E3S Web Conf.
Volume 329, 20214th International Conference on Green Energy and Sustainable Development (GESD 2021)
|Number of page(s)||5|
|Published online||09 December 2021|
Research and application of coal and gas outburst early warning system based on gas geological features
1 State Key Laboratory of the Gas Disaster Detecting, Preventing and Emergency Controlling, Chongqing, 400037, China
2 Chongqing Research Institute of China Coal Technology and Engineering Group Crop., Chongqing, 400037, China
3 School of Resources and Safety Engineering, Chongqing University, Chongqing, 400044, China
* Corresponding author: firstname.lastname@example.org
The geological structure of coal mines has always been a dangerous object of attention in coal mine outburst prevention work. In order to realize coal mine safety information management and early warning of gas disasters, comprehensive use of gas geological theory, coal mine disaster warning theory, computer information technology and other analysis methods, considering the influence of geological structure, coal seam occurrence parameters, and gas parameters, an early warning indicator system for identifying the risk of coal and gas outbursts reflecting the geological characteristics of gas has been constructed. The coal and gas outburst risk identification and early warning system is constructed using the principle of multi-index step-by-step identification and extreme value determination, and it is applied on-site in the 3303 Measure Lane in the East Shaft Area of Sihe Mine. The research results show that the constructed early warning system can provide accurate early warning for the area (belt) affected by the geological structure by 10m, and can provide accurate early warning of coal and gas outbursts based on the outburst signs of gas geology such as the thickness of soft layers and changes in coal seam thickness. This technology provides effective support for coal mines to effectively prevent gas disasters and ensure coal mine production safety.
© The Authors, published by EDP Sciences, 2021
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