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
基于钻屑瓦斯解吸指标K1值与瓦斯压力的相关关系,推算了煤样正常含水率条件下K1临界值为0.5 m L/(g·min1/2)时所对应的瓦斯压力;在实验室内试验测定了不同瓦斯压力、不同含水率条件下的K1值,并分析了其随煤体含水率的变化规律。研...基于钻屑瓦斯解吸指标K1值与瓦斯压力的相关关系,推算了煤样正常含水率条件下K1临界值为0.5 m L/(g·min1/2)时所对应的瓦斯压力;在实验室内试验测定了不同瓦斯压力、不同含水率条件下的K1值,并分析了其随煤体含水率的变化规律。研究表明,利用K1值与瓦斯压力的相关关系、K1测定值与含水率的相关关系,可对采取了水力化措施条件下煤层突出危险性局部预测指标K1临界值进行修正。展开更多
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.
文摘基于钻屑瓦斯解吸指标K1值与瓦斯压力的相关关系,推算了煤样正常含水率条件下K1临界值为0.5 m L/(g·min1/2)时所对应的瓦斯压力;在实验室内试验测定了不同瓦斯压力、不同含水率条件下的K1值,并分析了其随煤体含水率的变化规律。研究表明,利用K1值与瓦斯压力的相关关系、K1测定值与含水率的相关关系,可对采取了水力化措施条件下煤层突出危险性局部预测指标K1临界值进行修正。
