影响煤与瓦斯突出的主控因素研究

发布时间：2018-07-14 22:40

【摘要】：煤与瓦斯突出是一种严重的矿井动力灾害。国内外学者对煤与瓦斯突出过程及机理进行了大量的研究,但是仍然不能满足对煤与瓦斯突出准确预测的要求。尤其是近年来,随着煤矿开采强度、深度的增加,突出问题变得更加严峻。本文综合应用实验室实验,现场试验,理论分析等多种方法研究了影响煤与瓦斯突出的主控因素的特点,以及主控因素共同作用对突出产生的危险性。探索了煤与瓦斯突出预测的定量分析,预测出不同地点危险性大小。从而为制定防突措施提供一定良好的依据。首先本文根据瓦斯在煤层中的赋存和流动理论,对不同性质的煤做了吸附试验,得到了不同性质的煤对瓦斯的吸附曲线和和吸附表达式。为煤与瓦斯突出预测提供一定的参考。新建矿井、改扩建矿井或矿井开采到新的水平,都需要进行矿井瓦斯等级核定。根据对矿井测定的瓦斯涌出量大小,可以判定矿井瓦斯等级。如果是高瓦斯矿井,若没有明显的动力现象,就要进行煤与瓦斯突出鉴定。煤与瓦斯突出鉴定的方法很多,最常用的是单项指标法和综合指标法。而在单项指标法中最为显著指标是瓦斯压力指标。以高家庄矿为例,用注浆封孔法现场进行了瓦斯压力测定。在测定中解决了很多现场技术难题,得到了许多宝贵经验。通过分析煤与瓦斯突出的突变理论,选用煤层瓦斯压力、煤层瓦斯含量、瓦斯放散初速度指标、煤层开采深度、地质构造因素、煤的软分层厚度、煤的破坏类型和煤的坚固性系数8个指标作为分类影响主控因素,按照突变级数法,建立了一种突出危险性分类定量评价方法。以高家庄矿井为例进行了区域突出危险程度评价。这样便于针对不同地点采取不同的防突措施。
[Abstract]:Coal and gas outburst is a serious mine dynamic disaster . At home and abroad scholars have carried out a great deal of research on coal and gas outburst process and mechanism , but still cannot meet the requirement of accurate prediction of coal and gas outburst . Especially in recent years , with the increase of mining intensity and depth of coal mine , the prominent problems become more severe .

First , according to the occurrence and flow theory of gas in the coal seam , the adsorption test of coal with different properties is carried out , and the adsorption curve and the adsorption expression of the coal on the gas are obtained . It provides a reference for the coal and gas outburst prediction .

The mine gas grade can be determined according to the size of gas emission from the mine . If it is a high gas mine , if there is no obvious dynamic phenomenon , coal and gas outburst can be determined . The most common indexes in single index method are single index method and comprehensive index method .

Based on the analysis of the catastrophe theory of coal and gas outburst , coal seam gas pressure , coal seam gas content , gas discharge initial velocity index , coal seam mining depth , geological structure factor , soft layer thickness of coal , damage type of coal and strong coefficient of coal are used as main control factors for classification .
【学位授予单位】：东北大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：TD713

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