中文摘要：

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.

英文摘要：

The development of tectonically deformed coal is a precondition of the occurrence of coal and gas outburst. The conventional identification methods of tectonically deformed coal have some shortcomings such as low efficiency and low accuracy. In this study,we use the 8^th coal seam of Luling coalmine as the study target,and use the response characteristics of well logs on coal structure types to identify the types of coal structure. In order to improve the recognition accuracy, firstly, we use multi-scale wavelet analysis to extract the components of low frequency and intermediate frequency from original well logs; then,we use the extracted components of low frequency and intermediate frequency as the inputs to classify the types of coal structure using cluster analysis. Through the practical identification,we have identified the primary coal, the cataclastic coal, the granulated coal and the mylonitized coal from the study target,as well as the coal gangue.Base on the identified coal types of all wells,we plot a ternary phase diagram of coal structures and use this diagram to classify the coal seam into Ⅰ,Ⅱ,Ⅲ and Ⅳ regions where the coal seam is combined with different types of coal. In the region of Ⅲ,the coal seam is composed of the most developed tectonically-deformed coal.Consequently,the region of Ⅲ is the key area to prevent and cure coal and gas outburst.