Resource/Reserve Estimation Of Marine Diamond Deposits

The resources and reserves calculation of marine diamond deposits should be based on a systematic sampling grid. The distribution of the sample grade results tends to be very skew and has a large variance. A bias is easily introduced due to the fact that the grade distribution of the samples is very different from the grades of the area of influence. The temptation is always there to extrapolate the highest grade samples simply to their area of influence. If this is done, the higher grade areas will be systematically overestimated, while the lower grade areas will be underestimated. Such a bias should surely be avoided by weighing the sample grades in such a way with their neighbours, so that the estimated grades have a similar distribution as the grades of the blocks. The grade distribution of small mining blocks tend to be lognormal-like. If the coefficient of variation is known, i.e. the standard deviation divided by the mean, then the grade distribution of the small mining blocks is relatively well-defined. The distribution of the diamonds within the deposits can be simulated, based on the histogram of the sample results and on the semivariogram. The diamonds tend to cluster in trapsites. From the semivariogram and the histogram, the average size and spacing between trapsites, and the grade distribution within the trapsites, can be calculated using the model of the General Family of Discrete Distributions. Using such a simulated deposit, the grade distribution for different block sizes can be obtained. The grade distributions become more lognormal-like with increasing block sizes, as the trapsite effect is reduced.