Laying the foundations for industrial AI

In this episode of the Hydrocarbon Engineering Podcast, we’re joined by Simon Rogers, Chief Technology Officer at KBC (A Yokogawa Company). Simon explains how physics-based models, AI, and contextualised enterprise data are converging to improve performance and decision making in the downstream sector. We discuss:  What has changed in the industry that makes process twins and industrial AI possible today. Why process twins are a prerequisite for industrial AI. Organisational and cultural challenges facing refiners when implementing process twins and industrial AI. Practical steps that refiners should take today to prepare for increasingly autonomous operations. And much more. This episode of the Hydrocarbon Engineering Podcast is sponsored by Sherwin-Williams Protective & Marine.   Sherwin-Williams Protective & Marine delivers world-class industry subject matter expertise, unparalleled technical and specification service, and unmatched regional commercial team support to customers around the globe, including in the energy market. The company’s broad portfolio of high-performance coatings and systems – including protective liquid and powder coatings, as well as fire protection coatings – excel at combating corrosion and help customers achieve smarter, time-tested asset protection. For more information, visit protective.sherwin.com.