Influence Mechanism of Mine Pressure on Coal Seam Gas Emission During Mining

Hu, Chaowen; Li, Qian; Wang, Yilong; Li, Yongyuan; Wang, Yaqian; Chang, Ke

doi:10.1007/s10706-022-02078-w

Cited by 5 publications

(3 citation statements)

References 21 publications

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“…The research on mining pressure predictions and mining pressure behavior laws has important theoretical guiding significance for coal mining enterprises in controlling dynamic pressure accidents, such as roof breakages and rock bursts (Hu et al, 2022;Miao et al, 2022). Therefore, monitoring and predicting the mining pressure is very important.…”

Section: Introductionmentioning

confidence: 99%

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Dong

Xie²,

Jiang³

et al. 2023

Front. Earth Sci.

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Introduction: In the coal mining process, the intense mining pressure is an important factor hindering the safe and efficient production of the working face. In severe cases, it causes deformations in roadways such as roof breakages and rockbursts, and leads to instability. This can result in the roof falling over a large area and the coal wall, thereby inducing dynamic disasters. These aspects have restricted the economic benefits of coal.Methods: In this study, we set four model limitations based on the limited scope of action of the mining pressure itself and the quantitative relationships between mining pressures in different regions. A multiple linear regression model with these limitations is proposed for predicting the mining pressure for preventing roof breakages and rockbursts. Based on a hydraulic support monitoring dataset from a fully mechanized caving face of coal mining, the mining pressure prediction model is trained by using the first 70% of the dataset. And the linear regression coefficient of the model and the predicted value of the mining pressure are obtained. Then, the last 30% of the dataset was used for the validation of the model.Results: The research results show that the constrained multiple linear regression model can achieve remarkable prediction results. According to predictions of tens of thousands of on-site mining pressure datasets, the predicted data and actual pressure data have the same change trend and maintain a low relative error.Discussion: Therefore, after real-time mining pressure monitoring, the system obtains the roof pressure of the fully mechanized mining face. According to the dataset, the proposed prediction model algorithm quickly predicts the roof pressure value of the next mining section and effectively forewarns roof breakages and other accidents.

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Section: Introductionmentioning

confidence: 99%

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Dong

Xie²,

Jiang³

et al. 2023

Front. Earth Sci.

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“…To date, research on key mining strata deformation, overburden migration, load transfer and mining fracture evolution has changed from macroresearch on the whole process to microresearch on local and staged mining [21][22][23][24][25]. The descriptions of the deformation characteristics of the overlying strata under mines and the laws of gas emissions are mainly focused on the normal mining stage [26][27][28][29]. The study of the decisive mechanisms of mining stress transfer and surrounding rock fissure evolution on abnormal gas emissions in the special stage of initial mining must be further deepened [30,31].…”

Section: Introductionmentioning

confidence: 99%

Fracture Evolution Characteristics and Deformation Laws of Overlying Strata during the Initial Period of Longwall Mining: Case Study

Sun

et al. 2023

Sustainability

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Coal mining causes overlying rocks to collapse and be destroyed. Overburdened crevasses provide a channel for gas discharge, which is a serious safety hazard. To study the evolution characteristics and migration pattern of overburdened fissures during the initial mining period, the 24207 working face of the Shaquan mine was used as a research object. Through similar physical simulation tests, a mechanical model of the mining structure during the initial mining period was constructed to explore the factors influencing the movement pattern of the overburden strata during the initial mining period. The research results show that the evolution of mining-induced fractures in the overburdened strata in the initial mining period mainly experience the slow and rapid rising stages of the fracture dimension, while the stable mining period is in the stable development stage of the fracture dimension. The research results will help supplement and improve the theory of gas disaster prevention and comprehensive resource utilization in the initial mining stage under the mining conditions of high gas and low permeability coal seam group, achieve the goal of “coal and gas co-mining”, and ensure the safe and efficient production of mines.

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“…4 The gas emission of coal mining has been extensively studied. Hu et al 5 believed that the advance support pressure affected the coal seam gas emission by affecting the permeability coefficient of the coal seam. They reported that the permeability coefficient of the coal seam decreased, and thus, the gas emission decreased with the increase of the support pressure.…”

Section: Introductionmentioning

confidence: 99%

Studies on the Influencing Factors of Gas Emission in a Steeply Inclined and Ultrathick Coal Seam Working Face

Wang

Fan

et al. 2022

ACS Omega

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To determine the factors affecting the gas emission in the working face during the horizontal sublevel mining of steeply inclined and ultrathick coal seams (SIUTCSs), the gas emission sources were identified and evaluated using the analytic hierarchy process (AHP), and the gas emission quantity was calculated using a prediction model. Sobol sensitivity analysis was then conducted on the influencing factors involved in the model to determine their influences on the working face gas emission. The AHP analysis found that the pressure relief area in the lower section is the main gas emission source of the working face, and the adjacent coal seams, old goaf, and rear goaf are not. The gas emission prediction model exhibits good accuracy. The calculation results suggest that the gas released from the lower section coal body accounts for 44.16−50.44% of the total gas emission quantity of the working face, and thus, it is the main gas emission source. The Sobol sensitivity analysis reveals that the dip angle of the coal seam has the greatest influence on the absolute gas emission quantity of the working face with a significantly larger sensitivity than those of other factors. The comprehensive sensitivity data analysis also suggests that the lower section coal body is the major contributor to the gas emission of the working face. Our work further puts forward a technical system of ultrahigh pressure hydraulic "drilling−slitting−pressing−draining" integrated antireflection enlarged gas extraction for controlling the gas emission from the coal body at the bottom of the SIUTCS. The engineering test demonstrates that this system can increase the permeability of the coal body and significantly improve the gas extraction efficiency of the coal body in the study area.

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Influence Mechanism of Mine Pressure on Coal Seam Gas Emission During Mining

Cited by 5 publications

References 21 publications

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Multiple regression method for working face mining pressure prediction based on hydraulic support monitoring dataset

Fracture Evolution Characteristics and Deformation Laws of Overlying Strata during the Initial Period of Longwall Mining: Case Study

Studies on the Influencing Factors of Gas Emission in a Steeply Inclined and Ultrathick Coal Seam Working Face

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