Mineral and metallurgical processing industry
From ore characterization and processing to metallurgical accounting, our solutions allow mineral and metallurgical processing industry to save copious part of their capital and operating expenditure.
Improve the operational performance, profitability and sustainability of mineral and metallurgical processing companies
Maximize ore throughput, quality, recovery
Improve equipment design
Increase Key Parameter Indicators (KPI) reliability
Reduce power consumption
Adjust equipment operating parameters
Enhance process control
Design and optimize the mine-to-market process
Our advanced software applications for ore characterization, mass balance engineering and mineral processing simulation assist you every day to increase profitability and efficiency.
In particular, our process simulator USIM PAC offers the advantage of modeling and simulation in a single tool the whole transformation of ore: comminution, classification, heavy medium separation, gravity and magnetic separation, flotation, solid/liquid separation, hydrometallurgy.
Our software BILCO for data reconciliation by mass balance as well as our metallurgical accounting software solution INVENTEO are based on the most advanced data reconciliation algorithm on the market. The robustness and efficiency of our tools have been validated by the largest multinational mining companies.
Process modeling and simulation software
Data reconciliation by mass balance software
pressure drop calculator
Ore sampling and mineral processing
Our experts are at your service to help you getting the most out of your resources, whatever your application field in the mineral processing industry.
Copper, lead, zinc, nickel
Gold, silver, PGL (Platinum Group Metals)…
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Question about your process, our process simulation software or services? Write us here to be in touch.
CASPEO provides trusted process design and optimization services and simulation software to engineers dealing with solids and all types of raw materials. With CASPEO, go beyond process simulation.