Expertise to enhance accuracy of model predictions for process design and operations
As feedstock compositions, operating conditions and materials of construction evolve, there is continuous need to enhance the rigor and accuracy of electrolyte and process models to improve design and operations effectiveness.
OVERVIEW
Leverage deep expertise and software tools to expand chemistry property database and develop new models
Create new chemistry properties or develop new thermodynamic and kinetic models to enhance the understanding of electrolyte behavior over a wide range of operating conditions for thousands of applications in oil & gas, chemicals, metals and mining, power generation and water/wastewater treatment industries.
APPLICATIONS
Improve design and operations efficiency, sustainability and reliability
Utilize more accurate thermodynamic and kinetic models for mineral scaling, corrosion management, toxic contamination of water and air as well as related chemistry phenomena to deliver valuable business outcomes.
Expansion of a multicomponent lithium property database with proprietary client data that resulted in more accurate predictions and improved process design for lithium extraction from salar ponds.
Developed a new multicomponent complex chemistry database for a large global chemicals company to enhance model accuracy that enhanced productivity of R&D team.
Developed a new thermodynamic model to enhance quality of mineral scaling predictions for high pressure, high temperature conditions in offshore oil and gas production which resulted in higher operations efficiency.
Research collaboration with the Critical Materials Institute as part of a US Department of Energy funded program to develop new database properties for lithium extraction, purification and recycling from brines and ores to enhance operations efficiency and lower costs.
Expansion of a multicomponent lithium property database with proprietary client data that resulted in more accurate predictions and improved process design for lithium extraction from salar ponds.
Developed a new multicomponent complex chemistry database for a large global chemicals company to enhance model accuracy that enhanced productivity of R&D team.
Developed a new thermodynamic model to enhance quality of mineral scaling predictions for high pressure, high temperature conditions in offshore oil and gas production which resulted in higher operations efficiency.
Research collaboration with the Critical Materials Institute as part of a US Department of Energy funded program to develop new database properties for lithium extraction, purification and recycling from brines and ores to enhance operations efficiency and lower costs.
