To: Letmebe Frank who wrote (24180 ) 8/18/1999 9:20:00 AM From: Letmebe Frank Respond to of 26850
Resource evaluation for Diamond projects - Malcolm Thurston, MRDI, San Mateo, USA [FWIW - LMBF]bc-mining-house.com Diamonds are different to other minerals. Firstly, they occur as discrete particles in concentrations as low as parts per billion. Secondly, the release of diamonds from the kimberlite host (or lamproite) is a function of the excavation and treatment process. Thirdly, the value of diamonds varies from pipe to pipe and varies with size within a given pipe. These aspects must be taken into consideration when sampling, evaluating the resource and establishing the reserve of a kimberlite body. To evaluate the resource, information is collected in a phased approach. The types of information required includes geological, grade, diamond size information, diamond value information and metallurgical information relevant to moving the resource to a reserve. In estimating the resource and reserve a number of models are developed. In the geological model, features are identified that would affect the spatial distribution of the chosen grade variable. In the statistical model the histogram and spatial distribution of the grade variable is analyzed and quantified. The estimation model will define how the estimation will take place and should be appropriate to the geological and statistical models developed. The diamond value model defines the change in value with size, the color, quality and shape characteristics of the diamonds and any spatial variation in value. The recovery model is used to move the resource to the reserve and takes into account, among other things, aspects of mining and treatment at the final production plant. The recovery model may include changes to the average dollar per carat value to allow for differences between sampling and sample treatment and mining and the final production plant. Micro-diamonds are stones less then 0.5 mm in size extracted from kimberlite (or lamproite) using a caustic fusion process. Micro-diamond analysis involves the modeling of the micro-diamonds in such a way that a macro-diamond grade can be predicted from the model. A number of potential errors can occur in micro-diamond analysis. These include, poor recovery of stones, a poorly calculated size distribution, poor modeling of the grade-size relationship and non-representative samples. A discounting of the micro-diamond grade is usually needed as the caustic fusion process releases more stones than would be achieved in a commercial production plant.