分析瓦斯突出相关因素预防煤与瓦斯突出事故的发生

在瓦斯地质的研究中，对瓦斯突出相关因素的分析日趋完善，怎样掌握各相关因素对突出的制约性，已经是预测煤与瓦斯突出的重点。本文试图从此论点入手，寻求预防突出事故发生的有效方法。     

加强瓦斯地质研究 防治煤与瓦斯突出

简述了平顶山矿区煤与瓦斯突出概况，根据影响煤与瓦斯突出的地质因素，开展了多项瓦斯地质研究课题，找出影响本区煤与瓦斯突出的内在因素和部分规律。在防治煤与瓦斯突出方面促进了安全生产，提高了经济效益。对今后瓦斯地质工作提出了建议。     

台吉竖井瓦斯突出控制因素分析及突出区预测

从瓦斯地质理论角度出发,根据台吉竖井地质勘探和瓦斯地质资料的统计分析,揭示了地质构造演化对瓦斯的控制特征,探讨了控制矿井突出的瓦斯地质规律,分析了矿井瓦斯的突出因素,总结出台吉竖井煤与瓦斯突出的地质构造控制特征.指出地质构造演化影响矿井瓦斯的保存和逸散,而断裂构造与岩浆岩的侵入会造成瓦斯的局部聚集,是造成煤与瓦斯突出的两个主要因素,为预测矿井瓦斯突出危险区,防治煤与瓦斯突出和瓦斯治理工作提供了科学依据.     

基于模糊综合评价的瓦斯突出危险性分析

针对煤矿瓦斯突出的问题,依据煤与瓦斯突出的相关理论及其影响因素,应用模糊综合评价法建立了突出危险评价指标体系,对影响煤与瓦斯突出的各个因素综合分析并对指标体系进行多级评价,最终得出矿井煤与瓦斯突出危险性的定量评价结果.以唐山马家沟煤矿为例,详细分析了各个指标,构造了判断矩阵及相对权重,建立了评判集进行评价,准确全面地反映了综合情况,为煤矿瓦斯事故危险源安全现状的综合评价提供了合理途径.     

台吉竖井瓦斯突出控制因素分析及突出区预测

从瓦斯地质理论角度出发,根据台吉竖井地质勘探和瓦斯地质资料的统计分析,揭示了地质构造演化对瓦斯的控制特征,探讨了控制矿井突出的瓦斯地质规律,分析了矿井瓦斯的突出因素,总结出台吉竖井煤与瓦斯突出的地质构造控制特征.指出地质构造演化影响矿井瓦斯的保存和逸散,而断裂构造与岩浆岩的侵入会造成瓦斯的局部聚集,是造成煤与瓦斯突出的两个主要因素,为预测矿井瓦斯突出危险区,防治煤与瓦斯突出和瓦斯治理工作提供了科学依据.     

平顶山十矿煤与瓦斯突出地质因素分析

随着矿井开采深度的增加，煤与瓦斯突出已愈来愈成为影响和制约生产的重要因素,为确保煤矿安全生产，作者对平项山十矿影响突,出煤层瓦斯赋存和突出的地质构造、煤层厚度的变化、煤体结构、埋藏深度等地质因素进行了分析研究，认为：地质条件对煤层瓦斯体积含量和煤与瓦斯突出的分区分带具有明显的控制作用；井田内厚度小于2m的单一煤层一般不具突出危险性，但随着开采深度的增加有可能发生突出；戊9-10煤层分又合并线附近为煤与瓦斯突出带，其他煤层分又合并线附近可能形成煤与瓦斯突出危险带.     

瓦斯突出煤体的导电性质研究

瓦斯突出煤体是在瓦斯突出灾害发生前就已经客观存在的地质体，是发生瓦斯突出的必要的物质条件，针对瓦斯突出煤体煤样的特点，采用具有国际先进水平的数字式双频激电仪作为主要观测仪表，建立了集先进性和实用性为一体的瓦斯突出电性能观测系统。通过进行实验室大量煤样的测定，研究了瓦斯突出煤体的导电性质。为利用以电磁法为主的地球物理方法法进行了瓦斯突出煤体探测和瓦斯突出预测提供了物理基础，对减轻和防止煤矿瓦斯突出自     

平顶山十二矿煤与瓦斯突出的地质因素分析

对十二矿影响煤与瓦斯突出的井田地质构造、煤体结构、煤厚及其变化、煤层围岩等地质因素进行了分析。探讨了煤与瓦斯突出与上述地质因素之间的密切关系，为煤与瓦斯突出的预测、预报及其防治提供了依据。     

利用事故树分析法确定煤矿瓦斯突出主控因素

在综合分析影响瓦斯突出多项瓦斯地质因素的基础上,探讨了瓦斯突出事故树通用模型的创建方法;结合淮北芦岭矿的井田地质条件和瓦斯突出状况确立了该矿井瓦斯突出事故树事件函数;通过求取其最小割集的基本事件临界重要度系数最终确定了控制瓦斯突出的主导因素.该方法可为瓦斯地质单元的划分和瓦斯突出的区域预测提供定量化依据.     

利用事故树分析法确定煤矿瓦斯突出主控因素

在综合分析影响瓦斯突出多项瓦斯地质因素的基础上,探讨了瓦斯突出事故树通用模型的创建方法;结合淮北芦岭矿的井田地质条件和瓦斯突出状况确立了该矿井瓦斯突出事故树事件函数;通过求取其最小割集的基本事件临界重要度系数最终确定了控制瓦斯突出的主导因素.该方法可为瓦斯地质单元的划分和瓦斯突出的区域预测提供定量化依据.     

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).     

河北省煤与瓦斯突出影响因素分析及防治对策

本文认为河北省矿区煤与瓦斯突出的影响因素主要是煤层赋存条件、地质构造、采掘活动，并讨论了防治煤与瓦斯突出的具体措施。     

阳泉矿区煤与瓦斯突出的地质因素及预测方法

本文分析了阳泉矿区煤与瓦斯突出地质因素，总结了突出的预测方法及效果。     

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.     

Response characteristics of gas pressure under simultaneous static and dynamic load: Implication for coal and gas outburst mechanism

Coal and gas outbursts are dynamic disasters in which a large mass of gas and coal suddenly emerges in a mining space within a split second. The interaction between the gas pressure and stress environment is one of the key factors that induce coal and gas outbursts. In this study, first, the coupling relationship between the gas pressure in the coal body ahead of the working face and the dynamic load was investigated using experimental observations, numerical simulations, and mine-site investigations. It was observed that the impact rate of the dynamic load on the gas-bearing coal can significantly change the gas pressure. The faster the impact rate, the speedier the increase in gas pressure. Moreover, the gas pressure rise was faster closer to the impact interface. Subsequently, based on engineering background, we proposed three models of stress and gas pressure distribution in the coal body ahead of the working face: static load, stress disturbance, and dynamic load conditions. Finally, the gas pressure distribution and outburst mechanism were investigated. The high concentration of gas pressure appearing at the coal body ahead of the working face was caused by the dynamic load. The gas pressure first increased gradually to a peak value and then decreased with increasing distance from the working face. The increase in gas pressure plays a major role in outburst initiation by resulting in the ability to more easily reach the critical points needed for outburst initiation. Moreover, the stronger the dynamic load, the greater the outburst initiation risk. The results of this study provide practical guidance for the early warning and prevention of coal and gas outbursts.     

淮南矿区井田小构造对煤与瓦斯突出的控制作用

井田小构造要素是控制煤与瓦斯突出的主要地质因素,它综合影响其他因素,会造成不同破坏程度的煤体结构.对淮南矿区煤与瓦斯突出点构造资料的统计表明,突出点受构造控制的占近64%,而煤、岩巷中的构造控制突出占近72%,突出点由小断层引起煤层产状及煤体结构强烈揉皱的占100%.淮南矿区煤与瓦斯突出点的构造组合形式分断层构造、断层与褶皱叠加和褶皱构造三类,其中断层组合又分地堑型、阶梯型、断层交汇型、挤压构造型和顺层断层型五种.小构造发育是造成煤与瓦斯突出平面分区性和空间分带性的主要原因,构造煤发育程度是造成煤与瓦斯突出发生的直接原因;必须进一步加强小构造对构造煤发育控制范围的研究,提高煤与瓦斯突出预测预报地质构造指标的可靠性.     

Advances in gas content based on outburst control technology in Huainan,China

The sudden and violent nature of coal and gas outbursts continues to pose a serious threat to coal mine safety in China. One of the key issues is to predict the occurrence of outbursts. Current methods that are used for predicting the outbursts in China are considered to be inadequate, inappropriate or impractical in some seam conditions. In recent years, Huainan Mining Industry Group (Huainan) in China and the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia have been jointly developing technology based on gas content in coal seams to predict the occurrence of outbursts in Huainan. Significant progresses in the technology development have been made, including the development of a more rapid and accurate system in determining gas content in coal seams, the invention of a sampling-while-drilling unit for fast and pointed coal sampling, and the coupling of DEM and LBM codes for advanced numerical simulation of outburst initiation and propagation. These advances are described in this paper.     

一个煤与瓦斯突出区域预测专家系统原型的开发与实现

煤与瓦斯突出一直是威胁煤矿井下安全生产的重大地质灾害之一。论文从分析突出的因素出发，归结出煤与瓦斯突出的事故模型与问题特征，然后从工具选择、主系统开发、辅助系统开发等方面，具体讨论了专家系统原型的开发与实现过程。另外，文中提出的专家系统外挂模块松散结构体系的设计思想在国内外尚属首次。     

以煤体结构为基础的煤与瓦斯突出简化力学模型

从能量的角度分析计算了煤与瓦斯突出中作用于煤体的动力和煤体本身的阻力，建立了以煤体结构为基础的煤与瓦斯突出简化力学模型，定量讨论了煤与瓦斯突出的力学过程，并给出了其构造煤临界厚度判据     

断层分维特征与瓦斯突出的关系

应用分形几何学的原理和方法对具有代表性的多个矿区井田内的断层分布特征及其与突出的关系进行了研究．研究结果表明,井田中的断层分布服从分形规律,断层的分维值和煤与瓦斯突出之间存在相关关系,应用断层分维值分析和认识突出与断层构造的关系是进行突出预测的一种有效方法．