Sensitivity analysis of microseismic positioning accuracy based on distribution models of influencing factors

被引:0
|
作者
Gao, Yongtao [1 ]
Wu, Qingliang [1 ]
Wu, Shunchuan [1 ]
Yang, Kai [1 ]
Dou, Liping [1 ]
Yao, Pengfei [1 ]
机构
[1] Key Laboratory of the Ministry of Education of China for High-Efficient Mining and Safety of Metal Mines, School of Civil & Environment Engineering, University of Science and Technology Beijing, Beijing,100083, China
关键词
Errors;
D O I
10.11817/j.issn.1672-7207.2015.09.036
中图分类号
学科分类号
摘要
Based on microseismic positioning equation and minimum error principle, an input and output mathematical model for evaluating sensitivity of microseismic positioning accuracy was constructed. Distance error between microseismic sources and sensors, seismic wave velocity error and trigger times error were selected as analysis factors. Factor distribution fanction was discussed by using information entropy, and the corresponding expression was obtained by functional variation. Scheme of 16 groups was designed by using orthogonal method. Level value of each factor was given according to the factor distribution function. And the global sensitivity analysis was performed. The results show that three factors accord with uniform distribution in a given interval; for both the internal and external field sources, seismic wave velocity error is the most influential factor that affects the positioning results, and the significant order from big to small of influence on positioning accuracy is Ve, Te and De. For internal field source, all three factors have some significant influence on positioning accuracy; while for the external field source, only the seismic wave velocity error has some significant influence on positioning accuracy, which may probably be affected by the interaction between the factors or experimental errors. The research conclusions may offer specific guidance for the accurate location analysis of microseismic monitoring in the similar projects. © 2015, Central South University of Technology. All right reserved.
引用
收藏
页码:3429 / 3436
相关论文
共 50 条
  • [21] Analysis of Influencing Factors on Forecast Accuracy of ensemble learning
    Guo Fu-liang
    Zhou Gang
    2017 10TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL. 1, 2017, : 37 - 42
  • [22] Analysis of factors influencing accuracy in the drawing of round rods
    Kampus, Z
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 1999, 87 (1-3) : 90 - 96
  • [23] SAMPLING FACTORS INFLUENCING ACCURACY OF SPERM KINEMATIC ANALYSIS
    OWEN, DH
    KATZ, DF
    JOURNAL OF ANDROLOGY, 1993, 14 (03): : 210 - 221
  • [24] Spatial distribution and influencing factors of microseismic events in unequal-length mining faces in coal mines
    Zhou J.
    Yang H.
    Gao J.
    Meitiandizhi Yu Kantan/Coal Geology and Exploration, 2024, 52 (06): : 128 - 136
  • [25] EXAMINATION OF SEVERAL FACTORS INFLUENCING THE SENSITIVITY AND ACCURACY OF BORON DETERMINATION BY CARMINIC ACID
    SAMSONI, Z
    SZELECZKY, AM
    MAGYAR KEMIAI FOLYOIRAT, 1981, 87 (05): : 231 - 234
  • [26] Sensitivity Analysis of Factors Influencing Coal Prices in China
    Lyu, Jingye
    Li, Chong
    Zhou, Wenwen
    Zhang, Jinsuo
    MATHEMATICS, 2024, 12 (24)
  • [27] FACTORS INFLUENCING POWER PLANS: A SENSITIVITY ANALYSIS FOR ALGERIA
    Haddah, Brahim
    Liazid, Abdelkrim
    Ferreira, Paula
    PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON PROJECT EVALUATION (ICOPEV 2016), 2016, : 119 - 125
  • [28] Population Distribution and Influencing Factors Based on ESDA
    Chen, Lv
    Jie, Fan
    Wei, Sun
    CHINESE JOURNAL OF POPULATION RESOURCES AND ENVIRONMENT, 2012, 10 (03) : 47 - 53
  • [29] Population Distribution and Influencing Factors Based on ESDA
    Lv Chen1
    2.Institute of Geographic Sciences and Natural Resources Research
    ChineseJournalofPopulation,ResourcesandEnvironment, 2012, (03) : 47 - 53
  • [30] An analysis of positioning accuracy based on Fisher information matrix for distance-based positioning
    Fujii, Masahiro
    IEICE COMMUNICATIONS EXPRESS, 2024, 13 (12): : 479 - 482