The paper presented a BP neural network model to predict content of coalbed gas based on analyzing explored borehole data of No.13-1 coal bed of Panyi mine in Huainan coal mining area.

• 以淮南矿区潘一矿13-1煤层为研究对象,在分析勘探钻孔资料的基础上,确定了煤层埋深及厚度、顶底板岩性、地质构造和煤变质程度是影响煤层瓦斯含量的主要因素;