Inferential Control System in Predicting and Controlling Product Quality in Petrochemical Facilities Using Ensemble Machine Learning

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

• 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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Ali Abusnina – Chief Data Scientist | Saudi Aramco

Dr. Abusnina is an AI expert with +10 years of experience in the AI domain. He is currently a chief data scientist at Aramco.ai division under the digital transformation. Prior to joining Aramco last year, he was leading the data science teams in Boehringer Ingelheim digital lab in Germany, and worked for few years as a data science consultant for Cognizant technology solutions. He has done an engineering doctorate degree in data-driven modelling at the University of York and an MSc from Bournemouth University.