蒙特卡洛法在内蒙太平地地区金矿储量预测中的应用

The application of Monte C Lofa to the prediction of gold deposits in the Taiping area of Inner Mongolia

蒙特卡洛法是一种概率抽样的方法,它是在已知模型区大量资料的基础上(矿石量、品位等)来模拟未知区的资源量,应用蒙特卡洛法数学模型,可得出不同概率水平下的矿体资源量估计值,其前提条件是目标区域与己知矿床具有相同的矿床类型。本文分析了蒙特卡洛基本原理,并应用于太平地地区金矿资源量模拟。

Monte C Lofa is a method of probability sampling, it is based on a large amount of data on the known model （ore grade, etc.） to simulate the amount of resources in the unknown area, the application of Monte Carlo method mathematical model, that amount of mineral resources under different probabilities estimates, the precondition is the target area and has the same type of deposit deposit is known. This paper analyzes the basic principle of Monte Carlo, and applied to the area of analog Taiping gold resources.