Sequential evaluation model of phased exploration data leading to sample optimization - A case study of Rampura-Agucha zinc-lead deposit, India

"Mineral exploration is an expensive speculative venture and calls for optimization of sampling. Exploration is generally planned in grid pattern to be conducted in phased manner. The objective of any such campaign is to assess the quality, quantity and its reliability. The traditional estimation methods are unable to provide a means of calculating the degree of reliability. Application of mathematical models can quantify the precision of estimation and bring forth decision-making criteria at any stage.In this paper three statistical and geostatistical models, viz., Frequency, Probability, and Semi-variogram, have been employed to evaluate sequential exploration data of RampuraAgucha zinc-lead deposit. The optimization in exploration for a specific objective has been highlighted.IntroductionAny exploration campaign demands heavy resource investment starting from the collection of the first sample to the production of the first ton of ore. The best estimation would be if the entire orebody is taken out and sampled. However, this is neither possible, nor desirable. Drilling is the primary tool of geological sampling. It shares the major portion of the investment and, thereby, warrants critical analysis at every stage during the ongoing exploration projects.The exploration program should be conducted as a well planned scheme based on a sequential evaluation approach in a phased way to achieve a specific objective. It would then be possible to evaluate exploration data at the completion of each phase by employing computer-based mathematical techniques to quantify the precision of the estimate for fulfillment of objectives. The subsequent drilling program should be modified accordingly."