Recent Developments In Geostatistical Resource Evaluation - Learning From Production Data For Optimized Extraction Of Mineral Resources

摘要

The resource model is the foundation for mineral project evaluation, mine planning and operations production control. The representativeness of such a model depends on both, the quality of data available and the modelling technique applied. This contribution reviews recent developments in geostatistical resource modelling first focusing on mapping uncertainty and evaluation project risk. In this context a method is briefly described, which allows the inference of geostatistical model parameters in the presence of strong trends. The second part introduces a concept for integrating online production data for updating resource/reserve models. The ability to utilize the value of this additional information and feed it back into reserve block models and planning assumptions leads to a Real-Time Mining concept and opens up new opportunities to continuously improve decisions made in production planning aiming for increased resource recovery and process efficiency.