煤油气共生矿井的采面瓦斯涌出预测

The prediction of gas emission from combined mining face of the mine with coal and oil-gas symbiosis association

以煤系含油气的陈家山煤矿综采工作面瓦斯地质资料为依据 ,应用灰色系统理论中的关联分析方法 ,在研究影响采面瓦斯涌出量主控地质与生产因素的基础上 ,借助人工神经网络理论中的BP网络方法 ,建立了综采工作面瓦斯涌出量预测的BP网络模型。通过误差分析及实际应用 ,证明将关联分析与BP网络结合起来开展采面瓦斯涌出量预测是一种可行的方法。

Based on the gas geology information of combined mining faces of Chenjiashan Coal Mine that contains coal and oil gas,it is researched that the main geologic and productive factors controlling gas gushing quantity of mining faces using the relating analysis method of gray system theory.The BP network model of prediction of gas gushing quantity for combined mining faces is established by means of BP network method of ANN theory.The error analysis and practical use show that combining relating analysis method with BP network method to predicting gas gushing quantity of mining faces is a feasible method.