Stope Optimization & Scenario Comparison

K-MINE's stope optimization module delivers engineering-level determination of underground stope boundaries, maximizing ore recovery while controlling dilution and maintaining economic performance. This walkthrough covers the full workflow — from block model input and geometric constraint definition through economic parameter configuration, multi-scenario generation, and comparative analysis.

The stope optimizer is built for engineering-level optimization of underground stopes. Its objective is to maximize ore recovery while controlling dilution and maintaining economic performance. The module operates on a block model-based evaluation, identifying economically viable stoping volumes under defined geological, geometrical, and operational constraints.

The module supports different deposit types and mining methods. Engineers can configure stope shapes, dimensions, and economic criteria — including cut-off grade, value thresholds, and tonnage parameters. Optimized stopes are visualized directly in 3D and can be exported for further underground planning, scheduling, and design validation. This makes the module a practical bridge between the geological model and the mine planning workflow.

To begin, load the geological block model and select the target quality parameters. Technological constraints — including dip angles, cluster spacing, and stope geometry — are defined based on the selected mining method. A built-in shape editor allows flexible customization of stope profiles, ensuring compliance with both mining and safety requirements.

The next step is to configure the economic component of the scenario. The user selects the optimization method, which defines the calculation logic, determines the cut-off grade grid, adjusts cluster quantity factors, and sets key economic parameters.

In the example shown, grid-based optimization is applied using a fixed iron cut-off grade of 53%. The module supports cut-off definition by content or by economic expression, with configurable inputs including metal price, royalty, and mining and processing costs.

Defining the limiting wall angle is a critical step: these parameters directly affect stope flexibility and are determined by mining technology and rock mass stability conditions. Both dilution and ore loss are incorporated into the optimization process. Multiple methods are available — including the normative method (fixed percentages) and ELOS (Equivalent Linear Overbreak Slough) — to ensure accurate volume estimation and alignment with the selected mining method.

Once the calculation is complete, results appear as dedicated layers. Each block is displayed in randomized colors for visualization purposes. The optimized stopes can be used directly for underground design, scheduling, and production planning.

To evaluate which scenario performs better under real mining conditions, K-MINE supports generation and comparison of multiple stope optimization scenarios.

Scenario 1: Connect the block model containing grade data. Select the target valuable component, define stope geometry, and specify key parameters — cluster spacing, dip angle, and optimization method. In this example, a grade-based approach is applied with a minimum cut-off grade of 53% iron. Sidewall constraints are defined including maximum wall angles and allowable shifts. Dilution and ore loss parameters are introduced to reflect realistic mining conditions. Run the calculation and review results in the results table.

Scenario 2: Adjust selected economic and geometrical parameters. Calculate and evaluate how these changes affect recoverable volumes and grade.

Scenario 3: Modify the cut-off grade, dilution, and loss parameters. This step is used to assess sensitivity to technological constraints.

After calculating all scenarios, sorting and grouping tools and a comparative bar chart are used to evaluate results side by side. The chart clearly highlights differences in mining volumes, grades, losses, and dilution across scenarios. The chart can be exported and included directly in technical reports for further analysis.