Diaz’s PhD research will compare conventional linear geostatistics, or kriging based methods, with non-linear techniques. It will be analysed the differences among non-linear geostatistical methods to accurately estimate resource variables using mining data from a narrow vein gold silver deposit in Laos. This will be achieved through extensive data analysis and comparison of different non-linear geostatistical techniques. It is expected that for the majority of mining estimation, spatial dependence structure is non-linear. If this is the case then non-linear techniques developed in other industries may be retooled to address mining problems. This research will provide marginal improvements in resource estimation and better quantification of certainty that can have significant impacts on development decisions. This project aims to improve the accuracy of focusing and to quantify these improvements

Project members

Adrian Diaz

Adrian Diaz

PhD candidate