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.     

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.     

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。     

演马庄煤矿突出煤层炮采放顶煤工作面防治煤与瓦斯突出的方法和措施

介绍了演马庄煤矿 2 70 2工作面突出煤层炮采放顶煤效果检验的方法和防止煤与瓦斯突出所采取的措施 ,提出突出煤层炮采放顶煤工作面瓦斯抽放是防止煤与瓦斯突出的有效手段 ,当工作面有煤与瓦斯突出危险时 ,采取恰当的防突措施 ,能够降低煤与瓦斯突出的危险程度 ,可供同类工作面回采时借鉴     

演马庄煤矿突出煤层炮采放顶煤工作面防治煤与瓦斯突出的方法和措施

介绍了演马庄煤矿2702工作面突出煤层炮采放顶煤效果检验的方法和防止煤与瓦斯突出所采取的措施,提出突出煤层炮采放顶煤工作面瓦斯抽放是防止煤与瓦斯突出的有效手段,当工作面有煤与瓦斯突出危险时,采取恰当的防突措施,能够降低煤与瓦斯突出的危险程度,可供同类工作面回采时借鉴.     

基于改进RS-GRA的煤与瓦斯突出危险性评价

煤与瓦斯突出危险性评价是煤矿企业安全生产的重要内容之一,加强煤与瓦斯突出防治和安全监管监察工作对煤矿安全管理具有重要意义。基于粗糙集理论构建煤与瓦斯突出评价指标体系,在属性约简基础上,利用改进的熵权灰色关联分析计算影响煤与瓦斯突出各指标关联度,结果表明:粗糙集-改进熵权灰色关联分析法能够科学评价各影响因素对煤与瓦斯突出危险性的影响,影响排序依次为瓦斯涌出量、地应力、软分层煤体厚度、煤层开采深度、地质构造类型和瓦斯放散初速度。     

一种基于ArcView实现瓦斯区域预测可视化的方法

应用煤层瓦斯参数结合瓦斯地质分析的区域预测方法,在空间数据管理的基础上,运用GIS数据处理方法,使用ArcView软件依次进行圈定突出点和动力现象点影响范围、划分煤层瓦斯风化带、根据煤层瓦斯压力或瓦斯含量进行区域预测和划分、综合分析、等值线分析5项操作,实现了煤与瓦斯突出危险性的区域预测,并以沙曲矿4号煤层为例划分煤与瓦斯突出危险区和无突出危险区,对其煤与瓦斯突出危险性做出评估,实现了煤与瓦斯突出预测的可视化管理,提高了瓦斯灾害预测的准确性和时效性.     

预抽瓦斯防止煤与瓦斯突出机理及其应用

本文根据在突出煤层中预抽瓦斯所出现的参数变化,初步论证了预抽瓦斯防止煤与瓦斯突出的机理和卸压作用及其变化规律。通过生产现场试验,证明了预抽瓦斯可以大面积防止煤与瓦斯突出。为无解放层的突出矿井开采,提供了新的区域性防止煤与瓦斯突出的技术途径。     

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。     

煤岩固—气耦合的流变力学分析

为分析煤与瓦斯延迟突出机理,讨论了煤层瓦斯流动特性,认为游离瓦斯和吸附瓦斯、突出空洞内的瓦斯和突出空洞附近煤体中的瓦斯均在煤与瓦斯突出过程中起重要作用,因而提出原煤吸附瓦斯贡献系数k并建立了煤层瓦斯流动的质量守恒方程;基于煤岩流变力学实验,提出了讨论煤岩流变力学性质的广义弹粘塑性组合模型。最后,建立了可以用来研究煤与瓦斯延迟突出机理的含瓦斯煤固－气耦合分析的数学模型。     

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。     

影响魏家地矿井瓦斯涌出的地质因素研究

根据地质勘探、矿井生产与建设不同时期的地质、通风、瓦斯资料进行分析研究认为：在赋存有特厚、低透气性顶底板煤层的魏家地矿井内，断裂构造不但控制着矿井瓦斯涌出，而且是诱发煤与瓦斯突出的主导因素，只要严格按照《煤矿安全规程》的规定，坚持从矿井实际出发，加强瓦斯抽放和预测预报，就能达到实现安全生产的目的。     

Principle and engineering application of pressure relief gas drainage in low permeability outburst coal seam

With the increase in mining depth, the danger of coal and gas outbursts increases. In order to drain coal gas effectively and to eliminate the risk of coal and gas outbursts, we used a specific number of penetration boreholes for draining of pressure relief gas. Based on the principle of overlying strata movement, deformation and pressure relief, a good effect of gas drainage was obtained. The practice in the Panyi coal mine has shown that, after mining the Cllcoal seam as the protective layer, the relative expansion deformation value of the protected layer C13 reached 2.63%, The permeability coefficient increased 2880 times, the gas drainage rate of the C13 coal seam increased to more than 60%, the amount of gas was reduced from 13.0 to 5.2 m3/t and the gas pressure declined from 4.4 to 0.4 MPa, which caused the danger the outbursts in the coal seams to be eliminated. The result was that we achieved a safe and highly efficient mining operation of the C 13 coal seam.     

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.     

Catastrophic mechanism of coal and gas outbursts and their prevention and control

Based on the engineering observations of coal and gas outbursts during mining processes and the experimental results,we built a thin plate mechanical model for layered and spalled coal bodies.We studied the mechanical mechanism of outbursts,due to instability,of thin plates of coal rocks under the action of in-plane load and normal load,by using the catastrophe theory.The total potential function is derived for the layered rock system,the cusp catastrophe model for the system is established,the bifurcation set that makes the system unstable is given,the process in which gradual change of action forces leads to catastrophic change of state is analyzed,and the effect of movement path of point (P,q) in the control space on the stability of rock plate is analyzed.The study results show that during the process of coal mining,the stability of the layered coal bodies depends not only on its physical properties and dimensions but also on the magnitudes and changing paths of the in-plane load and the normal load.When the gas in the coal bodies ahead of the mining face is pre-drained,the gas pressure can be reduced and the normal load q can be lowered.Consequently,disasters such as coal and gas outbursts can be effectively prevented.     

Research on Geological Structure Mark of Coal and Gas Outbursts in Pingdingshan Mining Area

Based on the study of regional displaying rules of coal and gas outburst controlled by geological structure in Pingdingshan mining area, the geological structure features in outburst sites were investigated emphatically. The combination type, orientation and least seam thickness in outburst sites were put forward. This research provides a geological mark for forecasting gas outbursts in deep mining.     

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).     

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。     

Coal and rock fissure evolution and distribution characteristics of multi-seam mining

Henan Pingdingshan No.10 mine is prone to both coal and gas outbursts. The E_9–10 coal seam is the main coal-producing seam but has poor quality ventilation, thus making it relatively difficult for gas extraction. The F₁₅ coal seam, at its lower section, is not prone to coal and gas outbursts. The average seam separation distance of 150 m is greater than the upper limit for underside protective seam mining. Based on borehole imaging technology for field exploration of coal and rock fracture characteristics and discrete element numerical simulation, we have studied the evolution laws and distribution characteristics of the coal and rock fissure field between these two coal seams. By analysis of the influential effect of group F coal mining on the E_9–10 coal seam, we have shown that a number of small fissures also develop in the area some 150 m above the overlying strata. The width and number of the fissures also increase with the extent of mining activity. Most of the fissures develop at a low angle or even parallel to the strata. The results show that the mining of the F₁₅ coal seam has the effect of improving the permeability of the E_9–10 coal seam.     

Comparing potentials for gas outburst in a Chinese anthracite and an Australian bituminous coal mine

Gas outbursts in underground mining occur under conditions of high gas desorption rate and gas content, combined with high stress regime, low coal strength and high Young’s modulus. This combination of gas and stress factors occurs more often in deep mining. Hence, as the depth of mining increases, the potential for outburst increases. This study proposes a conceptual model to evaluate outburst potential in terms of an outburst indicator. The model was used to evaluate the potential for gas outburst in two mines, by comparing numerical simulations of gas flow behavior under typical stress regimes in an Australian gassy mine extracting a medium-volatile bituminous coal, and a Chinese gassy coal mine in Qinshui Basin (Shanxi province) extracting anthracite coal. We coupled the stress simulation program (FLAC3D) with the gas simulation program (SIMED II) to compute the stress and gas pressure and gas content distribution following development of a roadway into the targeted coal seams. The data from gas content and stress distribution were then used to quantify the intensity of energy release in the event of an outburst.