The resulting mathematical model generates a contour plot mapping the optimum operating window, allowing engineers to identify the exact combination of parameters that maximizes grade or recovery while minimizing costs. 6. Regression Analysis and Empirical Modeling
: Developing predictive models to establish relationships between variables, such as energy consumption and throughput. 2. Sampling Theory and Practice Statistical Methods For Mineral Engineers
Geostatistics is arguably the most influential statistical discipline in mineral engineering, providing the mathematical framework to estimate the grade and tonnage of a mineral deposit from a limited set of drill core samples. Modern geostatistical methods, which account for spatial correlations, have become commonplace in quantitative resource assessment. The resulting mathematical model generates a contour plot
The book's primary strength is its , specifically bridging the gap between theoretical statistics and the messy reality of mine site data. The book's primary strength is its , specifically
These techniques are used to simultaneously model multiple grade variables (e.g., lead, zinc, copper, iron) and their mineralogical associations. A proper method requires a log-ratio transformation to handle the compositional nature of the data (where components sum to 100%), before applying cokriging for estimation.