Prediction of coal mine goaf self-heating with fluid dynamics in porous media

Liang, Yuntao; Wang, Shugang

doi:10.1016/j.firesaf.2016.12.002

Cited by 30 publications

(9 citation statements)

References 11 publications

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“…The danger of spontaneous fires for coal enterprises (mines, open-pit mines and processing plants) necessitates extensive studies of the conditions under which spontaneous combustion occurs [8][9][10][11][12][13][14]. The use of the developed methods for the prevention of spontaneous combustions has made it possible to significantly reduce the number of spontaneous fires that occurred in coal mines in recent years in Russia.…”

Section: Introductionmentioning

confidence: 99%

Study of the parameters of spontaneous fire seats in coal pit rock dumps

et al. 2021

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The presence of coal and coal-bearing rocks in waste rock dumps of open-pit coal mines contributes to the occurrence of spontaneous combustions that negatively affect the environment and people. Measurements of the temperature and the content of hazardous gases in the temperature anomaly that arose in the waste rock dump of the open-pit coal mine were made to assess the parameters of spontaneous fire seats. In the course of the study, the efficiency of detecting spontaneous fire seats in waste rock dumps was assessed by measuring the rock temperature in the wells with a depth of 2.5 m, drilled at a distance of 20 m from each other. The experiment showed the difficulty of drilling control wells in waste rock dumps and the impossibility of drilling them on the slopes of dumps, especially in spontaneous fire seats with a high rock temperature. The necessity of casing control wells with pipes makes it difficult to measure the rock temperature at different depths. It was found that there are sharp drops in the rock temperature in the heated area of the dump, which cannot be detected when the wells are located at the recommended distance. The measurements showed that in all wells the temperature increases with depth, therefore the depth of wells recommended by the regulatory documents does not allow determining the size of the heated area.

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Section: Introductionmentioning

confidence: 99%

Study of the parameters of spontaneous fire seats in coal pit rock dumps

et al. 2021

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“…Similarly, in all coal operation plants, 17% of the 91 fires are reported, and 17% of the 65 reported fires were from surface of underground coal mines [ 4 ]. In China, it is reported that 56% of all underground coal mines are likely to be affected by spontaneous combustion [ 5 ] and approximately 90% of mine fires are caused by spontaneous combustion. The issue of mine fire which does result from coal spontaneous combustion is a major problem in coal producing countries such as China, USA, India, Australia, Germany, and so on [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Logic for Predicting of Mine Fire in Underground Coal Mine

Danish

Önder

2020

Safety and Health at Work

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Background Spontaneous combustion of coal is one of the factors which causes direct or indirect gas and dust explosion, mine fire, the release of toxic gases, loss of reserve, and loss of miners' life. To avoid these incidents, the prediction of spontaneous combustion is essential. The safety of miner's in the mining field can be assured if the prediction of a coal fire is carried out at an early stage. Method Adularya Underground Coal Mine which is fully mechanized with longwall mining method was selected as a case study area. The data collected for 2017, by sensors from ten gas monitoring stations were used for the simulation and prediction of a coal fire. In this study, the fuzzy logic model is used because of the uncertainties, nonlinearity, and imprecise variables in the data. For coal fire prediction, CO, O 2 , N 2 , and temperature were used as input variables whereas fire intensity was considered as the output variable.The simulation of the model is carried out using the Mamdani inference system and run by the Fuzzy Logic Toolbox in MATLAB. Results The results showed that the fuzzy logic system is more reliable in predicting fire intensity with respect to uncertainties and nonlinearities of the data. It also indicates that the 1409 and 610/2B gas station points have a greater chance of causing spontaneous combustion and therefore require a precautional measure. Conclusion The fuzzy logic model shows higher probability in predicting fire intensity with the simultaneous application of many variables compared with Graham's index.

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“…Colaizzi developed a technology through cellular (foam containing) grout to mitigate coal fires in the gob area from the perspectives of prevention, control and extinguishment [20]. Liang and Wang proposed three numerical models for the solution of fluid dynamics and heat transfer issue in both longwall face and goaf, to evaluate the risk of the coal mine goaf self-heating hazard [21]. Lu et al analyzed the oxygen concentration distribution with Fluent, successfully applying the foam slurry technology to prevent and control spontaneous combustion of coal [22].…”

Section: Introductionmentioning

confidence: 99%

Research on complex air leakage method to prevent coal spontaneous combustion in longwall goaf

Wang

Tang

Wang³

et al. 2019

PLoS ONE

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Spontaneous combustion of coal is one of the major hazards threatening production safety during longwall mining. Mining-induced voids, which provide passages for air leakage, are the key factor triggering spontaneous combustion of coal in longwall goafs. In this study, a comprehensive method, which combined pressure balance, grouting injection, and filling fissures, was proposed to prevent spontaneous combustion of coal in longwall goafs with complex air leakage. Field engineering practice was carried out in Sitai Coal Mine in China. The results demonstrated that with the application of the proposed method, in the working face, the concentration of CO was decreased from 31ppm to 0 and the air leakage quantity was decreased from 261 to below 80 m 3 min -1 . The gas samples analysis from the gob areas also indicated that concentrations of O 2 and CO were successively decreased, indicating that the risk of spontaneous combustion of coal in goafs was eliminated. The above mentioned analysis indicates that, the method proposed in this study is useful and efficient. Successful application of this technology could provide reference for the treatment of other coal mines.

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Prediction of coal mine goaf self-heating with fluid dynamics in porous media

Cited by 30 publications

References 11 publications

Study of the parameters of spontaneous fire seats in coal pit rock dumps

Study of the parameters of spontaneous fire seats in coal pit rock dumps

Application of Fuzzy Logic for Predicting of Mine Fire in Underground Coal Mine

Research on complex air leakage method to prevent coal spontaneous combustion in longwall goaf

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