Our research efforts are focused on computationally complex methods that aim to maximize a mine’s value, while effectively mitigating technical risk. Within the context of today’s dynamic mining economy, the techniques developed within COSMO substantially outperform traditional methods.
COSMO’s Smart Mining Complex Optimization methodologies possess the ability to incorporate several mines, a series of complex processing streams, strict blending requirements and highly heterogeneous mineralized orebodies. These methods lie on the frontier of the computational mining engineering field.
Research areas include:
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- Simultaneous stochastic optimization of mineral value chains with new smart technologies, and dynamic planning options
- Self-learning decision support systems for mine production scheduling of mining complexes based on reinforcement learning and other AI based methods
- Short-term production planning of mining complexes integrating new sensor and production information, and model updating capabilities
- High-order, non-linear, non-Gaussian stochastic simulation models of geological risk
- New statistical learning models, data analytics, and pattern recognition of geological information
- New artificial intelligence framework for production planning and operations
- Mine planning optimization integrating waste management and environmental risk and rehabilitation
- Surface and underground mining methods in the context of the above
- Exploring, modelling and integrating grinding and process ability characteristics for mine production optimization (geometallurgy)
- Mineral value chain optimization with supply (mineral deposits) and demand (market) uncertainties
- Real options and financial aspects of mine production and mine valuation
- Advanced visualization
Collaborative research centers include:
