| 新庄孜矿煤体瓦斯含量与震波衰减特征分析 |
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| 引用本文： | 刘盛东,赵秋芳,张平松,郭立全.新庄孜矿煤体瓦斯含量与震波衰减特征分析[J].安徽理工大学学报(自然科学版),2005,25(3):1-4. |
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| 作者姓名： | 刘盛东 赵秋芳 张平松 郭立全 |
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| 作者单位： | 安徽理工大学资源与环境工程系,安徽,淮南,232001;中国煤炭学会矿井地质委员会,安徽,淮南,232001;安徽理工大学资源与环境工程系,安徽,淮南,232001 |
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| 基金项目： | 安徽省自然科学基金资助项目（03044403） |
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| 摘 要： | 为了研究煤层动力学参数与煤层瓦斯地质参数之问的相关关系，采用矿井震波探测技术对淮南新庄孜煤矿主采煤层进行了震波衰减探测试验，分析研究煤层的吸收衰减系数和煤层品质因子Q值特征。试验结果表明：试验区煤层瓦斯压力与Q值成幂函数相关、瓦斯含量与Q值成近似负线性相关；衰减系数与瓦斯压力成正线性相关，与瓦斯含量成指数函数相关。研究结果为煤与瓦斯突出预测提供了新的参数。
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| 关 键 词： | 衰减特征 品质因子 瓦斯压力 瓦斯含量 震波探测 |
| 文章编号： | 1672-1098(2005)03-0001-04 |
| 收稿时间： | 2005-06-28 |
| 修稿时间： | 2005年6月28日 |
Study on Gas Content and the Attenuation Characteristics of Coal Seams of Huainan Xinzhuangzi Mine |
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| LIU Sheng-dong,ZHAO Qiu-fang,ZHANG Ping-song,GUO Li-quan.Study on Gas Content and the Attenuation Characteristics of Coal Seams of Huainan Xinzhuangzi Mine[J].Journal of Anhui University of Science and Technology:Natural Science,2005,25(3):1-4. |
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| Authors: | LIU Sheng-dong ZHAO Qiu-fang ZHANG Ping-song GUO Li-quan |
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| Institution: | 1. Dept. of Resources and Environment Engineering, Anhui University of Science and Technology, Huainan Anhui 232001 ,China; 2. Mine Geology Committee of China Coal Society, Huainan Anhui 232001,China |
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| Abstract: | In order to study the relationship between the seismic dynamics parameters and geological parameters of coal seam and gas, seismic wave predicting technology is adopted to conduct the attenuation experiment at Xinzhuangzi Mine in Huainan area, and attenuation characteristic and quality factor are discussed. The result of the test indicates that gas pressure of coal seams has a exponential correlation with Q value, gas content has a approximately minus linear correlation with Q value , gas pressure has a plus linear correlation with attenuation coefficient, and the gas content has a index correlation with the attenuation coefficient in this area. The result offered new parameters for coal and gas outburst forecast. |
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| Keywords: | attenuation characteristic quality factor gas pressure gas content seismic wave predicting |
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