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Research Article

Model development and analysis of dynamic gas emission from tunneling face zone

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Pages 10378-10394 | Received 26 Jan 2022, Accepted 14 Nov 2022, Published online: 28 Nov 2022
 

ABSTRACT

The prediction of dynamic gas emission is of important significance for the prevention of gas accidents. Currently, multifield coupling theory has been applied to gas drainage, but the physical model of gas emission calculation is underused. In our research, a thermo-hydro-mechanical coupled gas emission (THMGE) model was constructed and verified with the results of gas emission in three driven headings. Through calculation, the effects of temperature, time, gas pressure, and tunneling speed on gas emission were analyzed. The research results show that gas emission is controlled by the coupling of the gas migration field, coal stress field, and coal gas temperature field. It is calculated that when the starting temperature is 298–318 K, the average gas emission increases by 3.51–6.13% as the temperature increases by 5 K. For exposure times of 10, 50, and 100 h, the gas emission is 0.47, 0.31, and 0.25 times the starting value, respectively. When the gas pressure is 1.5 and 2.0 MPa, the gas emission is 1.62 and 2.24 times the gas pressure of 1.0 MPa. The correlation coefficient between the model and experimental data is 0.912–0.961 and is successfully applied in the project, which provides a theoretical basis for the control of gas accidents.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

This work was supported by the Guizhou Scientific Support Project [2021 General 514].

Notes on contributors

Chengmin Wei

Chengmin Wei is a PhD at the School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing. His research interest is mine coal gas prevention, gas extraction, and utilization.

Min Hao

Min Hao is a PhD at the School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing. His research interest focuses on coal mine gas numerical calculation and gas prevention.

Zhen Qiao

Zhen Qiao is a PhD at the School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing. His research interest is coal mine gas prevention, mine disaster monitoring, and early warning.

Jinglin Guo

Jinglin Guo is a MD at the School of Emergency Management and Safety Engineering, China University of Mining and Technology-Beijing. His research interest focuses on coal mine gas prevention.

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