中文摘要：

华北型煤田深部煤炭开采严重受到奥灰水的威胁，因此对奥灰含水层富水性的评价涉及到煤矿安全生产。根据《煤矿防治水规定》含水层富水性评价依据为单位涌水量，但实际勘查过程中该指标数据十分稀少，因此无法客观全面地评价整个井田奥灰富水性。为了解决这个问题，提出一种综合灰色关联法、模糊德尔菲层次分析法（FDAHP）和地球物理探测相结合的奥灰富水性评价预测方法。以山东良庄井田为研究背景，选取钻孔涌水量、含水层厚度、断层影响因子、冲洗液消耗量4个评价指标，利用灰色关联法和德尔菲专家打分法确定各指标对奥灰富水性控制的相对权重，在此基础上构建基于灰色关联和FDAHP的奥灰富水性指数数学模型，利用地球物理探测获得的奥灰富水性成果，对模型进行检验，确定富水性等级分区阈值，将建立的模型分区成果与物探实测成果相结合，绘制出整个井田奥灰富水性分布图，并利用钻探揭露奥灰漏水点、突水点、抽水试验和水源井分布等现场工程数据对分区结果进行验证。提供了一种在传统单位涌水量资料稀少的情况下，相对科学地评价整个井田奥灰富水性的方法。

英文摘要：

Exploitation of the deep coal is seriously threatened by water inrush from Ordovician limestone in North China type coalfield, so the coal mine safety production is directly related to the water-richness evaluation of Ordovician limestone aquifer. The water-richness of aquifer is evaluated by the units-inflow, which is the criteria according to regulations for mine water prevention and control. While the data are sparse in field exploration, thewater-richness can not be evaluated c6fiaprehensively and objectively. In view of the above issue, the water-richness evaluation method based on grey correlation analysis, Fuzzy Delphi Analytic Hierarchy Process and geophysical exploration is proposed. Based on the background of Liangzhuang coal mine, the work of water-richness evaluation was carried out. Four major controlling factors were selected, including water inflow of drilling, the thickness of upper Majiagou Formation of Ordovician limestone aquifer, fault influencing factor and drilling flush fluid consumption. The total weights of all factors were obtained by the use of expert scoring method and grey correlation method. Following the above outlines, the mathematical model of water-richness index was established based on the method of grey correlation analysis and FDAHP. The data of geophysical exploration were collected to test the accuracy of the model and determine the partition thresholds. In addition, the results of water-richness index and geophysical exploration were used to evaluate the water-richness of Ordovician limestone. Furthermore, the validity and reliability of evaluate results were verified by engineering practices, including the data of water leakage of Ordovician limestone drills, Water inrush points, pumping tests and water source wells. In the absence of actual data of units-inflow, this study provides a way to evaluate the water-richness of Ordovician limestone aquifer.