Abstract
In the grade control panel area, when the sampling grid is less than the size of block, the grade is highly smoothed and has very minor variability with the actual true value interpolated by Kriging, which is completely different with the actual block grade and tonnage-grade model. In this paper, the optimized the grade distribution and spatial variability were studies by conditional simulation in the Selective Mining Unit (SMU), avoiding the high smoothing effect by linear estimation.
Highlights
Geostatistics mainly consists of two important fields which are the conditional simulation and kriging
To determine Z(x)’s conditional simulation Zsc(x), it is to identify an achievement of isomorphism regional variable Zsc(x) with Z(x) which is equal to the measured value on the measured point x0, that is ZSC x Z x0 x 0 (1)
As for the estimation model, when the sample spacing is less than the actual block size, the interpolated block grade model by kriging may have large differences with the actual mining activities, caused by the high smoothing effect
Summary
Geostatistics mainly consists of two important fields which are the conditional simulation and kriging. The trend of geostatistics study is turning from linear or nonlinear Kriging theory to the conditional simulation. Kriging is mainly used to estimate the global Mineral Resources/ Ore Reserves, but due to the high over smoothing effect, kriging is not suitable for local or recoverable Resource/Ore Reserve estimation. Conditional simulation has more features on the variability of spatial data with the same statistical characteristics of original data. The two different fields represent two different aspects in one same thing, and are not conflicting but complementary
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