Stope Optimization Software
Optimize Stopes. Model Dilution. Compare Scenarios.
Define optimal stope boundaries using NPV optimization on geological block models. Generate mining units with three cluster methods, calculate dilution and ore loss using ELOS, and compare scenarios to select an extraction strategy that fits your costs and recoveries. Export wireframes for direct use in underground mine design and downstream planning.
Download Presentation NPV-Based Optimization
Economic optimization with recovery, price, royalty, costs, and discount rate parameters.
Cluster Generation Methods
Three methods: Regular grid, Adaptive size, and Guide lines to match deposit geometry and mining method.
Dilution and Loss Calculation
Normative method and ELOS (Equivalent Linear Overbreak Slough) for realistic dilution and ore loss calculation.
Scenario Comparison
Side-by-side analysis of optimization runs with charts and summary tables.
Optimize Stopes for Massive, Vein, and Layered Deposits
The module handles any deposit geometry: massive ore bodies, narrow veins, and stratified deposits. Cluster generation adapts to orebody shape and orientation using dip and strike angle correction.
Wall slope optimization adjusts near and far walls independently to match geotechnical conditions and mining method requirements.
Scale Optimization from Local to Global
Optimize small sections of a deposit or the entire orebody in a single run. Divide complex deposits into zones for individual optimization, then combine results into a unified extraction plan.
This flexibility allows detailed control over high-grade areas while maintaining consistency across the full deposit.
Select a Cluster Generation Method
Choose from three cluster generation methods: Regular grid for uniform deposits, Adaptive size for variable mineralization, and Guide lines for structurally controlled orebodies. Each method produces mining units sized for your equipment and stoping method. Cut-off grade optimization is available by content or by economic expression.
Constrain Stope Shapes to Mineable Geometry
Define geometric constraints for cluster shapes to match mining requirements. The shape editor allows custom block profiles that comply with stoping methods and ground support standards. Adjust minimum and maximum dimensions, aspect ratios, and orientation constraints. Shapes adapt to operational requirements while maintaining mineable geometries.
Model Ore Recovery and Dilution
Calculate ore losses and dilution using two methods: Normative (fixed percentages based on mining method) and ELOS (Equivalent Linear Overbreak Slough) for empirical prediction based on rock mass conditions.
Economic parameters include mining recovery, processing recovery, commodity price, royalty, mining cost, processing cost, and discount rate. The optimizer balances grade against extractable tonnage.
Compare Optimization Scenarios
Compare multiple optimization scenarios side by side. Analyze the impact of parameter changes on tonnage, grade, dilution, and economic value using charts, graphs, and summary tables.
Filter and sort results to focus on critical metrics. Select the best scenario based on objective comparison of technical and economic indicators.
Export Results to Underground Mine Design
Optimization results output as textured wireframes for clusters, source stopes, and optimized stopes. Import directly into underground design workflows for detailed stope design and engineering.
Results provide the foundation for mine planning, production scheduling, and economic evaluation of underground projects.
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Frequently Asked Questions
Stope optimization software defines mineable stope shapes using block model data and economic inputs to maximize NPV while respecting geometric and geotechnical constraints. It outputs shapes for detailed design and evaluation.
Three methods are available: Regular grid for uniform mining units, Adaptive size for variable mineralization, and Guide lines for structurally controlled orebodies. Each method suits different deposit types and stoping methods.
Two methods: Normative uses fixed dilution percentages based on mining method, and ELOS (Equivalent Linear Overbreak Slough) calculates dilution empirically based on rock mass quality and stope geometry. Both integrate with NPV-based economic optimization.
Mining recovery, processing recovery, commodity price, royalty rate, mining cost per tonne, processing cost per tonne, and discount rate. Cut-off grade optimization is available by content or by economic expression.
Optimization results export as textured wireframes for clusters and optimized stopes. These import directly into K-MINE Underground Design for detailed engineering, ventilation planning, and production scheduling.
Yes. K-MINE optimizes mineable stope shapes using block model data and economic inputs to maximize NPV. Three cluster generation methods (Regular grid, Adaptive size, Guide lines) adapt to any deposit geometry and mining method. Dilution is calculated using ELOS or normative methods, and results export as wireframes for underground mine design.
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See how this module can help your mining operations.