Machine Learning
and process simulation

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Why use
Machine Learning? 

Machine learning and simulation have a similar goal: To predict the behavior of a system with data analysis and mathematical modeling.

It is for every engineer who needs faster model predictions than flowsheet simulators can provide. Surrogate Models run independent of the flowsheet simulator.

How we shape "The Future of Process Simulation"

Interaction-PE-SE-ML

Case studies

Multivariate Sensitivity Studies and Machine Learning for Plant-Wide Optimization

Embedding a Surrogate Model in a Process Simulator: Prereformer Reactor Project

Ammonia Syngas Plant: Process Improvement by application of Multi-Input-Multi-Output (MIMO) Surrogate Models

Poster-Ammonia-Syngas-Plant-with-SM

Choose a smarter way to work with flowsheets

The better we understand you and your needs, the better we can provide you with specific support and advice. Get in touch!

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