Increase the confidence in your block models with two new validation plot designs to help both geologists and engineers gain a better spatial understanding of grade distributions and the effect of grade variation when determining resource estimation, design, mine planning and project economics.
Data from block model workspaces can now be sent to the Basic Statistics application. This new feature provides the ability to generate charts quickly, such as histograms, probability, cumulative frequency and scatter plots of block model data. This provides a fast and visual way of interrogating interpolated data into block models. Both detailed and summary block model reports can now be generated.
A quick method to validate the quality of an estimate, the Swath Plot records the number of samples in each slice as well as identifies the average grade of both the block model and composites. Mining geologists can quickly compare and validate the block model estimation to the raw sample data. Once complete, this report can be used externally in other software applications. Additionally, the dynamic input dialogs allow multiple plots to be generated in the same workflow.
The Grade Tonnage Curve feature produces a chart that displays the average grade versus tonnage, so geologists may quickly understand the effect of mining at different cutoff grades. As the cutoff increases, the tonnage decreases. Once complete, this report can be used externally in other software applications. As with Swath Plot validation, the dynamic input dialogs allow multiple outputs to be generated in the same workflow.
With a redesigned log probability plot, improved labeling and a new Mean/Variance plot, geologists can use GEMS to highlight effective top cuts. As the top cut is increased, it affects the mean and variance of material to be mined. Inflections in the curve indicate strong outliers, which can be removed, minimizing the effect of the overall grade and top cut.
GEMS is now compatible with Microsoft Office 2013 and 2016, Windows 10 and Microsoft SQL Server 2014 for optimal database support.