The Consequences Of Block Size Decisions In Ore Body Modelling

Selection of a block size for a computerized 3 dimensional ore body model is an exercise in compromises. Larger blocks decrease the use of computer resources and decrease the variance of the block estimates. Smaller blocks increase the resolution of the model and the selectivity which can be used in the planning, but increase the variance of estimates in the individual blocks. A common rule is that blocks can be as small as one fourth the average sample spacing, however this ignores the interrelationship between the block size, the sample spacing, and the variogram model. This paper will explore this relationship Kriging estimation variance will be used as a comparative measure of estimate quality. Graphical techniques will be used to show that there is a point where smaller block sizes cease to contribute to the resolution of the model. A method of evaluating the consequences of block size decisions will be examined.