Analysis of the causes of methane explosions, flashes and ignitions at coal mines of Russia in 2005-2019

Kabanov, E.I.; Korshunov, G. I.; Корнев, А.В.; Myakov, V.V.

doi:10.25018/0236-1493-2021-21-0-18-29

Cited by 3 publications

(3 citation statements)

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“…This includes effective risk management. Despite the differences in geological and mining conditions, there are opportunities to significantly reduce the risk of accidents at enterprises mining gas-bearing coal seams [1,12,13].…”

Section: Introductionmentioning

confidence: 99%

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Sidorenko,

Trushnikov,

Sidorenko

2024

Sustainability

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Underground coal mining of gas-bearing coal seams is accompanied by the emission of large amounts of methane, which increases with depth. Coal seam methane is not only a major cause of major accidents in coal mines, but is also a greenhouse gas that has a significant negative impact on the Earth’s atmosphere. Analysis of the efficiency of underground coal mining suggests that as the depth of mining increases, the productivity of a longwall decreases by a factor of 3–5 or more, while the specific volume of methane emitted increases manifold and the efficiency of methane management decreases. Effective management of coal seam methane can only be achieved by monitoring its content at key points in a system of workings. Monitoring of methane not only eliminates the risk of explosions, but also lets us assess the effectiveness of using methane management techniques and their parameters to improve efficiency and reduce the cost of methane management (including a methane drainage) for ensuring sustainable underground coal mining. The aim of this article is to develop a software and hardware complex for monitoring methane in a coal mine by creating a simulation model for monitoring methane. The Arduino Uno board and the methane sensor MQ-4 were used for this purpose. In this article, the causes of methane emissions in coal mines, gas control systems, the structure of the mine monitoring system, and the causes of risks and occurrence of accidents in coal mines are considered. As a result of the work, the mathematical model of the methane measurement sensor was developed; the Arduino Uno board developed a simulation system for methane monitoring; and the numerical results of the research are presented in the graphs.

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Section: Introductionmentioning

confidence: 99%

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Sidorenko,

Trushnikov,

Sidorenko

2024

Sustainability

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“…Добыча полезных ископаемых связана с наличием значительных технологических рисков, оценка которых осложняется спецификой технологических процессов, высоким уровнем естественной неопределенности в описании объектов, процессов и их моделей. Значительная часть явлений в горном деле, несмотря на достижения исследователей, характеризуется внезапными проявлениями, точное прогнозирование которых весьма затруднительно [1][2][3]. На протяжении всей истории развития горнодобывающей отрасли происходили крупные аварии с тяжелыми последствиями, и горные инженеры по разным причинам ощущали себя беспомощными в попытках прогнозирования этих катастроф [2].…”

Section: Introductionunclassified

“…Значительная часть явлений в горном деле, несмотря на достижения исследователей, характеризуется внезапными проявлениями, точное прогнозирование которых весьма затруднительно [1][2][3]. На протяжении всей истории развития горнодобывающей отрасли происходили крупные аварии с тяжелыми последствиями, и горные инженеры по разным причинам ощущали себя беспомощными в попытках прогнозирования этих катастроф [2]. Естественно, что наиболее тяжелая в обсуждаемом контексте ситуация складывается в тех видах геотехнологий, которые связаны с подземными горными работами (подземная геотехнология, строительная геотехнология).…”

Section: Introductionunclassified

VR/AR technologies and staff training for mining industry

Vavenkov

2022

Min.Sci.Technol. (RUS)

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Personnel working at mining enterprises must be prepared to overcome professional difficulties and to possess the professional competencies required not only for the implementation of processes, but above all their safety. Modern digital modeling technologies used in mining activities expand the boundaries of practical training not only for future mining engineers, but also for working specialists. As part of the training process, it is important that the simulation of the mining environment be of a high quality almost indistinguishable from the actual environment. In this context, the development of process solutions based on virtual and augmented reality (VR/AR technologies) is most relevant. Process automation in the conditions of large-scale digital transformation laid the foundations for the development of VR/AR in mining industry. Data analysis shows that VR/AR technologies are the major consumer of IT solutions. They are in fact the integrator, or the highest “IT-transformation”, which in practical terms create digital parallel production objects and processes. Further developments in this area may also change some of the existing traditional entities or create new ones, in the training system as well. An example of such an entity, on which the digital future will depend, is the emerging “digital culture”. As such it will be applicable not only in the corporate, industry, but also nationally. Despite the diversity of areas in the development of VR/AR technologies, the maximum effect of their implementation is manifested in the development of special skills of personnel in equipment operation. This clearly relates to the need to ensure the efficiency and reliability of technological operations and processes. The interaction between the consumer and producer of VR/AR solutions together with universities allows a number of problems related to the formation of competencies in the future generation of specialists to be resolved. These include: training of university graduates; creation of specialized courses in educational programs; individual higher educational programs; professional development and retraining courses for specialists in the field of VR/AR technologies in mining; involvement of the academic community representatives in the development of practical tasks based on VR/AR solutions, including researchers of different specializations (geology, geophysics, geotechnics, geoinformatics, aerology, geotechnology, mining machinery and equipment, automation, etc.). Other key areas include the dissemination of the best practices of VR/AR usage in the interests of future customers; creation of a common method to assess the effectiveness of VR/AR projects to determine their investment attractiveness; as well as prediction and creation of future technologies.

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Comprehensive research method for explosive coal dust

Sergienko,

Tumanov,

Chumakov

et al. 2023

E3S Web of Conf.

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The article briefly analyses the explosion and fire hazard properties of coal dust of different dispersions. It is emphasised that many experts working in the field of explosion protection and industrial safety pay insufficient attention to changes in the properties of the dust when reducing its dispersity. It is suggested to develop a new, complex methodology based on the dispersed composition of coal dust. The authors suggest to put methods of special sample preparation and dispersing of samples in two stages as a basis of the complex methodology. To do research with the help of thermal synchronous analysis of the smaller fractions, the authors propose to regrind the coal fraction obtained after the cone crusher in an analytical mill. To exclude adhesion of particles due to the process of static charges accumulation it is suggested to use impactless sieving machine of Retsch company which allows to take out the accumulated charges of static electricity. The coal dust fractions obtained after sieving were sent for granulometric analysis by a dynamic image processing method in CAMSIRE and by an optical microscopic method using a LEICA DM 4000 with image scope colour processing. A simultaneous thermal analysis was performed selectively for fractions smaller than 1000 μm. This was carried out with an STA 449 F3 and NETZSCH Proteus termal analysis application software. The authors consider that the obtained results allow to conclude that it is further expedient to carry out research work in this direction and will make it possible to develop recommendations aimed at prevention of coal dust aerosol explosions.

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Analysis of the causes of methane explosions, flashes and ignitions at coal mines of Russia in 2005-2019

Cited by 3 publications

References 0 publications

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

Methane Emission Estimation Tools as a Basis for Sustainable Underground Mining of Gas-Bearing Coal Seams

VR/AR technologies and staff training for mining industry

Comprehensive research method for explosive coal dust

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