巨野煤田龙固井田3煤层顶板结构及其影响因素
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摘要
本文采用沉积学、岩石学、构造-地层学和岩体结构-岩石力学等学科交叉的研究思路,综合多学科的研究方法和技术路线,以巨野煤田龙固井田3煤层顶板结构及其稳定性影响因素为实例,对煤层顶板岩性构成及组合特征、3煤层顶板的地质属性特征和岩石力学属性特征进行了系统研究,提出了龙固井田3煤层顶板稳定性分析方案,并就顶板稳定性研究、评价和预测的新方法进行了探讨。
     以沉积学、地层学等方法为技术手段,详细研究了煤层顶板岩性分布特点、沉积层序及组合结构特征,总结出了五种顶板岩性组合类型:煤层.厚层状砂岩(老顶)组合、粉砂岩-厚层状砂岩(老顶)组合、泥岩-粉砂岩-厚层状砂岩(老顶)组合、粉砂岩-泥岩-厚层状砂岩(老顶)组合、泥岩.厚层状砂岩(老顶)组合。
     对煤层顶板构造尤其小断层特征及分布特点进行了精细分析,并与顶板构造-地层分析方法(如强岩层效应值分析法)结合起来,两者相互渗透、相互映证,对相关参数进行了深入分析,将研究区煤层顶板构造稳定性划分为五个级别:稳定,较稳定,中等稳定,较不稳定、不稳定。
     对煤层顶板岩性特征、岩层结构特点、沉积变化规律、地下水的影响、不同岩层组合关系及其总体力学效应进行了详细研究,总结出了煤层顶板岩石抗压强度空间分布规律,并据此对顶板稳定性进行了岩石力学分区。
     综合分析煤层顶板结构及影响煤层顶板稳定性的各种因素,确定了顶板稳定性相关因素的定量关系。在此基础上,建立BP人工神经网络模型,对龙固井田煤层顶板稳定性进行定量预测,分析了煤层顶板稳定性,提出了综合评价成果。
This paper provides systematic analysis for lithology composition characteristics of coal roof, geological property and rock mechanics property of coal 3th seam's roof by using sedimentology, petrology, Tectonic Stratigraphy and structure of rock mass-rock mechanics, with Longgu coalfield in Juye mine as an example. A stability analysis scheme is concluded for coal 3th seam's roof; and a new method for evaluate and forecast the coal roof stability is discussed here.
     Use sedimentology and stratigraphy technology to analyze lithology distribution, sediment sequence and structure of coal roof. Five types of coal roof are concluded: coal-thick bedded sandstone (main roof), siltstone-thick bedded sandstone, mud rock-siltstone-thick bedded sandstone, siltstone-mud rock-thick bedded sandstone and mud rock-thick bedded sandstone.
     Analyze the coal roof structure, especially minor faults in details. This method can be used together with coal roof structure-strata analysis method (such as competent strata effect) to provide more detailed parameters. The coal roof under research can be divided into five levels: stable, relative stable, medium, less stable; unstable.
     Study the lithology property of coal roof, strata structure, sediment change rules, influence of underground water, relation between strata and overall mechanical effect. A distribution rule about anti-pressure intensity of coal roof stones is concluded and the rock division based on stability is determined.
     The analysis to factors that may affect coal roof stability decides the correlation among them. On top of that, the BP artificial neural network model is used for quantitative forecast. The system forecasts the coal 3th seam's roof stability in the first mining area and puts forward the evaluation result.
引文
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