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Real Time Optimization
Advanced Process Control Engineers continuously seek to improve and optimize their processes. It may be to ensure you are not loosing diesel into the atmospheric residue or extracting a few more molecules of propylene in your propylene splitter.
We strive to build operations models to support APC and process engineers to set accurate targets through rigorous as well as hybrid machine learning models integrated with their plant data historian systems that can be run on a continuous basis.
Such operations models can be implemented off-line or online. The most advanced applications of this kind are online closed-loop. Equation-Based Modeling Tools such as HYSYS, Aspen Plus or ROMEO would be utilized for such digital twin models
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