Chemistry insights are critical for industrial applications
Behavior of electrolytes and water dictates the effective design and operation of equipment and processes
Behavior of electrolytes and water dictates the effective design and operation of equipment and processes
Enhance operations efficiency, reliability and lower costs with rigorous insights
Solve complex chemistry-related design and operations challenges with insights from OLI’s first principles-based models, resulting in optimized material selection, improved asset reliability, enhanced process yield, and increased R&D productivity.
"OLI Systems software saves you from extensive lab testing and enables you to focus on selecting the right materials. With OLI Systems, the process is much faster and simpler."
Liu Cao
Senior Research Engineer, DNV GL
Analyze chemical streams, predict mineral scale formation, manage corrosion risk and optimize process design
Utilize rigorous thermodynamic and kinetic models with property databases to deliver accurate chemistry and process insights for the most complex environments.
Chemical Stream Analysis
Perform a broad range of single and multiple point equilibrium calculations with advanced mechanisms to study trends in acidity, temperature, pressure, concentration, and more to enable cost effective, high quality process design, rapid operations troubleshooting, reduced physical experiments and enhanced environmental compliance.
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Mineral Scale Prediction
Simulate fluid production from reservoirs with phase mass balance, scale tendencies and scale mass of production fluids using full phase equilibrium and quantitative partitioning calculations to deliver granular, predictive insights to increase production yields and enhance design quality.
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Aqueous Corrosion Management
Predict general, localized corrosion and useful asset life; analyze the impact of heat treatment, kinetics, transport properties, temperature, pressure, acidity and concentration to optimize materials selection, lower experimental costs and increase operational efficiency and asset reliability
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