鄂尔多斯盆地罕台庙地区铀储层非均质性定量评价指标体系

铀储层非均质性在铀成矿作用过程中发挥着重要作用，但人们对鄂尔多斯盆地罕台庙地区铀储层非均质性研究未见深入.该地区铀储层通过平面编图和统计分析，结果表明铀储层的砂体厚度、含砂率、砂岩粒度、泥质隔挡层数量、累积厚度、原始有机碳含量等参数能定量表征铀储层砂体的非均质性，沿辫状分流河道砂体中心轴线地区，铀储层非均质性较弱；而位于砂体中心轴线两侧边缘和下游地区，铀储层非均质性增强.系统的定量非均质性参数与铀矿化信息的比较结果表明，可以将铀储层非均质性分为Ⅰ类(弱)、Ⅱ类(中等)和Ⅲ类(强)，其中Ⅱ类铀储层的铀矿化最为活跃，以此为基础建立了由多参数综合评判的铀储层非均质性分级定量评价指标体系.以往定性的研究表明，铀储层非均质性既制约铀成矿过程也影响地浸采铀过程，如今定量分级评价指标体系的建立，将能够更准确地预测铀成矿靶区和优化地浸采铀工程部署，提高勘查和采铀效率. 

The Quantitative Evaluation Index System for Uranium Reservoir Heterogeneity in Hantaimiao Region,Ordos Basin

Uranium reservoir heterogeneity plays an important role in the process of uranium mineralization. However, people have not been recognized and need further study on the uranium reservoir heterogeneity of Hantaimiao region in Ordos Basin. By plane mapping and statistical analysis of quantitative heterogeneity parameters is study area, it shows that the heterogeneity of uranium reservoir sand body can be quantitatively characterized by sandstone thickness, sandstone percentage, sandstone grain size, number and cumulative thickness of clay isolated barrier beds, and original organic carbon content. It is found that uranium reservoir heterogeneity is weak at the central axis area of braided distributary channel sand body; and becomes strong at the both edges of the central axis area of sand body and the downstream area. Through the comprehensive analysis of the relationship between quantitative heterogeneity parameters and uranium mineralization information, uranium reservoir heterogeneity is divided into class I (weak), class II (medium) and class III (strong). The uranium mineralization in class II reservoirs is the most active. And the quantitative evaluation index system for uranium reservoir heterogeneity, which is comprehensively evaluated by multi parameters, is established ultimately. It is generally held in previous qualitative research that uranium reservoir heterogeneity controls uranium mineralization process and also affects the in-situ leaching uranium process. This quantitative evaluation index system will be able to predict more accurately the uranium target area and to optimize the project deployment of in-situ leaching uranium, improving the efficiency of the exploration and mining of uranium.