准确预报可回收储量是开发和规划一个矿山的关键。本文定义了矿石量、品位和金属量的可回收函数,并就它们的估算推荐了两种方法。指标克立格法(IK)依靠数据的级序,多元高斯法(MG)依靠的是对品位多元变量分布模式的假说。尽管两种方法的前提不同,却得出极为相似且合理准确的可回收储量估算值。 Accurately forecasting the recoverable reserves is the key to developing and planning a mine. This paper defines the recoverable functions of ore volume, grade and metal content, and recommends two methods for their estimation. Metrics Kriging (IK) relies on the order of the data, and multivariate Gaussian (MG) relies on the hypothesis of the pattern of multivariate distribution of tastes. Although the two methods have different preconditions, they yield very similar and reasonable estimates of recoverable reserves.