Resource estimation is a compilation of data collection and analysis, geological interpretation and geostatistical estimation. The process is expertly summarized in a recent article by Erik Ronald, Is your Mineral Resource or Reservoir Model Fundamentally Flawed? – The Importance of Domaining and Stationarity to Geologists.
Stationarity of our data and the influence of geology on the distribution of grades are key underlying concepts of this process. The semi-variogram is the principle analytical tool for establishing whether or not our data posesses stationarity. Stationarity assumes the expected value of the mean and the variogram are not changing between locations within a particular geological domain. What this means is that if we don’t develop a good geological model, and analyze and segregate our data by geological domain prior to geostatistical estimation, then the resulting resource estimate is going to be fundamentally flawed.
To learn more about these concepts and how to avoid the modeling pitfalls, there are two upcoming short courses in April 2016 by two of the the mining world’s top specialists in resource estimation.
Click the titles above for more information or to register for these short courses, or contact Sandra Wunsch at firstname.lastname@example.org.
If you cannot make it to either of the short courses then there is an online self-directed course that covers the concepts in detail, with extensive worked examples.
• Practical Geostatistics, Modeling and Spatial Analysis by Simon Houlding
To study this courses you will first need to enroll in EduMine.