煤炭工程 ›› 2015, Vol. 47 ›› Issue (3): 83-85.doi: 10.11799/ce201503028
• 研究探讨 • 上一篇 下一篇
魏引尚1,刘云飞2
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摘要： 做好矿井回采工作面瓦斯涌出量预测是防止矿井瓦斯超限的前瞻性基础工作。本文针对煤矿现场实时瓦斯涌出量监测值，研究了基于Monet Carlo方法的瓦斯涌出量预测模型，通过模型找出数据中蕴含的随机性和统计规律性，对后续生产过程的瓦斯涌出量进行预测。结果表明该方法建模限制少、预测精度较高，可以为矿井瓦斯治理工作提供有力支持。
关键词: Monte Carlo方法, 随机抽样, 瓦斯涌出量预测
Abstract: The mine working face gas emission is a basic work to prevent the gas gauge. In the paper, the study is based on the mine gas monitoring data and puts forward a new prediction of mine gas emission by used Monte Carlo model. The randomness and the statistical rule of data will be find by the model. This model is used to predict the following production gas emission. The results showed that this prediction method has less restrictions high precision and this prediction method can be a good guide for the production of mine Gas control work.
Key words: Monte Carlo method, Random sampling, The Prediction of Gas emission
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TD712
魏引尚，刘云飞. 基于Monte Carlo方法的回采工作面瓦斯涌出量预测[J]. 煤炭工程, 2015, 47(3): 83-85.
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