Study on laws of gas occurrence and emission of deep coal seam in Yaoqiao Coal Mine
- https://doi.org/10.2991/icsmim-15.2016.148How to use a DOI?
- Gas content; Gas Emission; Laws of gas occurrence and emission
To grasp the gas occurrence and emission laws of Yaoqiao deep coal mining area (West ten mining area and the second central mining area) in No.7 Coal Seam, the neural network is used to analyze the relationship and degree of influence factors between gas occurrence and gas content. We construct a prediction model of gas content to predict the gas content of the corresponding position and draw contour map of the gas content. We combine gas geological data of Yaoqiao coal mine and summarize the law of gas occurrence and emission to guide the work of gas prevention and control and enhance the prevention level of gas disaster.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Genyin Cheng AU - Yifei Zhou AU - Liming Qi AU - Shan Feng AU - Jian Cao PY - 2016/01 DA - 2016/01 TI - Study on laws of gas occurrence and emission of deep coal seam in Yaoqiao Coal Mine BT - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials PB - Atlantis Press SP - 791 EP - 796 SN - 2352-538X UR - https://doi.org/10.2991/icsmim-15.2016.148 DO - https://doi.org/10.2991/icsmim-15.2016.148 ID - Cheng2016/01 ER -