Modeling and Inversion of Complex 3D Geologic Field Stress and Its Application in Rockburst Evaluation

  • Quanjie Zhu
  • Jinhai Liu
  • Linsheng Gao
  • Zhihua Chen
  • Xiaohui Liu
Conference paper

Abstract

Geostress is the basis for mining and geotechnical engineering designs, and dynamic disaster preventions. And the geostress inversion is a mathematical procedure that to calculate and extend the geostress field distribution base on a handful of measurement results. In order to make use of fine distribution characteristics of geostress field to evaluate the rock burst risk in a target area, this study carried out corresponding research contents for a deep mine in Shandong Province: (1) Conducted site measurements of geostress by means of hollow inclusion method; (2) Developed a complex 3D geological model based on multi-software to inverse and reconstruct the complex geostress fields coupled with multiple linear regression (MLR); (3) Compared the microseismic monitoring results with 3D geological model nephogram and provide theoretical basis for rock burst risk evaluation and regionalization in target area. Results showed that the reconstitution of 3D geological model gave well agreement with experimental results. The geostress evaluated results of 3D model of were consistent with the actual rock burst risk situation. The rapid constructed 3D geological model construction was expected to provide a certain reference meanings for geostress analysis to similar mines.

Keywords

In-situ stress Modeling and inversion Hollow inclusion Evaluation Microseismic 

Notes

Acknowledgment

The authors gratefully acknowledge financial support from the National Natural Science Foundation of China (No. 51604115, 51504096), the Fundamental Research Funds for the Central Universities (3142017002), the Technology Project and Self-financing Foundation of Hebei Province (No. 16275512) and the Project of Langfang Key Technology Research and Development Program, China (Grant No. 2016013116).

References

  1. Cai, M., Liu, W., Li, Y.: In-situ stress measurement at deep position of Linglong gold mine and distribution law of in-situ stress field in mine area. Chin. J. Rock Mech. Eng. 29(2), 227–233 (2010)Google Scholar
  2. Chen, Z., Chen, L., Ji, H.: Geostress field fitting based on the partial least square method. J. Univ. Sci. Technol. Beijing 35(1), 1–7 (2013)Google Scholar
  3. Kang, H., Lin, J., Zhang, X.: Research and application of in-situ stress measurement in deep mines. Chin. J. Rock Mech. Eng. 26(5), 929–933 (2007)Google Scholar
  4. Luo, C., Li, H., Liu, Y.: Study of distributing characteristics of stress in surrounding rock masses and in-situ stress measurement for deeply buried tunnels. Chin. J. Rock Mech. Eng. 29(7), 1418–1423 (2010)Google Scholar
  5. Monjezi, M., Hesami, S.M., Khandelwal, M.: Superiority of neural networks for pillar stress prediction in board and pillar method. Arab. J. Geosci. 4(5), 845–853 (2011)CrossRefGoogle Scholar
  6. Matsuki, K., Kaga, N., Yokoyama, T., et al.: Determination of three-dimensional in-situ stress from core discing based on analysis of principal tensile stress. Int. J. Rock Mech. Min. Sci. 41(7), 1167–1190 (2004)Google Scholar
  7. Manouchehrian, A., Sharifzadeh, M., Moghadam, R.H.: Application of artificial neural networks and multivariate statistics to estimate UCS using textural characteristics. Int. J. Min. Sci. Technol. 22(2), 229–236 (2012)CrossRefGoogle Scholar
  8. Pei, Q., Li, H., Liu, Y., et al.: Two-stage back analysis of initial geostress field of dam areas under complex geological conditions. Chin. J. Rock Mech. Eng. 33(S1), 2779–2785 (2014)Google Scholar
  9. Qiu, X., Li, S., Li, S.: 3D geostress regression analysis method and its application. Chin. J. Rock Mech. Eng. 22(10), 1613–1617 (2003)Google Scholar
  10. Wang, J., Li, F.: Review of inverse optimal algorithm of in-situ stress and new achievement. J. China Univ. Min. Technol. 44(2), 189–205 (2015)Google Scholar
  11. Xiang, P., Ji, H., Zou, J., et al.: An automation platform for generating the 3D numerical grids of mining fields with complex geomorphology. Rock Soil Mech. 36(4), 1211–1216 (2015)Google Scholar
  12. Yuan, H., Wang, J., Cai, M.: Geometric cross-scale back-analysis and reconstruction method for complicated geo-stress field. J. Min. Saf. Eng. 28(4), 589–595 (2011)Google Scholar
  13. Zhang, Y., Song, C., Cai, M., et al.: Geostress measurements by hydraulic fracturing method at great depth of boreholes and numerical modelling predictions of stress field. Chin. J. Rock Mech. Eng. 29(4), 778–786 (2010)Google Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Quanjie Zhu
    • 1
    • 2
  • Jinhai Liu
    • 1
    • 2
  • Linsheng Gao
    • 1
  • Zhihua Chen
    • 3
  • Xiaohui Liu
    • 1
  1. 1.School of Safety EngineeringNorth China Institute of Science and TechnologyBeijingChina
  2. 2.Hebei State Key Laboratory of Mine Disaster PreventionNorth China Institute of Science and TechnologyBeijingChina
  3. 3.School of EnvironmentHenan Normal UniversityXinxiangChina

Personalised recommendations