节点文献
口孜井田松散层粒度成分与测井曲线幅值参数相关性研究
Study on the Relativity between Losse Layer Grain Size and Logging Amplitude Parameter of KouZi Mine Field
【作者】 余易豪;
【导师】 成春奇;
【作者基本信息】 安徽理工大学 , 地质工程, 2010, 硕士
【摘要】 对于松散层直接覆盖在煤系地层上的井田,松散层底部含水层的渗透性对于煤层开采的意义重大。松散含水层的渗透系数很难通过简单又经济的方法获得,根据前人研究成果表明,土体的渗透系数可以通过其特征粒径来估算。因此,可以通过获得松散含水层土体的特征粒径来估算含水层的渗透性。颗粒分析试验是获得土体特征粒径常用的方法,对整个井田内所有钻孔松散含水层的各岩性分层土体取样,并做颗粒分析试验,也很难实现。本文先对井田部分钻孔松散含水层土样进行颗粒分析试验,得到土样的特征粒径值,根据特征粒径值对部分土样重新命名。并对结果进行统计分析。然后提取土样对应的测井曲线幅值,对其进行统计分析。在统计分析的基础上,利用最小二乘理论,对土样特征粒径值与测井曲线幅值进行相关性分析,提取相关性好的变量进行回归分析,得出回归预测方程。为通过测井曲线获取松散层土样特征粒径提供可靠依据。将得到的回归方程用于口孜西井田,并借鉴邻近井田渗透系数与特征粒径之间的经验公式,得出口孜西井田渗透系数等值线图,对新生界底部含水层防水煤柱的留设形式提供重要参数依据。
【Abstract】 For the loose layer directly covering the coal-bearing strata in the mining area, the permeability of loose aquifer at the bottom whose coefficient is difficult to obtain in a simple and economical way is of great significance for coal mining. According to previous research results, it indicates that the permeability coefficient of soil can be imputed by particle characteristic size. Therefore, the permeability coefficient of aquifer can also be imputed by the loose aquifer soil particle characteristic size.Particle analysis of soil characteristics test is the common method to obtain particle size, it is difficult to take of samples of various lithological stratification of soil on the entire well field drilling unconsolidated aquifers, and do particle analyzing experiment.Firstly, this paper did an particle analysis experiment with loose aquifer soil samples of part of drills in the mining area, got the characteristic size of soil samples, based on which we renewed the name of some samples, and make a statistical analysis on it. Secondly, extract the well log curve amplitude and make an statistical analysis on it. On the basis of the statistical analysis, using least-squares theory, analyze the corresponding relationship between the particle size characteristics of soil samples and the value of the amplitude associated with the logging curve analysis, extract variables of good relationship to make Correlativity analysis and obtain an regression prediction formula, which can provide an reliable foundation in acquiring the characteristic particle size of loose layer soil samples through well log curve.The regression equation will be used for Kouzixi coal mine. By referring to empirical formula of permeability coefficient and characteristic particle size in neighboring coal mine,finally get the contour of permeability coefficient in Kouzixi coal mine, which can providing an important coefficient foundation for the setting form of barrier pillar.
【Key words】 aquifer; grain size; logging amplitude parameter; correlation analysis; prediction model;
- 【网络出版投稿人】 安徽理工大学 【网络出版年期】2012年 05期
- 【分类号】TD12
- 【被引频次】1
- 【下载频次】49