence of microseismic detector distribution, first time pickup, wave velocity model and location algorithm on microseismic source location is analyzed.Finally, the significance of advanced localization methods in geophysics, acoustics, military science and other fields in the study of microseismic source localization is discussed.The results show that :(1) to optimize the sensor layout, it is necessary to coordinate the relationship between the automatic time pickup, wave velocity model and positioning algorithm;(2) reducing the influence of the wave velocity model and the first arrival time on the source location is an inevitable requirement for the future development of microseismic monitoring;(3) the velocity structure model can be optimized by using ray tracing theory, inverse time-offset imaging and passive time-reversal mirror technology;(4) dual-wave positioning and information fusion technology can further improve positioning accuracy;(5) advanced positioning methods in other fields have potential value in the study of microseismic source positioning, which can achieve the purpose of faster, more accurate and more stable microseismic source positioning.

Key words: Microseismic source location, Influence factor, First wave arrival time, Wave velocity model, Information fusion, Prospects for development

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