What’s New: GEOVIA Surpac 6.7.4

Surpac 6.7.4 provides over 50 updates and enhancements including the following:

  • When entering input values in the fields on any form, the fields that contain invalid values are now highlighted in red. This usability improvement makes finding missing entries or typos very quick.
  • Solid volume reports now have a more detailed table format, enabling quick validation and spreadsheet ready formatting.
  • The new Circumcircle function can be used to generate a circle by selecting three points in the Graphics window. The points can exist on any plane. This may be useful for defining geological features such as fault planes in open cut pits.
  • Graphical rotation of data has been improved to allow segment, string and layer rotation along with user-editable fields for the point of rotation. This improves flexibility and usability of these functions.
  • Memory management has been significantly improved while adding new attributes to block models. This will improve performance and stability of the software.
  • Changes to the solid/surface intersection functions now allow user control over the way coincident surfaces are treated. The Default preferences settings can be used to adjust the movement direction and magnitude of one of the input trisolations. This enables greater tolerance for detecting and moving triangulation’s that are coincident.

To learn more about what’s new in the software releases, click here attached Release Notes or reach out to your Partner Success Manager.

WHAT’S NEW: Advanced Geostatistics And Data Analysis Tools

Mean/Variance Plot assists in determining cutoffs
With a redesigned log probability plot, improved labeling and a new Mean/Variance plot, geologists can use Surpac 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.

Declustering reduces biased results
Declustering provides improved data visualization and validation to avoid clustered high grade values that can minimize and bias results. Surpac users can generate a report and chart based on various cell sizes, which enables the determination of best cell size and estimation of different cell sizes for declustering. Surpac identifies if the data in each one of the cells is clustered or not, reducing the weighting of the grade to get a more accurate grade estimate for each estimation point.

Swath Plot validates the quality of the estimate
A quick method to validate the quality of an estimate, the Swath Plot records the number of samples in each slice as well as identifying 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.

Grade Tonnage Curves summarize mineral inventory information
The Grade Tonnage Curve feature produces a chart that displays the average grade versus tonnage, allowing geologists to quickly understand the effect of mining at different cutoff grades. As the cutoff increases, the tonnage decreases. Once complete, this report can be used in externally in other software applications.

Enhanced Dynamic Anisotropy for better estimation using DTM trend surfaces
Dynamic Anisotropy is the ability to estimate using stored ellipsoid orientation information from attributes within the block model. By storing the dip and dip direction of the trend surface DTM triangles to a string file, Surpac users can then populate the Block Model using the existing ‘Assign from Polygon’ estimation function.

Advanced Block Modeling
With variable sub-celling, geologists are no longer required to house areas of different drilling density in separate models. When using estimation functions such as Ordinary Kriging, Inverse Distance, Nearest Neighbor, and Simple Kriging, Surpac’s customizable Block Model allows geologists to specify user block size during estimation. As a result, geologists have greater flexibility by maintaining all blocks in a single model.