Fault tree analysis and prevention strategies for gas explosion in underground coal mines of Pakistan

Shahani, Niaz Muhammad; Sajid, Muhammad Jawad; Zheng, Xigui; Jiskani, Izhar Mithal; Brohi, Manzoor Ali; Ali, Muhammad; Ullah, Barkat; Qureshi, Abdullah Rasheed

doi:10.33271/mining13.04.121

Cited by 15 publications

(5 citation statements)

References 13 publications

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“…In the process of deciding on an ECM selection, each alternative was evaluated by examining the literature review (Kissell et al 2007 ; Lirong et al 2011 ; Mahdevari et al 2014 ; Wang et al 2014 ; Shahani et al 2019 ; Ray et al 2022 ; Zhang et al 2022 ), preventive legislations and reports (NIOSH 2006 ; ILO 2009 ; CTEA 2021 ), and expert team opinion. The alternatives suggested in respect of these considerations were listed as follows: ECM 1 : High mining technology ECM 2 : Financial investment ECM 3 : Application of constructive measures ECM 4 : Improving safety technology …”

Section: Application Of Fuzzy Ahp and Fuzzy Topsis Methodologiesmentioning

confidence: 99%

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Kursunoglu

2024

Environ Sci Pollut Res

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The structure of underground coal mines is vulnerable to many mishaps because of the challenging conditions of production and the unique features of the earth. These incidents could cause significant financial and production losses for the mines in addition to worker injury, disability, or death. In coal mines, methane explosions are a frequent threat. Establishing a safe work environment requires managing these problems with an accident control method. The current study used the fuzzy TOPSIS and fuzzy AHP techniques for this aim. The framework was used to tackle the four-alternative problem of underground coal mine explosion control method selection. To identify potential risks of a methane explosion, a data gathering survey was conducted as part of the suggested hybrid methodology. The fuzzy AHP was used to compute the fuzzy weights of the hazards. “Improper ventilation system” is ranked highest out of the 34 sub-risk factors. The fuzzy TOPSIS was then utilized to rank the explosion control methods using the weights. To assess the viability of the study’s conclusions, a sensitivity analysis was carried out. The findings indicate that “improving safety technology” and “financial investments” are the best ways to reduce such events. The results additionally indicate that the fuzzy TOPSIS approach in combination with the fuzzy AHP provides a helpful framework for dynamically assessing mine methane explosion accidents.

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Section: Application Of Fuzzy Ahp and Fuzzy Topsis Methodologiesmentioning

confidence: 99%

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Kursunoglu

2024

Environ Sci Pollut Res

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“…Coal and gas outburst refers to the phenomenon in which there is a sudden outburst of coal and gas from inside the coal wall to the mining face in a short period of time, causing immeasurable casualties and serious losses. The causes of coal and gas outburst are mainly the result of ground pressure, tectonic stress and mine pressure, gas content and gas pressure, and the physical and mechanical properties of rock and coal [15]. Many researchers have utilized new methods to study the mining methods targeting coal and gas outburst in coal seams.…”

Section: Methodsmentioning

confidence: 99%

Study on a High-Efficiency Mining Technology System for Gas Outburst in Coal Seams—Example of an H Coal Mine

et al. 2022

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Coal will continue to play an important role in China’s economic development and social development in the coming decades. However, due to the complex distribution conditions of coal resources, the mining of coal resources is subject to various restrictions. Coal and gas outburst is an important issue in coal mining, and the threat to the mining of coal resources caused by high gas outburst activity has been receiving more attention. In order to solve the problems related to safe and efficient mining under coal seams with gas outburst, such as mining difficulties, large amounts of work, resource waste, no guaranteed gas treatment time, and low economic efficiency, it is necessary to innovate mining technology and methods for managing gas outburst in coal seams to improve the efficiency of coal mines and to solve the above problems. This study proposes a green mining technical method system known as the “L-H method”, which is applicable to the safe and efficient mining of coal seams with gas outburst based on combined theoretical analysis and numerical simulation. The following research results are achieved: (1) The “L-H method” is proposed, and a mining area model of coal seams with gas outburst is established. The specific details of the method and the implementation process are introduced. (2) Examples of H coal mine applications are presented, and the effects of the implementation of the “L-H method” are analyzed and summarized through mine pressure observations from roadways, and it is concluded that the implementation of top-cutting and pressure-relief technology has a good control effect on the roadway-surrounding rock and that gas extraction reaches the national standard of less than 8 m3/t for protrusion prevention; this ensures safety and also achieves efficient mining. This study will provide a good reference for the implementation of green mining methods to similar coal and gas outburst mines.

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“…The Geological Survey of Pakistan (GSP) and the United States Agency for International Development (USAID) have surveyed the area. Thar lignite, Pakistan has been declared the 7 th largest coal reserves in the world [42][43][44][45].…”

Section: Case Studymentioning

confidence: 99%

Numerical modeling of longwall top coal caving method at thar coalfield

et al. 2020

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Thar Coalfield in Pakistan is the largest reserve of lignite coal in the country, which is outlined by thick coal seams. The preferred mining method for these thick coal seams is the Longwall Top Coal Caving (LTCC). The connection of both the top coal caving and its compactness are still rare; therefore, the capability of top coal caving mechanism is the most significant factor in LTCC that must be adequately explained and examined. Moreover, in order to achieve the ideal coal production, a comprehensive modeling of deformation and induced stress is mandatory. In this study, a 12 m thick coal seam with cutting to caving height ratios like 1:2 and 1:3 has been modelled, and the mechanism of longwall top coal caving demonstrated and front abutment vertical stress distribution in front of face line values were computed with the help of UDEC at Block-IX, Thar Coalfield. The results reveal that a thick layer of top coal can be progressively caved behind the face at the ratio 1:3 instead of 1:2 (which explained the incompetent caving progress of top coal). Similarly, the maximum vertical abutment stress of 20 MPa was observed at 6m in front of the face when cutting to caving height ratio was 1:2 and at 3m in front of face with 1:3 (which is comparatively capable for the face advancement), respectively. Therefore, this numerical modeling study proposes the reasonable height of top coal caving at cutting to caving height ratio 1:3 for the efficient production of thick coal seams at Thar Coalfield.

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Fault tree analysis and prevention strategies for gas explosion in underground coal mines of Pakistan

Cited by 15 publications

References 13 publications

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Fuzzy multi-criteria decision-making framework for controlling methane explosions in coal mines

Study on a High-Efficiency Mining Technology System for Gas Outburst in Coal Seams—Example of an H Coal Mine

Numerical modeling of longwall top coal caving method at thar coalfield

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