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芦岭煤矿10号煤层瓦斯赋存及其控制因素综合评价OACSTPCD

Gas occurrence of No.10 coal seam and comprehensive evaluation of its control factors in Luling Coal Mine

中文摘要英文摘要

为准确、快速预测矿井煤层瓦斯赋存情况并确定其控制因素,利用分源预测法和模糊物元评价方法,分析了芦岭煤矿 10 号煤层瓦斯赋存规律,并开展了瓦斯赋存控制因素综合评价.研究结果表明:10 号煤层瓦斯涌出量总体较高,具有"中、西部高,东南部低"的分布特点,且瓦斯涌出量随着深度的增加而增大,其涌出量范围在 9.23~16.11 m3/t;研究区根据控制因素评价划分为 3 类区域,其中西南浅部为Ⅰ类区域,东北深部多为Ⅱ类、Ⅲ类区域.

In order to accurately and quickly predict the coal seam gas occurrence and determine its control factors,the gas occur-rence law of No.10 coal seam in Luling Coal Mine was analyzed by using the sub-source forecast method and fuzzy matter-element evaluation method.The evaluation of control factors of gas occurrence was carried out.The results show that the gas emission of No.10 coal seam is generally high,with the distribution characteristics of high in the central and western regions and low in the southeast.Its gas emission increases with the increase of depth,and the emission range is 9.23-16.11 m3/t.Applying control factor analysis,the study area is classified into three types of regions:the shallow area in southwest is considered as type Ⅰ,and the deep area in northeast is predominantly considered as class Ⅱ and Ⅲ.

杨祎超;徐宏杰;刘会虎;卢宏伟;刘瑜;祝月;詹北淮

安徽理工大学 地球与环境学院,安徽 淮南 232001淮北矿业股份有限公司 芦岭煤矿,安徽 淮北 235000

矿山工程

瓦斯赋存控制因素芦岭煤矿模糊物元法分源预测法

gas occurrencecontrol factorsLuling Coal Minefuzzy matter-element methoddifferent-source forecast method

《煤矿安全》 2024 (002)

27-34 / 8

安徽省自然科学基金资助项目(2108085MD134);安徽省公益性地质工作资助项目(2023-g-1-21,2021-g-2-14);安徽理工大学 2022 年研究生创新基金资助项目(2022CX2011);安徽理工大学 2023 年研究生创新基金资助项目(2023cx2001)

10.13347/j.cnki.mkaq.20221711

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