276 / 2018-04-24 19:07:13
Automated determination and optimization method of microseismic P-phase arrival times in steps
arrival time picking,microseismic,band pass filtering,AIC,MER
Final Paper
博士 朱 / 华北科技学院
LIU XIAOHUI / North China Institute of Science and Technology
LIU XIAOYUN / Wuhan University of Science and Technology
OUYANG ZHENHUA / North China Institute of Science and Technology
We present an algorithm for P-phase arrival time automatic determination and optimization for seismic events of coal mine in steps. For P-phase detection we apply four modules: single denoising (band-filter), fast searching (STA/LTA and peak value), accurately picking (AIC and MER) and optimization selection (time difference of arrival time and envelope circle judgment). This method is applied for a precise determination of P-phase arrival time, in additional, an automatic quality estimate is obtained to optimize and select the effective stations and be used for source location. Through the analysis and validation of seismic data in a mine located in Hebei province, the result shows that this method can pick up the first arrival time of MS signal fast and accurately, and automatically judge and remove the error station. Compared manual and automatic picks in terms of speed and accuracy, computation cost (0.039 s) is far less than manual method (3 min), precision of manual and automatic represented by picking error of between -10 ms and 10 ms is up to 62.5%. This study shows, that the method presented in this paper is feasible to precise automatic P-phase determination, and is a basis on automatic and precision location.
Important Date
  • Conference Date

    Oct 22

    2018

    to

    Oct 24

    2018

  • May 31 2018

    Abstract Submission Deadline

  • Jul 05 2018

    Draft paper submission deadline

  • Aug 10 2018

    Draft Paper Acceptance Notification

  • Oct 24 2018

    Registration deadline

Sponsored By
University of Science and Technology Beijing
McGill University
China University of Mining and Technology (Beijing)
Henan Polytechnic University
Notheastern University
Chongqing University
China University of Mining and Technology
Laurentian University
University of Wollongong
Liaoning Technical University
Xi’an University of Science and Technology
North China University of Technology
Jiangxi University of Science and Technology
Heilongjiang University of Science and Technology
Supported By
中国职业安全健康协会
中国安全生产科学研究院
煤炭信息研究院
中安安全工程研究院
International Journal of Mining Science and Technology
Safety Science
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