The Navigance Blog
Sharing new thinking and expert insights from the world of chemical production optimization.
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In this article, we explore the role, common uses and limitations of the first principle approach to chemical process modelling. And we contrast this with the advantages and disadvantages of using empirical or statistical models.
We then look at how taking the first steps into new, intelligent 'hybrid' models can deliver the best of both approaches and more than the sum of their parts.
AI-enabled data analysis unlocks hidden process optimization potential, effortlessly and without tying up your resources. Our free white paper reveals where to start.
Recently, Nitrogen+Syngas published an article about the growing importance of technical services for chemical producers in their May-June 2020 issue.
Smart use of your plant’s data can take process efficiency to a higher level. Hybrid models driven by artificial intelligence deliver the best results for the least effort. And you don’t need a data science degree to enjoy them.
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Join, meet and hear from the Navigance team at our upcoming events.
Or look back on what we did and shared at others we attended recently.
Predictive Analytics World for Industry 4.0
11 - 12 May 2020
CRU Nitrogen + Syngas 2020
17 - 19 February
World Forum, booth #90
The Hague, The Netherlands
Argus Methanol Forum 2019
09 - 11 September
The Woodlands Waterway Mariott
The Woodlands, TX, USA
It’s time to optimize your operation.
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