煤与瓦斯突出的热动力过程分析

针对当前计算瓦斯膨胀能中存在着的绝热假设不符合实际的问题 ,在前人实验室研究和现场观测的基础上 ,从热力学的角度入手研究了煤与瓦斯突出过程中的能量转换过程 .指出瓦斯膨胀过程是一多变过程 ,提出了多变指数n的确定方法 ,建立了煤与瓦斯突出过程中能量交换的热力学模型 .     

煤与瓦斯突出的热动力过程分析

针对当前计算瓦斯膨胀能中存在着的绝热假设不符合实际的问题,在前人实验室研究和现场观测的基础上,从热力学的角度入手研究了煤与瓦斯突出过程中的能量转换过程．指出瓦斯膨胀过程是一多变过程,提出了多变指数n的确定方法,建立了煤与瓦斯突出过程中能量交换的热力学模型．     

Bayesian discriminant analysis for prediction of coal and gas outbursts and application

Based on the principle of Bayesian discriminant analysis, we established a model of Bayesian discriminant analysis for predicting coal and gas outbursts. We selected five major indices which affect outbursts, i.e., initial speed of methane diffusion, a consistent coal coefficient, gas pressure, destructive style of coal and mining depth, as discriminating factors of the model. In our model, we divided the type of coal and gas outbursts into four grades regarded as four normal populations. We then obtained the corresponding discriminant functions through training a set of data from engineering examples as learning samples and evaluated their criteria by a back substitution method to verify the optimal properties of the model. Finally, we applied the model to the pre-diction of coal and gas outbursts in the Yunnan Enhong Mine. Our results coincided completely with the actual situation. These results show that a model of Bayesian discriminant analysis has excellent recognition performance, high prediction accuracy and a low error rate and is an effective method to predict coal and gas outbursts.     

煤与瓦斯突出机理研究

后期释放条件不同导致了石门、回采及煤巷工作面突出强度的差异性.突出型的突出,包括煤粉的堆积和孔洞的形状,均是在压出型突出的基础之上迭加后形成的,瓦斯是突出的主导因素.     

Failure modes of coal containing gas and mechanism of gas outbursts

In order to explain the mechanism for gas outburst, the process of evolving fractures in coal seams is described using system dynamics with variable boundaries. We discuss the failure modes of coal containing gas and then established the flow rules after failure. The condition under which states of deformation convert is presented and the manner in which these convert is proposed. In the end, the process of gas outbursts is explained in detail. It shows that a gas outburst is a process in which the boundaries of coal seams are variable because of coal failure. If the fractures are not connected or even closed owing to coal/rock stress, fractured zones will retain a certain level of carrying capacity because of the self-sealing gas pressure. When the accumulation of gas energy reaches its limit, coal seams will become unstable and gas outbursts take place.     

采空区煤柱-顶板系统失稳的力学分析

基于温克尔假设,把坚硬顶板视为弹性板（突破把坚硬顶板视为弹性梁的传统思想）,把煤柱等效为连续均匀分布的支撑弹簧,从而形成煤柱-顶板相互作用系统。同时,将煤柱视为应变软化介质,采用近似的weibuu分布描述它的损伤本构模型,依据板壳理论和非线性动力学理论对采空区煤柱-顶板系统失稳机理进行了研究,得出了系统失稳的突变机制,并给出了系统失稳的数学判据和力学条件。最后以马脊梁矿为工程实例进行分析,结果表明理论分析值与工程实测数据吻合颇好。本文为进一步研究煤柱-顶板相互作用系统和制定相关规范提供了重要参考。     

GIS技术在瓦斯区域预测中的应用

结合淮南矿业(集团)有限责任公司潘三矿瓦斯预测信息管理系统的实例,探讨了如何利用地理信息系统(GIS)技术、计算机技术实现瓦斯区域预测的科学化自动化管理,对基于ArcView的瓦斯预测信息管理系统的系统总体结构及系统功能进行了分析和设计,并对系统开发过程中的关键技术进行了详细分析.     

Determination of indices and critical values of gas parameters of the first gas outburst in a coal seam of the Xieqiao Mine

Based on the important role in mine safety played by parameters of the first gas outburst,we propose a method of combining historic data,theoretical analysis and experimental research for the purpose o...     

工作面连续非接触式突出危险性预测技术现状与展望

本文介绍了我国煤矿中所采用的工作面非接触式煤与瓦斯突出危险性预测中几项技术的应用情况，并对突出预测发展趋势提出了一些看法。     

煤与瓦斯突出机理研究

后期释放条件不同导致了石门、回采及煤巷工作面突出强度的差异性.突出型的突出,包括煤粉的堆积和孔洞的形状,均是在压出型突出的基础之上迭加后形成的,瓦斯是突出的主导因素.     

褶曲分形特征及其与瓦斯突出关系研究

首次提出了煤层褶曲复杂程度的分形度量方法 ,包括小岛法、剖面线法、轴线法 .研究了褶曲剖面线、褶曲轴线分布、褶曲地形的分形特征 ;证实了褶曲的空间分布特征服从分形规律 ,为褶曲构造的研究提供了一种新方法 .以某井田内的两个采区为例 ,探讨了褶曲分形特征与瓦斯突出的关系 ,对预测瓦斯突出提出了一种新思路     

构造煤及其对煤与瓦斯突出的控制作用

高空隙率、低透气性使构造煤能够保持较高的瓦斯压力 ;破碎性、“隔离”作用及“气垫”作用 ,使构造煤抵御外力作用的能力大大降低 ;构造煤变形幅度大的特性 ,为瓦斯的迅速解吸、放散和快速流动创造了条件 ;构造煤薄弱分层或“通道层”的存在 ,则为煤与瓦斯突出的初始激发和持续发展奠定了基础 ;上述因素的共同作用 ,影响和制约了煤与瓦斯突出的强度和分布 .尽管如此 ,一定厚度的构造煤的存在只是发生煤与瓦斯突出的必要条件和有利条件 ,而非充分条件 .     

高瓦斯煤层千米定向钻孔煤与瓦斯共采机理

结合最新引进的德国DDR-1200型千米定向钻机,提出在工作面顶板裂隙带内打千米定向钻孔抽采瓦斯的新方法,构建千米定向钻孔煤与瓦斯共采体系.结果表明,工作面上覆岩层存在大量横向间隙和竖向裂隙,裂隙带高度为34m左右,最大离层裂隙发生在主关键层下方,距离工作面顶板22m左右,最大离层量240mm,形成瓦斯富集区域;工作面倾向方向,回采巷道向采空区方向0～60m范围内裂隙最发育,并能长期稳定存在.据此在14301工作面进行工业性试验,试验结果表明,钻孔布置在14301工作面上方顶板22m左右,倾向方向距运输巷15m处,抽采浓度达70%以上,抽采时间在120d以上,取得最佳瓦斯抽采效果,实现煤与瓦斯共采.     

煤与瓦斯突出的土力学分析

为了探索煤与瓦斯突出机理,根据岩体结构分类方法,把破坏类型为Ⅲ,Ⅳ,Ⅴ类的煤视为散体结构岩体.借鉴土力学流土失稳理论分析煤与瓦斯突出机制,把临界失稳梯度作为煤体的抗突强度指标.通过对煤体瓦斯压力梯度变化过程的分析,指出低透气性煤比高透气性煤更容易发生高强度突出的原因是由于低透气性煤的"失稳分层"的单位体积煤体具有更高的气体膨胀能.提出隔渗帷幕法和反滤层法2种控突思路.     

低瓦斯煤层工作面瓦斯涌出量预测与防治

利用瓦斯地质数学模型法建立了工作面瓦斯涌出量数学模型,预测了未采区工作面瓦斯涌出量.瓦斯涌出量等值线大体上沿北东方向展布,并具有随煤层埋深增加而增大的总体趋势.依据工作面瓦斯涌出量构成及瓦斯涌出量预测结果,提出了工作面瓦斯治理的两套措施,即采空区瓦斯抽放和下行风加专用排瓦斯巷.     

高瓦斯矿井一次采全高综采工作面瓦斯治理

介绍了晋城矿区寺河矿高瓦斯矿井一次采全高工作面瓦斯治理方法和瓦斯利用情况,提出了高瓦斯矿井一次采全高工作面瓦斯治理途径和技术,指出高瓦斯矿井高产高效、安全生产的根本出路在于提高瓦斯抽放率,加强瓦斯利用,进而提高矿井的综合效益.     

新安煤田煤与瓦斯突出特征及控制因素分析

为了掌握煤与瓦斯突出的特征和控制因素,提高煤矿防突工作的针对性,本文通过统计分析了新安煤田内义煤集团的4个煤与瓦斯突出矿井近年来发生的瓦斯动力现象,综合分析得出新安煤田煤与瓦斯突出具有以小型突出为主、突出前有预兆并受作业方式诱导、突出点附近瓦斯质量体积和瓦斯压力高、易发生在掘进工作面和煤层变化带的特征;分析总结了埋藏深度、瓦斯赋存、地质构造、煤层厚度变化、构造软煤、作业工艺是控制新安煤田煤与瓦斯突出的主要因素,为该煤田防治煤与瓦斯突出提供了理论指导.     

隔档式褶皱演化及其对煤与瓦斯突出灾害的影响

为了解水城矿区隔档式褶皱对该区域煤与瓦斯突出灾害影响问题,采用理论分析、现场考察等手段研究了水城矿区隔档式褶皱演化分析及其对煤与瓦斯突出灾害影响机理及特征.研究表明：水城矿区先期断裂存在及燕山期挤压力学作用形成了水城矿区隔档式褶皱,背斜区域造成煤层及瓦斯缺失,向斜区域煤层及瓦斯得以保存,隔档式褶皱形成过程中由于层间滑动、沿断裂滑动等造成了煤系地层破坏,形成了构造煤,挤压应力环境形成了瓦斯封闭系统,造成了瓦斯富集,越靠近向斜轴部,煤与瓦斯突出次数越多,灾害越严重.     

Regression analysis of major parameters affecting the intensity of coal and gas outbursts in laboratory

Estimating the intensity of outbursts of coal and gas is important as the intensity and frequency of outbursts of coal and gas tend to increase in deep mining. Fully understanding the major factors contributing to coal and gas outbursts is significant in the evaluation of the intensity of the outburst. In this paper, we discuss the correlation between these major factors and the intensity of the outburst using Analysis of Variance(ANOVA) and Contingency Table Analysis(CTA). Regression analysis is used to evaluate the impact of these major factors on the intensity of outbursts based on physical experiments. Based on the evaluation, two simple models in terms of multiple linear and nonlinear regression were constructed for the prediction of the intensity of the outburst. The results show that the gas pressure and initial moisture in the coal mass could be the most significant factors compared to the weakest factor-porosity. The P values from Fisher's exact test in CTA are: moisture(0.019), geostress(0.290), porosity(0.650), and gas pressure(0.031). P values from ANOVA are moisture(0.094), geostress(0.077), porosity(0.420), and gas pressure(0.051). Furthermore, the multiple nonlinear regression model(RMSE: 3.870) is more accurate than the linear regression model(RMSE: 4.091).