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The latest news and updates from Imubit.

This quarter, the Q&A section of Petroleum Technology Quarterly (PTQ) was loaded with interesting content about the application of AI and ML in refining and where refiners can expect to see the fastest return on investment (ROI) on these technologies. Imubit’s Principal Hydroprocessing Engineer weighed in on AI applications in closed loop process optimization and the impact our customers are seeing on their business.

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Three of the most common myths about using reinforcement learning based optimization technology in closed loop. Busted. By Allison Buenemann, Product Marketing Manager at Imubit The application of reinforcement learning (RL) in the optimization and control of industrial processes, while successfully proven, is still relatively new in an industrial software market where incumbent closed loop […]

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Big West Oil shares their triumphs from implementing Deep Learning Process Control technology. By Allison Buenemann, Product Marketing Manager at Imubit Big West Oil operates a complex, high-conversion refinery in North Salt Lake City, UT. The refinery has a crude capacity 36 kbd and typically sources crudes from Utah, Wyoming, Colorado, and Canada. In a […]

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An overview of adoption and maintenance strategies of modern AI-based APC sponsored by the AFPM OPCAT committee. By Allison Buenemann, Product Marketing Manager, Imubit American Fuel and Petrochemical Manufacturers (AFPM) recently published a white paper on the Maintenance and Adoption of AI-based APC. This paper was a collaborative effort between AFPM’s Operational Planning, Controls, and […]

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