Comparing Stope Optimization Scenarios

In this video, we explore the process of comparing three different stope optimization scenarios, showcasing the flexibility and precision of the K-MINE module. This type of analysis enables mining engineers to evaluate the impact of various parameters on mining efficiency and select the most suitable solution for specific deposit conditions.

The process begins with the setup of the first optimization scenario. First, we connect the block model containing ore grade data. Next, we select the target valuable components for analysis and define the cross-sectional shape of the mining block. By configuring cluster spacing and dip angle, we precisely determine the future stope block boundaries. We then choose the optimization method, “by content,” and set the minimum grade at 53% Ferrum.

In the Side Walls tab, we specify limits for shifts and maximum angles for the near and far walls, ensuring these parameters align with the mining method and real-world geological constraints. Values for dilution and losses are also entered to create a realistic picture of ore recovery. After applying these settings, the results of the first scenario are displayed in a table, detailing all key indicators.

To set up the second optimization scenario, we use a new template to modify economic and technical parameters. This scenario involves changes to the cut-off grade and adjustments to the geometric parameters of the block. These modifications help evaluate the impact of parameter variations on ore recoverability, grade, and economic efficiency. After calculation, the results of the second scenario are added to the table.

For the third scenario, we adjust the cut-off grade and modify dilution and loss parameters. These changes provide insights into how technological constraints influence optimization outcomes. After completing the calculations, the results of this scenario are also displayed in the table, finalizing the setup of all three scenarios.

Next, we compare the results. By sorting and grouping the data, we generate a comparative bar chart to visualize differences in key parameters such as mining volumes, ore grade, losses, and dilution. The process concludes with exporting the chart as an image file, which can be used for reports or further analysis.

This video demonstrates the powerful tools K-MINE offers for the flexible setup and comparison of stope optimization scenarios. This approach enables engineers to make informed decisions, enhance the economic efficiency of deposit development, and minimize ore losses.

Thank you for watching, and we’ll see you in the next video!