| 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. |
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