河南理工大学学报(自然科学版)2024,Vol.43Issue(3):34-41,8.DOI:10.16186/j.cnki.1673-9787.2022050018
深部采空区煤自燃早期预测预报方法研究
Study on early prediction method of coal spontaneous combustion in deep goaf
摘要
Abstract
Objectives The characteristics of"three highs and one disturbance"in the process of deep min-ing bring problems such as difficulty in determining the risk area of spontaneous combustion in deep min-ing areas and unclear early prediction and reporting of coal spontaneous combustion.Methods Based on the analysis of coal oxidation gas derivation law under deep high stress conditions,the Graham coefficient and alkane ratio of coal bodies under different stresses are calculated.Results The results showed that the pro-duction of CO and CO2 gas increased with the increase of temperature during the oxidative spontaneous combustion of coal samples under different pressure conditions;Under the same temperature conditions,the production of CO and CO2 gas showed a trend of increasing and then decreasing with the increase of axial stress.At the same temperature,with the increase of axial stress,the Graham coefficient increases first and then decreases.R2 reaches the maximum at 6 MPa,R3 reaches the maximum at 9 MPa and R1 reaches the maximum at 9 MPa;Under the condition of the same axial stress,the Graham coefficient basically changes linearly with the increase of indoor temperature of coal samples.At the same temperature,the alkane ratio of coal samples increases with the increase of axial stress;The alkane ratio under different pressure conditions basically shows an increasing trend with the increase of temperature.Conclusions The research results offer a theoretical foundation for the early prediction of deep coal spontaneous combustion.关键词
煤自燃/深部开采/预测预报/格雷哈姆系数/链烷比Key words
coal spontaneous combustion/deep mining/prediction/Graham coefficient/alkane ratio分类
矿业与冶金引用本文复制引用
晁江坤,刘爽,胡代民,韩学锋,余明高,潘荣锟..深部采空区煤自燃早期预测预报方法研究[J].河南理工大学学报(自然科学版),2024,43(3):34-41,8.基金项目
国家自然科学基金资助项目(52004084) (52004084)
河南省重点研发与推广专项(科技攻关)项目(222102320124,22210232006) (科技攻关)