Block Model Import
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Geological & Engineering Standards (Context)
Reference: JORC Code 2012 / KCMI 2019
Parameters should be derived from 'Modifying Factors' studies. The Optimization Engine uses these to calculated the Net Value per block (Revenue - Costs).
- Mining Cost: Incremental cost to mine a block (Waste or Ore).
- Processing Cost: Cost to process a tonne of ORE (includes G&A).
- Dilution/Recovery: Mining factors applied to the in-situ grade before economic valuation.
1. Economic Factors
2. Technical Factors
3. Optimization Settings
Controls
3D Interactive Viewer
About PitOp (Mine Planning System)
Geological & Engineering Principles
PitOp is a strategic mine planning tool designed to optimize Open Pit limits using the **Floating Cone Algorithm**. It adheres to industry standards (JORC/KCMI) by incorporating critical **Modifying Factors** to convert Mineral Resources into Ore Reserves.
1. The Algorithm: Floating Cone
The Floating Cone algorithm determines the ultimate pit shell by analyzing the economic value of each block in the model.
- Positive Cone: If a block and its overburden (cone above it) have a positive Net Value, they are mined.
- Slope Angle: The cone geometry is dictated by the Overall Slope Angle (e.g., 45 degrees), ensuring geotechnical stability.
- Net Value: Calculated as: (Revenue - Selling Cost - Processing Cost) - (Mining Cost).
2. Modifying Factors (The 'Real world')
To ensure 'Reasonable Prospects for Eventual Economic Extraction' (RPEEE), we apply:
- Dilution & Ore Loss: Simulating operational inefficiencies that reduce grade and tonnage.
- Metallurgical Recovery: Actual metal recovered by the processing plant (e.g., 75% for Sn).
- Economic Parameters: Commodity prices, mining operating costs (OpEx), and processing costs.
3. Compliance & Reporting
This tool aids Competent Persons (CPI) in generating:
- Pit-by-Pit Analysis (Sensitivity to Price)
- Reserve Statements (Proven/Probable) based on the optimized shell.
Developed by Orebit Engineering Team | v1.0.0 Stable