平顶山矿区瓦斯分布规律及预测模型研究  被引量:4

Study on Gas distribution Rule and Prediction Model of Pingdingdshan Coal Mining Area

在线阅读下载全文

作  者:王好龙 张亚南 赵帅[3] 李朋针[3] 

机构地区:[1]中国矿业大学,江苏徐州221116 [2]河南中平安科安全科技服务有限公司,河南平顶山467001 [3]河南省煤田地质局,河南郑州451150

出  处:《矿业安全与环保》2015年第4期33-36,共4页Mining Safety & Environmental Protection

摘  要:通过分析平顶山矿区瓦斯分布规律及特征,得出煤层埋深、煤厚、顶板含砂率是影响该矿区瓦斯赋存的主控因素。采用统计学方法,对瓦斯含量与地质因素进行相关性分析,构建了平顶山矿区瓦斯含量预测模型。经各类检验方法验证,证实了该模型的适用性与正确性,瓦斯含量预测值和实测值吻合度较高,为预测煤层瓦斯含量提供了可靠的依据。Through the analysis on the rule and characteristics of gas distribution in Pingdingshan Coal Mining Area,it came to a conclusion that the occurrence depth and thickness of coal seams and the sand ratio of roof were the main control factors affecting the gas occurrence in this mining area. In this paper,the correlation analysis was carried out on the gas content and geologic factors with statistical methods and a gas prediction model for the mining area was built. The applicability and correctness of this model were verified by all kinds of test methods and the predicted and measured values of gas content were highly consistent,so it provided a reliable basis for the prediction of coal- seam gas content.

关 键 词:平顶山矿区 瓦斯 地质因素 预测模型 

分 类 号:TD712.5[矿业工程—矿井通风与安全]

 

参考文献:

正在载入数据...

 

二级参考文献:

正在载入数据...

 

耦合文献:

正在载入数据...

 

引证文献:

正在载入数据...

 

二级引证文献:

正在载入数据...

 

同被引文献:

正在载入数据...

 

相关期刊文献:

正在载入数据...

相关的主题
相关的作者对象
相关的机构对象