A risk assessment method to quantitatively investigate the methane explosion in underground coal mine

Shi, Long; Wang, Jinhui; Zhang, Kevin; Cheng, Xudong; Zhao, Xianbo

doi:10.1016/j.psep.2017.02.023

Cited by 66 publications

(19 citation statements)

References 23 publications

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“…A fault tree may reveal the main causes of an accident and provide a basis for determining safety measures by subsequent qualitative and quantitative analysis of the tree. Fault tree analysis has been applied to explosion assessments in oil storage tanks [ 13 ], methane operations [ 14 , 15 ], air pollution-related fields [ 16 ] and traffic accidents [ 17 – 19 ]. The present study marks the first time that fault tree analysis has been introduced into sand casting safety assessment.…”

Section: Introductionmentioning

confidence: 99%

Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model

Yao

et al. 2018

R. Soc. open sci.

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Sand casting operations, though commonplace, pose a significant threat of explosion accidents. This paper presents a novel sand casting safety assessment technique based on fault tree analysis, Heinrich accident triangle, hazard and operability–layer of protection analysis (HAZOP–LOPA) and bow tie model components. Minimal cut sets and minimal path sets are first determined based on fault tree analysis, then the frequency of sand casting explosion accidents is calculated based on the Heinrich accident triangle. Third, the risk level of venting quality can be reduced by adopting HAZOP–LOPA; the residual risk level of venting quality remains excessive even after adopting two independent protective layers. The bow tie model is then adopted to determine the causes and consequences of venting quality. Five preventative measures are imposed to enhance the venting quality of foundry sand accompanied by 16 mitigative safety measures. Our results indicate that the risk attributable to low foundry sand venting quality can be minimized via bow tie analysis.

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Section: Introductionmentioning

confidence: 99%

Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model

Yao

et al. 2018

R. Soc. open sci.

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“…Methane emission into the working areas of a mine may lead to dangerous events related to methane ignition or explosion [4,27,31,36,37,42]. There is a high risk of a methane explosion in the world mining industry.…”

Section: State Of Methane Hazard In Polish Coal Minesmentioning

confidence: 99%

“…Natural mine hazards associated with seam gas emission, heat and dust are, to various degrees, production-dependent. The risk of dangerous events may increase in the future if the mines strive to improve production by concentrating mining works in one mining region [31,37,40].…”

Section: Introductionmentioning

confidence: 99%

Enhancing Safety in the Polish High-Methane Coal Mines: an Overview

Szlązak

Obracaj

Swolkień

2020

Mining, Metallurgy & Exploration

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Polish coal mines are characterized by severe geological conditions and the co-occurrence of natural hazards. These hazards are associated with methane and dust emissions during mining processes which can provide methane, dust or methane-dust explosions. Besides, there are such natural hazards as gas and rock outbursts, rock bursts, spontaneous combustion of coal and environmental heat load. The mutual influences of various geological conditions, as well as the natural hazards, intensify the increase of the methane explosion hazard. The occurrence of methane explosions in the Polish mining industry between 2013 and 2108 are analyzed. Fatal accidents are compared with similar events in the global mining industry. The methods of preventing the explosion hazard as well as methane emission control in the Polish coal mining sector are presented. Methane hazard prevention should be adapted to levels and other natural hazards, especially those related to ventilation of underground mine. The methods of preventing methane emissions into mine excavations are often contrary to the means of preventing other ventilation-related hazards in the underground mine, e.g. the prevention of spontaneous combustion of coal in the goaf of longwall panel. Therefore, the design of longwall panels should be preceded by a detailed analysis of the results of both methane emission prediction and forecast of other ventilation-related hazards.

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“…The coal mining accident causal factors system is characterized by multiple layers, complexity, dynamics, and mutual interaction (Y. Wang, Lu, & Zuo, ). Causal factors include overt factors, such as illegal blasting (Yin et al, ), smoking (Shi, Wang, Zhang, Cheng, & Zhao, ), and operating in risky conditions (Chen, Qi, Long, & Zhang, ), and latent factors, such as inadequate supervision (Liu, Li, & Guan, ; Ren, Gai, & Yang, ; Runtao, ), command violations (Grayson, Kinilakodi, & Kecojevic, ; Qi, Zhang, Chen, & Liu, ), rules and regulations (Kumar, Gupta, Agarwal, & Singh, ), and the safety culture (Seo, Lee, Kim, & Jee, ; Y. Zhang et al, ). At present, many researchers explore the overt or latent aspects separately, whereas few researchers integrate the two aspects into a systematic framework for comprehensive analysis.…”

Section: Introductionmentioning

confidence: 99%

“…Wang, Lu, & Zuo, 2015). Causal factors include overt factors, such as illegal blasting (Yin et al, 2017), smoking (Shi, Wang, Zhang, Cheng, & Zhao, 2017), and operating in risky conditions (Chen, Qi, Long, & Zhang, 2012), and latent factors, such as inadequate supervision (Liu, Li, & Guan, 2014;Ren, Gai, & Yang, 2011;Runtao, 2013), command violations (Grayson, Kinilakodi, & Kecojevic, 2009;Qi, Zhang, Chen, & Liu, 2016), rules and regulations (Kumar, Gupta, Agarwal, & Singh, 2016), and the safety culture (Seo, Lee, Kim, & Jee, 2015;Y. Zhang et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

The hybrid systems method integrating human factors analysis and classification system and grey relational analysis for the analysis of major coal mining accidents

et al. 2018

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The coal mine safety situation remains grim in China. This study proposed a hybrid systems method integrating the human factors analysis and classification system and grey relational analysis to determine the key factors causing coal mine casualties. The method was applied to analyse 94 coal mining accidents from 1997 to 2011, and the results were as follows. (a) Among the five levels, “unsafe acts” has the highest grey relational grade with accident casualties, followed by “preconditions for unsafe acts,” “organizational influences,” “unsafe supervision,” and “external factors.” (b) Among all categories, “inadequate supervision” has the closest relationship with accident casualties, followed by “violations,” “environmental factors,” and “errors.” (c) “Naked fire in flammable and explosive places” and “untimely accident handling or improper handling measures” are important indicators affecting accident casualties. Finally, some corresponding suggestions for safe coal mine production were proposed.

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A risk assessment method to quantitatively investigate the methane explosion in underground coal mine

Cited by 66 publications

References 23 publications

Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model

Sand casting safety assessment for foundry enterprises: fault tree analysis, Heinrich accident triangle, HAZOP–LOPA, bow tie model

Enhancing Safety in the Polish High-Methane Coal Mines: an Overview

The hybrid systems method integrating human factors analysis and classification system and grey relational analysis for the analysis of major coal mining accidents

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