Mining
QUAISR APPLICATION
Mineral processing plant optimisation
Link simulations with mineral processing control systems to optimise particle separation based on size and composition. Run adaptive algorithms to enhance machine efficiency and throughput.
- Challenge.
- The physics-based models that metallurgical facilities rely on to simulate unit operations are computationally intensive and slow, making real-time decision making difficult. Operators struggle to integrate insights into their workflows, limiting opportunities for process optimisation.
- Solution.
- Quaisr streamlines the orchestration of physics-based models, enabling facilities to develop surrogate models that accelerate decision making, without compromising accuracy. By working with quantified uncertainties, operators gain risk management capabilities. Interoperability with large language models (LLMs) provides direct insights, while intelligent automation determines when and where to use physics-based simulations versus data-driven models for maximum efficiency. Quaisr integrates with existing supply chain and control systems, ensuring a holistic and connected operational approach.
- Impact.
- With Quaisr, mineral processing plants can reduce model execution times, and enhance decision-making processes. Operators can interact with complex models through an intuitive interface, improve process efficiency and optimise resource utilisation.
QUAISR APPLICATION
Exploration planning and optimisation
Integrate exploration data with operational workflows to optimise drill-hole site selection. Run adaptive models that minimise uncertainty, and reduce reliance on expensive drilling operations.
- Challenge.
- The mining industry operates under time-sensitive exploration rights, requiring strategic decisions on when and where to drill. Drilling is expensive – with costs regularly in the millions per operation – and can be restricted by drill rig availability. Inherent uncertainties when selecting optimal drill-hole locations increase financial and operational risk, while companies strive to maximise the value of each sequential drill site.
- Solution.
- Quaisr streamlines exploration planning by integrating heterogeneous data sources under a unified strategy. By enabling smarter, data-driven decision making, Quaisr reduces reliance on costly drilling, and enhances real-time planning by supporting geoscientists to identify optimal sites for sequential data sampling. The platform connects exploration models with operational data to propose sequential drill-hole locations, effectively minimising uncertainty when infilling sparse geophysical data.
- Impact.
- With Quaisr, operators can optimise site selection, and reduce drilling costs while improving decision making for exploration activities. Enhanced connectivity between exploration and operations teams leads to efficient resource utilisation and lower financial risk. By accelerating site selection and reducing exploration costs, Quaisr prepares organisations for advanced strategic machine learning applications, including those not yet fully defined.
- Faster exploration
- with optimised drill-hole planning
- Data-driven
- decision making with lower operational risk
- Reduced uncertainty
- for cost-effective exploration
QUAISR APPLICATIONS
Additional solutions
- Chemicals
- Reduce physical experimentation.Supply chain carbon footprint.Virtual laboratory.
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- Consumer Goods
- Reduce physical experimentation.Increase product shelf life.Reduce line breakdowns.
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- Energy
- De-risk scenario planning.Offshore wind optimisation.Accelerate carbon reduction targets.
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