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作 者:王智纲 杨晋升 张瑞忠 Wang Zhigang;Yang Jinsheng;Zhang Ruizhong(Zhaojin Nonferrous Metal Mining Co.,Ltd.,Yantai 265400,Shandong,China;Zhaojin Mining Industry Co.,Ltd.,Yantai 265400,Shandong,China)
机构地区:[1]招金有色矿业有限公司,山东烟台265400 [2]招金矿业股份有限公司,山东烟台265400
出 处:《地质学刊》2023年第4期375-382,共8页Journal of Geology
基 金:国土资源部公益性科研项目“胶东招平断裂带深部特征与金成矿过程研究”(201511029-3)。
摘 要:在系统研究南美洲某浅成低温热液型金矿的基础上,提出利用3DMine软件构建矿化域模型和估算资源量的方法流程。首先创建钻孔数据库,对样品进行基本统计,确定矿化域的边界品位;根据矿化域边界品位值,采用NURBS圆滑工具依次构建实体模型和块体模型;然后通过特异值识别与处理、样品等长组合与变异函数拟合、交叉验证等方法,剔除特高品位,优化块金值、基台值和最大变程等参数;最后采用普通克里格法进行资源量估算。根据椭球搜索半径的不同划分出控制与推断两类不同级别的资源量,分别进行基于资源类别和品位品级的可视化表达。与传统方法相比,矿化域模型的构建能够直观地反映矿化体的三维形态、资源类别和矿石品级分布,而利用普通克里格法进行资源估算可有效提高工作效率和资源的可靠程度,为资源量管理和找矿预测提供充分的技术依据。Based on a systematic study of an epithermal gold deposit in South America,this paper proposes a process and a method for constructing a mineralized domain model and estimating the resources using 3DMine software.Firstly,an entity model and a block model were constructed by NURBS smooth tool according to the boundary grade value of mineralized domain obtained from the borehole database and the basic statistics of samples.Then,the extra high grade was removed and the parameters of nugget value,sill value and maximum range were optimized by the methods of identification and processing of outliers,sample isometric combination and variogram fitting,cross-validation,etc.Finally,the general Kriging method was used to estimate the resource quantity.Two kinds of resources of different levels of control and inference were divided based on the search radius of ellipsoid,and the visual expression based on resource category and grade was carried out respectively.Compared with the traditional method,the construction of mineralized domain model can directly reflect the three-dimensional form of mineralized body,resource category and ore grade distribution,while the use of ordinary Kriging method for resource estimation can effectively improve the efficiency and the reliability of resources,and provide sufficient technical basis for resource management and prospecting prediction.
分 类 号:P624.7[天文地球—地质矿产勘探] P618.51[天文地球—地质学]
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