证据权模型与含矿网格单元蒙特卡洛法相结合的资源潜力评价新方法

• 作 者: 浦路平 朱国器 林锦富 陈三明
• 机 构: 桂林理工大学 桂林541004;广西壮族自治区地球物理勘察院 广西柳州 545005
• 出 处: 地质科学
• 发表日期: 2017年4期
• 关键词: Ore-cell Monte Carlo Method Mineral resource potential assessment Weights of Evi

本文提出了计算含矿单元数概率分布函数的新方法,在此基础上,把证据权模型矿产资源评价方法得到的含矿网格单元作为蒙特卡洛模型中的统计对象,得到了与证据权模型找矿法结合的含矿网格单元蒙特卡洛法矿产资源潜力评价方法.该方法可以把评价工作区的矿产空间分布信息、成矿模式和找矿模型、成矿—找矿空间信息引入蒙特卡洛方法中,无需估计矿床个数分布,减少了工作步骤和评价误差,可提高工作效率和自动化.对实际案例的应用表明该方法是可行的.“,”In this paper,a new method for calculating the probability distribution function of orebearing elements is proposed.On this basis,the ore-bearing cells obtained by the Weights of Evidence Model mineral resources are used as the statistical objects in the Monte Carlo Model,which is “Mineral resources potential assessment method of ore-cell-based Monte Carlo combining Weights of Evidence Model”.This method introduces the mineral space distribution information,metallogenic model and prospecting model and mineralization-prospecting spatial information into the Monte Carlo Method,without having to count the spatial distribution of number of the deposits,reducing the working steps and the evaluation error,improving the work efficiency and automation.A case of mineral resources potential assessment with the new method shows the method effectively and feasibly.