• Modeling of complex systems for obtaining valuable information on research and development stages of engineering projects and / or contingency processes.

• Statistical Process Analysis.

• Factorial experimental design.

• Process optimization based on the phenomenological statistical history of the process.

• Process design: modeling, mass balance and energy, process equipment sizing.

• Development process engineering: from preliminary simulations, design and development of bench testing, pilot testing planning, process design.

AUTHIEVRE CRC - Lithium & Potash Engineering Consulting.