The Improved Drilling Cutting Method and Its Engineering Applications

  • Qiyuan ShanEmail author
  • Tao Qin
Original Paper


Drilling cutting method is a common method to predict rock burst based on the quantitative relationship between drilling cuttings and coal body stress, but it is restricted by some factors in mining process. The drilling depth is failure to reach the stress concentration area, the drilling cuttings can not reflect the stress accumulation area and can not predict the rock burst effectively. In order to overcome the limitation and lag of drilling cuttings, the improved drilling cutting method based on drilling cuttings and its variation is proposed. Taking the No. 3302 working face of Xingcun Coal Mine as the engineering background, the improved drilling cutting method is applied. And the result of the the improved drilling cutting method is consistent with the results of field microseismic monitoring. The obtained results show that the improved drilling method can improve the predicted capabilities of the rock burst and provide a novel insight to prevent the occurrence of rock burst.


Rock burst Drilling cutting method Drilling cuttings Improved drilling cutting method 



This research was supported by the National Natural Science Foundation of China (No. 51604100).


  1. Cao YX, Davis A, Liu RX et al (2003) The influence of tectonic deformation on some geochemical properties of coals-a possible indicator of outburst potential. Int J Coal Geol 53(2):69–79CrossRefGoogle Scholar
  2. Casten U, Fajklewicz Z (2010) Induced gravity anomalies and rock-burst risk in coal mines: a case history. Geophys Prospect 41(1):1–13CrossRefGoogle Scholar
  3. Chen XH, Li WQ, Yan XY (2012) Analysis on rock burst danger when fully-mechanized caving coal face passed fault with deep mining. Safety Sci 50(4):645–648CrossRefGoogle Scholar
  4. Cheng YH, Jiang FX, Hu ZF et al (2016) Prevention and control of coal burst on gob-side entry in deep coal seam with fully mechanized sublevel caving mining. Chin J Rock Mech Eng 35(S1):3000–3007Google Scholar
  5. Dou LM, He XQ, He H, Jiang He et al (2014) Spatial structure evolution of overlying strata and inducing mechanism of rockburst in coal mine. T Nonferr Metal Soc 24(4):1255–1261CrossRefGoogle Scholar
  6. Feng GL, Feng XT, Chen BR et al (2015) A microseismic method for dynamic warning of rockburst development processes in tunnels. Rock Mech Rock Eng 48(5):2061–2076CrossRefGoogle Scholar
  7. Gu ST, Wang CQ, Jiang BY et al (2012) Field test of rock burst danger based on drilling pulverized coal parameters. Disaster Adv 5(4):237–240Google Scholar
  8. Hajiabdolmajid V, Kaiser PK, Martin CD (2002) Modeling brittle failure of rock. Int J Rock Mech Min 39(6):731–741CrossRefGoogle Scholar
  9. Li XH, Pan F, Li HZ et al (2016) Prediction of rock-burst-threatened areas in an island coal face and its prevention: a case study. Int J Min Sci Technol 26(6):1125–1133CrossRefGoogle Scholar
  10. Lu YY, Liu Y, Li XH et al (2010) A new method of drilling long boreholes in low permeability coal by improving its permeability. Int J Coal Geol 84(2):94–102CrossRefGoogle Scholar
  11. Lu CP, Dou LM, Zhang N et al (2013) Microseismic frequency-spectrumevolutionary rule of rockburst triggered by roof fall. Int J Rock Mech Min Sci 64:6–16CrossRefGoogle Scholar
  12. Lv JG, Jiang YD, Zhao YX et al (2013) Hierarchical monitoring for coal bumps and its study and application of early warning methods. J China Coal Soc 38(38):1161–1167Google Scholar
  13. Pan YS, Ling ZH, Zhang MT (2003) Distribution, type, mechanism and prevention of rockbrust in china. Chin J Rock Mech Eng 22(11):1844–1851Google Scholar
  14. Pan JF, Mao DB, Xia YX et al (2012) Probing into the main occurred areaand period of rockburst based on precursory monitoring of associ-ated factors. Chin J Rock Mech Eng 31:1650–1656Google Scholar
  15. Qu XC, Jiang FX, Yu ZX et al (2011) Rockburst monitoring and precaution technology based on equivalent drilling research and its applications. Chin J Rock Mech Eng 30(11):2346–2351Google Scholar
  16. Tan YL, Yin YC, Gu ST et al (2015) Multi-index monitoring and evaluation on rock burst in yangcheng mine. Shock Vib 2015:(2015-5-21) 2015(2), 1–5Google Scholar
  17. Tanaino AS, Lipin AA (2004) State and prospects of the percussive-rotary blasthole drilling in quarries. J Min Sci 40(2):188–198CrossRefGoogle Scholar
  18. Wolf KA, Bergen FV, Ephraim R et al (2008) Determination of the cleat angle distribution of the recopol coal seams, using ct-scans and image analysis on drilling cuttings and coal blocks. Int J Coal Geol 73(3):259–272CrossRefGoogle Scholar
  19. Xie HP, Peng RD, Ju Y (2004) Energy dissipation of rock deformation and fracture. Chin J Rock Mech Eng 23(21):3565–3570Google Scholar
  20. Yan P, Zhao ZG, Lu WB et al (2015) Mitigation of rock burst events by blasting techniques during deep-tunnel excavation. Eng Geol 188:126–136CrossRefGoogle Scholar
  21. Yin GZ, Li XQ, Zhao HB et al (2010) In-situ experimental study on the relation of drilling cuttings weight to ground pressure and gas pressure. J Univ Sci Technol Beijing 32(1):1–7Google Scholar
  22. Yu Z, Jiang F, Qu X et al (2011) Study on real-time monitoring and pre-warning system of rock burst based on equivalent drilling cuttings quantity. Achievements and Ambitions, Rock Mechanics, pp 895–899Google Scholar
  23. Zhai C, Xu JZ, Liu SM et al (2018) Investigation of the discharge law for drill cuttings used for coal outburst prediction based on different borehole diameters under various side stresses. Powder Technol 325:396–404CrossRefGoogle Scholar
  24. Zhang MT, Xu ZH, Pan YS (1991) A united instability theory on coal (rock) burst and outburst. J China Coal Soc 04:48–53Google Scholar
  25. Zhao YX, Jiang YD, Wang T et al (2012) Features of microseismic eventsand precursors of rock burst in underground coal mining with hardroof. J China Coal Soc 37(12):1960–1966Google Scholar
  26. Zhao GB, Wang DY, Gao B et al (2016) Modifying rock burst criteria based on observations in a division tunnel. Eng Geol 216:153–160CrossRefGoogle Scholar

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.College of Mining EngineeringHeilongjiang University of Science and TechnologyHarbinChina

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