Anil Godumagadda

Vice President, Digital Solutions Patterson-UTI

AI in Energy Week Day One - March 2, 2027

1:10 PM Putting AI to Work on the Rig: Machine Learning for Equipment Reliability & Drilling Performance

With nearly 90 rigs and more than 6,000 sub-second data points captured across four rig types and control systems, Patterson-UTI Drilling Company has built the digital foundation to deploy AI directly into drilling operations. This session goes beyond the architecture to explore how machine learning is being applied to equipment usage, asset maintenance and drilling performance, helping improve reliability, reduce downtime and unlock greater operational efficiency across the fleet.

This case study will explore how Patterson-UTI:

• Moves ML from cloud to rig: training models in the cloud and deploying them at the edge to analyse equipment performance and deliver real-time operational guidance.

• Uses AI to improve reliability and efficiency: identifying unnecessary fuel consumption, monitoring critical parameters and detecting leading indicators of equipment failure before downtime occurs.

• Learns from what doesn't work: sharing lessons from early ML deployments, including a model that contributed to a rig blackout, and how those experiences have shaped a more reliable approach to deploying AI in live drilling environments.

Check out the incredible speaker line-up to see who will be joining Anil.

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