掘进工作面煤与瓦斯突出动态预测方法与技术研究

发布时间：2018-03-23 10:16

本文选题：突出动态预测方法　切入点：煤壁瓦斯涌出规律　出处：《辽宁工程技术大学》2014年博士论文

【摘要】：突出危险性预测是中国防突工作的首要重大难题,为了加强中国煤矿防止煤与瓦斯突出的技术水平和防灾能力,改善煤矿安全状况,提高矿井突出预测的准确率和指导现场的工作效率,论文就不同掘进工艺的掘进工作面煤与瓦斯突出动态预测进行了研究分析。论文采用理论研究、实验室试验、现场工业试验等研究方法,以中国煤与瓦斯突出灾害事故瓦斯涌出特征及淮南矿区典型矿井综掘工作面和炮掘工作面为研究对象,研究了瓦斯动态涌出特征、掘进工作面瓦斯动态涌出影响因素和动态涌出规律,提出了利用瓦斯动态涌出参数判定煤与瓦斯突出的预测方法,确定了不同掘进工艺、不同作业工序掘进工作面的预测敏感指标和临界值,研制开发了瓦斯涌出动态监测系统装备,具体开展了以下几个方面的研究内容：(1)论文通过对淮南矿区典型矿井综掘工作面和炮掘工作面煤壁、落煤瓦斯涌出及影响因素现场测试考察,研究确定了淮南矿区不同掘进工艺下工作面瓦斯动态涌出规律；并得出了掘进工作面瓦斯动态涌出量预测数学模型,建立了掘进工作面瓦斯动态涌出预测方法。(2)对潘一矿突出情况进行经验总结、通过理论分析和现场考察测定,确定了11-2煤综掘工作面和13-1煤炮掘工作面突出危险性瓦斯动态涌出预测敏感指标,分别为：11-2煤综掘工作面预测指标为瓦斯涌出最大速率指标与单位时间内单位煤量瓦斯累计涌出量指标,13-1煤炮掘工作面预测指标为炮后瓦斯涌出最大速率指标和炮后30分钟瓦斯累计涌出量指标,并考察确定了预测敏感指标临界值。(3)实验室研发出 KJ338突出危险性瓦斯动态涌出监测系统。该系统通过监控掘进工作面瓦斯涌出特征指标预测工作面煤与瓦斯突出危险性,为中国非接触式预测增加了一种方法和手段,提高了预测突出的可靠性和连续性,为改善煤矿安全状况,减少灾害事故特别是由于较难察觉的突发性事件引起的灾害事故提供了一种新的设备。研究所提出的掘进工作面瓦斯涌出动态预测方法和建立的瓦斯涌出动态监测技术可以实现掘进工作面超前动态预测,实时预报工作面突出危险性,对工作面进行实时监测和预警,使预测无突出危险的准确率达100%,这对于合理预测掘进工作面突出危险性和制定行之有效的防突措施具有指导意义,有助于矿井安全生产和高产高效优势的发挥。同时,利用该项技术和装备可大大减少突出预测工程量和防突措施工程量,极大地解放生产力,研究内容不仅使中国瓦斯动态涌出连续监测水平提高了一个新台阶,而且使煤矿防治瓦斯能力得到进一步提高,保障了矿井安全生产,具有非常显著的经济、社会和环境效益。
[Abstract]:The prediction of outburst risk is one of the most important problems in China's outburst prevention work. In order to strengthen the technical level and disaster prevention capability of coal and gas outburst prevention in coal mines in China, the safety situation of coal mines is improved. In order to improve the accuracy of mine outburst prediction and to guide the work efficiency, this paper studies and analyzes the dynamic prediction of coal and gas outburst in different tunneling working faces. Taking the characteristics of gas emission from coal and gas outburst disasters in China and typical fully mechanized mining and blasting faces in Huainan mining area as the research objects, the dynamic characteristics of gas emission are studied. The influencing factors and law of dynamic gas emission in tunneling face are put forward. The prediction method of determining coal and gas outburst by using dynamic gas emission parameters is put forward, and different tunneling techniques are determined. The prediction sensitive index and critical value of heading face in different working procedures are developed and the equipment of dynamic monitoring system for gas emission is developed. This paper has carried out the following aspects of research content: 1. The paper has investigated the coal wall, gas emission and influencing factors of typical fully mechanized coal face and blasting face in Huainan mining area on the spot. The law of dynamic gas emission in working face under different tunneling techniques in Huainan mining area is determined, and a mathematical model for predicting dynamic gas emission in tunneling face is obtained. In this paper, the prediction method of dynamic gas emission in tunneling face is established, which is used to summarize the outburst situation in Panyi Mine, and through theoretical analysis and on-site investigation and measurement, A sensitive index for predicting the dynamic emission of outburst dangerous gas in 11-2 fully mechanized mining face and 13-1 coal blasting face is determined. The prediction indexes are respectively the maximum gas emission rate index and the cumulative gas emission per unit coal quantity per unit time. The prediction indexes are the maximum gas emission rate index and the gun emission rate index after gunning. 30 minutes after the cumulative gas emission index, At the same time, the critical value of prediction sensitive index is determined. The laboratory has developed a dynamic gas emission monitoring system for KJ338 outburst. The system predicts coal and gas outburst risk by monitoring and controlling the characteristic index of gas emission in tunneling face. In order to improve the safety situation of coal mine, a new method and method is added for the non-contact prediction in China, and the reliability and continuity of the prediction are improved. A new equipment is provided for reducing disaster accidents, especially those caused by unexpected events that are difficult to detect. A dynamic Prediction method of Gas Emission in tunneling face and dynamic Monitoring of Gas Emission established by the Institute. The technology of surveying can realize the advance dynamic prediction of the heading face. In order to forecast the outburst danger of the working face in real time, and to monitor and warn the working face in real time, the accuracy of predicting no outburst danger can reach 100%, which is of guiding significance to reasonably predict the outburst danger in the heading face and to formulate effective measures to prevent outburst. It is helpful to the safe production of mine and the exertion of high yield and high efficiency advantage. At the same time, the use of this technology and equipment can greatly reduce the quantity of outburst prediction and measures to prevent outburst, and greatly liberate the productive forces. The content of the study not only raises the level of continuous monitoring of dynamic gas emission in China, but also further improves the ability of preventing and controlling gas in coal mines, which ensures the safe production of mines and has remarkable economic, social and environmental benefits.
【学位授予单位】：辽宁工程技术大学
【学位级别】：博士
【学位授予年份】：2014
【分类号】：TD713

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