AI for Refinery Modifications and Operations

By Jo-Anne Ting & Pushkar Kumar Jain

In the January 2021 issue of Hydrocarbon Engineering, we discuss how to deal with the high cost of legacy documents in refinery modifications and operations in our article “AI to the Rescue”.  We include an outline of our article below. Get in touch with us for a preprint of the article.

Some examples of pain points: 

  • Bidding and estimating
  • Project collaboration
  • Quality assurance and quality control
  • Digital conversion
  • Process modifications
  • Safety assessments
  • Knowledge management

What products exist out there to help engineers move away from repetitive, monotonous, and highly manual computer work – especially when the cost of making a mistake is so high?

3 disruptive technologies:

  • Deep net models
  • Supervised (shallow) models
  • Incremental/real-time learning


Benefits of a tool like DataSeer:

  • Reduce time
  • Reduce error
  • Standardize data
  • Export data for consumption in CAD & digital twin software