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Prediction of the Coal and Gas Outburst by Neural Network
2009 Second International Symposium on Computational Intelligence and Design, 2009Back-propagation neural network model was developed to predict the coal and gas outburst. After trained, the artificial neural network model was used to predict the coal and gas outburst of several samples. Moreover, ANN model was also used to analyse the quantitative effects of influencing factors on the coal and gas outburst.
Wei You +5 more
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Research on Early Warning of Coal and Gas Outburst Based on HPO-BiLSTM
IEEE Transactions on Instrumentation and Measurement, 2023Aiming at the problem that coal and gas outburst is difficult to early warning, an early warning index system for coal and gas outburst was analyzed and established in this article.
Peng Ji, Shi-Liang Shi, Xingyu Shi
semanticscholar +1 more source
Expansion energy of coal gas for the initiation of coal and gas outbursts
Fuel, 2019Abstract The study of coal and gas outburst mechanisms is necessary for the safety and efficiency in mining. Gas expansion energy is a major factor in outburst initiation. However, the amount of coal gas participating in outburst initiation is hard to estimate. In this study, considering the effect of coal damage and the environmental pressure change
Fenghua An +4 more
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Gas emission under coal and gas outbursts
Journal of Mining Science, 2011The paper considers the conditions of methane hydrate existence in coal seams. The authors estimate volumes of gas emission in a fractured coal layer upon a drop in gas pressure. The authors also give the assessment of outburst hazard of coal seam edge zone.
S. A. Shepeleva, V. V. Dyrdin
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The Power Source for Coal and Gas Outburst
Journal of Mining Science, 2019The experiments were carried out connected with nitrogen adsorption on coal samples. The aim was to find out the power source for coal and gas outburst. The experimental data were fitted by the function of f(x)=axb. The total volume of micropores and the degree of micropore volume filled by nitrogen were calculated by the Dubinin-Radushkevich equation.
Lin Hong +3 more
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A mechanism of outbursts of coal and gas
Mining Science and Technology, 1984Abstract Rock and gas pressures combine to cause outbursts of coal and gas. The actions and interactions of geological factors, mining factors and intermediary events during the phenomenon are described.
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Discussion on the Outburst Identification of Coal and Gas
Applied Mechanics and Materials, 2013Problems existing in identification index, identification scope, identification process and other aspects were analyzed and discussed by combining the present situation of identification work of coal and gas outburst in China in this study, and targeted rationalization proposals were proposed.
Shao Quan Li +4 more
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Coal and gas outburst risk level prediction model based on Bayesian theory and its application
Measurement science and technologyCoal and gas outburst poses a significant threat to mine safety, requiring effective risk level prediction methods. To enhance the accuracy and intelligence of outburst risk prediction, a prediction indices system of outburst risk integrating both prior ...
Yu-Jie Peng +7 more
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Greenhouse Gases: Science and Technology
This study aims to accurately predict the risk of coal and gas outbursts in coal seams located near small faults. Models of small‐scale normal faults in the Changping mine field were constructed using the FLAC3D software, with fault dip angles of 65° and
Lin Wang +4 more
semanticscholar +1 more source
This study aims to accurately predict the risk of coal and gas outbursts in coal seams located near small faults. Models of small‐scale normal faults in the Changping mine field were constructed using the FLAC3D software, with fault dip angles of 65° and
Lin Wang +4 more
semanticscholar +1 more source
The role of coal strength in coal and gas outbursts
Physics of FluidsCoal strength is one of essential factor influencing the occurrence of coal and gas outbursts (CGOs). In order to explore the laws of CGOs, simulation tests with different coal strengths were carried out under a self-developed CGO device. The results show that as the coal strength increases, the relative outburst strength decreases.
Han Meng +10 more
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