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构造煤发育是发生煤与瓦斯突出的必要条件,常规构造煤识别方法存在效率低和准确率低等缺点.本文以芦岭煤矿Ⅱ六采区8煤层为研究目标,利用不同结构类型煤体的测井响应特征不同的特点,识别煤层中不同结构类型煤体.为了提高识别准确性,利用小波多尺度分析方法提取测井曲线中的低频分量和中频分量;再以低频分量和中频分量为输入,利用聚类分析法划分不同结构类型的煤体.通过识别,可以明显区分出目标层的原生煤、碎裂煤、碎粒煤和糜棱煤等四种结构类型煤体,同时也可以识别出煤层中的夹矸.以研究区中多钻孔识别的煤体类型为基础,绘制煤体结构三元相图,并将研究区划分为Ⅰ、Ⅱ、Ⅲ和Ⅳ等四类煤体结构组合类型区块.其中,Ⅲ类组合区块中构造煤最为发育,是煤与瓦斯突出的重点防治区.
The development of tectonic coal is a necessary condition for the occurrence of coal and gas outburst, and the conventional tectonometric coal identification method has the defects of low efficiency and low accuracy.In this paper, the 8th coal seam of Ⅱ 6th mining area in Luling Mine is the research goal, Logging response characteristics of different characteristics of coal seam to identify different structural types of coal.In order to improve the recognition accuracy, the use of wavelet multi-scale analysis of low-frequency components and intermediate frequency components of the well logging curve; and then the low-frequency components and intermediate frequency components as input , The cluster analysis method is used to classify the coal bodies of different types of structures.Different structure types of coal bodies such as primary coal, fragmented coal, crushed coal and mylonitial coal can be clearly distinguished from each other through identification, and at the same time, Based on the type of coal body recognized by multiple boreholes in the study area, the ternary phase diagram of coal body structure is drawn and the study area is divided into four types of coal body structures such as Ⅰ, Ⅱ, Ⅲ and Ⅳ Among them, the tectonic coal in Group Ⅲ is the most developed, which is the key prevention and control area of coal and gas outburst.