Digital: Hybrid modeling: Unlocking the value of data for oil industry assets
We live in a world increasingly driven by data scenarios for advanced analytics, predictive modeling and machine learning (ML), but how reliable is this for large oil and gas assets where safety and reliability are of paramount importance?
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The Author
Eide, E. - Kongsberg Digital, Oslo, Norway
Eivind Eide is a Senior Engineer at Kongsberg Digital. Based in Oslo, Norway, he has solid experience in applied ML, hybrid ML and software development for industrial applications. He leads a team developing mathematical modeling powered SaaS products for the energy industry. Mr. Eide earned an MS degree in information engineering from the University of Cambridge.
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