Skip to main content

Study on prediction method of gas emission rate in layered mining of extremely thick coal seam


The prediction of gas emission is an effective measure to prevent gas disasters. In view of the difficulty in predicting the amount of gas emission and the lack of prediction methods in the current horizontal sublevel caving of extremely thick coal seam, this paper takes the Baiqigou coal mine as the engineering background and analyzes the gas emission data during the mining of each horizontal sublevel face in section 2521. Based on the analysis of the data, the calculation model of gas emission coefficient of the first layer in the n-layer mining of extremely thick coal seam was established. This model is used to predict the amount of gas emission from the face of extremely thick coal seam that is exploited by the method of horizontal sublevel mining, and a prediction model for more than four layers is proposed. The results show that the prediction of gas emission from extremely thick coal seam, the relationship between the gas emission coefficient Kf, and the number of layers are exponential functions; this calculation model can determine the gas emission of each layer gas emission coefficient, through field verification and application prediction; the accuracy of this model is over 86%, which provides method reference for the prediction of gas emission in extremely thick coal seam, and has guiding significance for controlling gas emission during mining.

This is a preview of subscription content, access via your institution.

Fig. 1.


  1. Aguado MBD, Nicieza CG (2007) Control and prevention of gas outbursts in coal mines, Riosa–Olloniego coalfield, Spain. Int J Coal Geol 69(4):253–266

    Article  Google Scholar 

  2. Dong X, Jia J, Bai Y, Fan C (2016) Prediction for gas-gushing amount from the working face of stope based on the SVM coupling genetic algorithm. J Safety Environ 16(1):114–118

    Google Scholar 

  3. He Q (2016) Present research situation on gas emission prediction of working face and its developing trend. Min Safety Environ Prot 43(4):98–101

    Google Scholar 

  4. Hu X, Yang S, Liu WV, Zhou X, Sun J, Yu H (2017) A methane emission control strategy in the initial mining range at a spontaneous combustion-prone longwall face: a case study in coal 15, Shigang Mine, China. J Nat Gas Sci Eng 38:504–515

    Article  Google Scholar 

  5. Jia L, Hu S, Zhu G, Zhou F (2010) Comprehensive gas control technology in the first fully mechanized mining face of extra thick coal seam. Coal Technol 29(8):99–101

    Google Scholar 

  6. Jiang J, Cheng Y, Zhang P, Jin K, Cui J, Du H (2015) CBM drainage engineering challenges and the technology of mining protective coal seam in the Dalong Mine, Tiefa Basin, China. J Nat Gas Sci Eng 24:412–424

    Article  Google Scholar 

  7. Jin K, Cheng Y, Wang W, Liu H, Liu Z, Zhang H (2016) Evaluation of the remote lower protective seam mining for coal mine gas control: a typical case study from the Zhuxianzhuang Coal Mine, Huaibei Coalfield, China. J Nat Gas Sci Eng 33:44–55

    Article  Google Scholar 

  8. Karacan CÖ, Diamond WP, Schatzel SJ (2007) Numerical analysis of the influence of in-seam horizontal methane drainage boreholes on longwall face emission rates. Int J Coal Geol 72(1):15–32

    Article  Google Scholar 

  9. Karacan CÖ, Ruiz FA, Cotè M, Phipps S (2011) Coal mine methane: a review of capture and utilization practices with benefits to mining safety and to greenhouse gas reduction. Int J Coal Geol 86(2-3):121–156

    Article  Google Scholar 

  10. Li M, Chen Y (2000) Discussion on the law of gas emission in the top coal seam. Min Safety Environ Prot 27(4):39–40

    Google Scholar 

  11. Luo Y, Zhu Y, Wang H et al (2011) Application of separate source prediction method in gas emission prediction of thick coal seam. Coal Eng 3:87–89

    Google Scholar 

  12. Mishra DP, Panigrahi DC, Kumar P (2018) Computational investigation on effects of geo-mining parameters on layering and dispersion of methane in underground coal mines- a case study of Moonidih Colliery. J Nat Gas Sci Eng 53:110–124

    Article  Google Scholar 

  13. Safety SAoW (2006) Prediction Method of Mine Gas Emission, AQ1018-2006

  14. Su S, Beath A, Guo H, Mallett C (2005) An assessment of mine methane mitigation and utilisation technologies. Prog Energ Combust Sci 31(2):123–170

    Article  Google Scholar 

  15. Tutak M, Brodny J (2019) Forecasting methane emissions from hard coal mines including the methane drainage process. Energies 12(20)

  16. Wang L, Wang Z, Xu S, Zhou W, Wu J (2015) A field investigation of the deformation of protected coal and its application for CBM extraction in the Qinglong coalmine in China. J Nat Gas Sci Eng 27:367–373

    Article  Google Scholar 

  17. Wang X, Qin D, Zhang D, Guan W, Xu M, Wang X, Zhang C (2019) Evolution characteristics of overburden strata structure for ultra-thick coal seam multi-layer mining in Xinjiang East Junggar Basin. Energies 12(2)

  18. Zhang Z, Hou Z (2017) Research on gas control technology of thick coal seam layered mining based on the method of separate source prediction. Min Safety Environ Prot 44(1):78–82

    Google Scholar 

  19. Zheng C, Kizil MS, Chen Z, Aminossadati SM (2018) Role of multi-seam interaction on gas drainage engineering design for mining safety and environmental benefits: linking coal damage to permeability variation. Process Safety Environ Prot 114:310–322

    Article  Google Scholar 

  20. Zhou F, Xia T, Wang X, Zhang Y, Sun Y, Liu J (2016) Recent developments in coal mine methane extraction and utilization in China: a review. J Nat Gas Sci Eng 31:437–458

    Article  Google Scholar 

Download references

Author information



Corresponding author

Correspondence to Meng Zhang.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Responsible Editor: Murat Karakus

Rights and permissions

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Ji, C., Zhang, M. Study on prediction method of gas emission rate in layered mining of extremely thick coal seam. Arab J Geosci 14, 2046 (2021).

Download citation


  • Extremely thick coal seam
  • Layered mining
  • Prediction of gas emission rate
  • Stratified gas emission coefficient