Stochastic resource modelling and mine planning optimization
Course Outline
- Introduction
- Quantification of uncertainty creates opportunities, value, shelters investment and maximizes profits
- Frameworks for uncertainty modeling, profitability, optimization and mining operations
- Concepts and Techniques
- An intuitive introduction to Monte Carlo simulations and risk assessment
- Mining data analysis and description
- Grade estimation or simulation?
- Fast and efficient sequential conditional simulation algorithms
- Practice of Conditional Simulations for Risk Modeling in Mining
- Simulation based resource/reserve classification (gold and coal deposits)
- Drill hole optimization (coal)
- Reserve risk quantification, selectivity and dilution (nickel deposit)
- Fault simulation and uncertainty assessment (coal)
- Assessing risk in recoverable reserves and meeting project production schedules ahead of mining (gold deposit)
- Uncertainty in pit design and production scheduling with simulated ore bodies (disseminated gold deposit)
- Profitability and risk based grade control (gold deposit case study)
- Risk based optimal design for sublevel open stoping (underground copper mine)
- Stochastic production scheduling application and comparison to conventional scheduling (copper deposit)
- Product quality management and production scheduling with simulated deposits (iron ore deposit)
- Rehabilitation and environmental modeling (Spring water in space-time)
- Computer Workshops
- Simulation of a lateritic nickel deposit with SGeMS and assessing the risk from resource variability
- Stochastic production scheduling in a copper deposit