Inferential Control System in Predicting and Controlling Product Quality in Petrochemical Facilities Using Ensemble Machine Learning – Ali Abusnina, Saudi Aramco

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Session Outline

Controlling product qualities in refineries to accommodate business needs and efficiently meet contractual conditions without giving the refined product away is a challenging task in the petrochemical industry. An AI powered control system is a data-driven approach that can address this challenge. As part of Aramco’s journey in AI adoption, the mentioned approach was successfully implemented with a satisfactory predictive accuracy

Key Takeaways

  • The use of company data
  • The utilization of state-of-the-art open source models
  • The role of inferential control system

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