Rock burst assessment in multi-seam mining: a case study

Original Paper
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Abstract

To assess rock burst prone zones in the lower seam during multi-seam mining, a rock burst hazard assessment method for use in multi-seam mining was established. According to the observed geological evolution, the feasibility of using upper layer coal mining data to determine the rock burst risk zone of the lower coal seam is explained. Then, we established the energy density risk index (EDRI) and proved that the EDRI more accurately reflected the potential rock burst region than the multi-factor coupling analysis method. Finally, we established the rock burst hazard assessment method for use in multi-seam mining by using the EDRI of the upper coal to divide the rock burst risk zone in the lower coal. From the accuracy and validity analysis of this assessment method, we find that the critical energy induced rock burst, and the damage area of a rock burst in the lower coal seam were all located in the high-risk zone derived from this assessment method. To quantify the effectiveness and practicability of this assessment method, the structural similarity (SSIM) index, from image quality assessment research, was introduced. The SSIM index between predicted-high-risk map and actual high-risk map index was 0.8581, which shows that the established rock burst hazard assessment method in multi-seam mining can be used to predict rock burst risk zones in the lower seam.

Keywords

Energy density risk index (EDRI) Structural similarity (SSIM), multi-coal seam Rock burst risk zone assessment 

Notes

Acknowledgment

We extend special thanks to the team at Zhangshuanglou coal mine, who provided the micro seismic data and the local geological information. We gratefully acknowledge the financial support for this work provided by the National Natural Science Foundation of China (Grant no. 51404269), the Fundamental Research Funds for the Central Universities (Grant no. 2014ZDPY09), the Key Research Development Program of Jiangsu Province (Grant no. BE2015040), the State Key Research Development Program of China (Grant no. 2016YFC0801403), and the Research Innovation Program for College Graduates of Jiangsu Province (Grant no. KYLX16_0561), the Research Innovation Program for College Graduates of Jiangsu Province(Grant no. KYLX16_0556).

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Copyright information

© Saudi Society for Geosciences 2017

Authors and Affiliations

  • Wei Shen
    • 1
    • 2
  • Lin-ming Dou
    • 1
    • 2
  • Hu He
    • 3
  • Guang-an Zhu
    • 1
    • 2
  1. 1.Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China, School of MinesChina University of Mining & TechnologyXuzhouChina
  2. 2.School of MinesChina University of Mining and TechnologyXuzhouChina
  3. 3.School of Resources and Earth ScienceChina University of Mining and TechnologyXuzhouChina

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