针对平庆煤矿C7+8煤层现用煤与瓦斯突出预测敏感指标临界值与真实临界值不符,导致局部防突措施工程量增大和掘进速度降低,采用历史预测资料统计与分析、实验室研究和现场考察分析相结合的方法,研究确定了C7+8煤层突出主要预测指标K1值为...针对平庆煤矿C7+8煤层现用煤与瓦斯突出预测敏感指标临界值与真实临界值不符,导致局部防突措施工程量增大和掘进速度降低,采用历史预测资料统计与分析、实验室研究和现场考察分析相结合的方法,研究确定了C7+8煤层突出主要预测指标K1值为0.6 m L(g·min1/2)、预测参考指标S值为14 kg/m,通过2个阶段的试验表明,所确定的敏感指标临界值满足矿井安全高效生产要求,能够有效解放生产力和提高经济效益。展开更多
Based on the evolution of geological dynamics and spatial chaos theory, we proposed the advanced prediction an advanced prediction method of a gas desorption index of drill cuttings to predict coal and gas outbursts. ...Based on the evolution of geological dynamics and spatial chaos theory, we proposed the advanced prediction an advanced prediction method of a gas desorption index of drill cuttings to predict coal and gas outbursts. We investigated and verified the prediction method by a spatial series data of a gas desorption index of drill cuttings obtained from the 113112 coal roadway at the Shitai Mine. Our experimental results show that the spatial distribution of the gas desorption index of drill cuttings has some chaotic charac- teristics, which implies that the risk of coal and gas outbursts can be predicted by spatial chaos theory. We also found that a proper amount of sample data needs to be chosen in order to ensure the accuracy and practical maneuverability of prediction. The relative prediction error is small when the prediction pace is chosen carefully. In our experiments, it turned out that the optimum number of sample points is 80 and the optimum prediction pace 30. The corresponding advanced prediction pace basically meets the requirements of engineering applications.展开更多
文摘针对平庆煤矿C7+8煤层现用煤与瓦斯突出预测敏感指标临界值与真实临界值不符,导致局部防突措施工程量增大和掘进速度降低,采用历史预测资料统计与分析、实验室研究和现场考察分析相结合的方法,研究确定了C7+8煤层突出主要预测指标K1值为0.6 m L(g·min1/2)、预测参考指标S值为14 kg/m,通过2个阶段的试验表明,所确定的敏感指标临界值满足矿井安全高效生产要求,能够有效解放生产力和提高经济效益。
基金Financial support for this work, provided by the National Basic Research Program of China (No.2011CB201204)the National Youth Science Foundation Program (No.50904068)+1 种基金the Heilongjiang Science & Technology Scientific Research Foundation Program for the Eighth Introduction of Talent (No.06-26)the National Engineering Research Center for Coal Gas Control
文摘Based on the evolution of geological dynamics and spatial chaos theory, we proposed the advanced prediction an advanced prediction method of a gas desorption index of drill cuttings to predict coal and gas outbursts. We investigated and verified the prediction method by a spatial series data of a gas desorption index of drill cuttings obtained from the 113112 coal roadway at the Shitai Mine. Our experimental results show that the spatial distribution of the gas desorption index of drill cuttings has some chaotic charac- teristics, which implies that the risk of coal and gas outbursts can be predicted by spatial chaos theory. We also found that a proper amount of sample data needs to be chosen in order to ensure the accuracy and practical maneuverability of prediction. The relative prediction error is small when the prediction pace is chosen carefully. In our experiments, it turned out that the optimum number of sample points is 80 and the optimum prediction pace 30. The corresponding advanced prediction pace basically meets the requirements of engineering applications.
