Predictive Maintenance and Production Optimization in Offshore Energy

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Predictive Maintenance and Production Optimization in Offshore Energy

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Use of artificial intelligence saved Equinor USD 130 million in 2025. AI is a central part of Equinor's operations. Moving forward, AI will become even more important for solving industrial tasks safely, faster, more profitably, and at scale. With AI, Equinor can analyse seismic data ten times faster, plan wells and field development in new and better ways and operate facilities more efficiently. Equinor currently has a range of AI solutions in use, and over a hundred new use cases have been identified. Three valuable contributors that have been implemented: Monitoring of over 700 rotating machines with 24,000 sensors across all facilities for predictive maintenance. This predicts failures and maintenance needs, improves safety, provides more stable operations, and reduces the risk of sudden shutdowns that can lead to flaring and increased CO2 emissions. This alone has created value of USD 120 million since 2020. AI-driven planning of wells and field development generates thousands of alternatives, allowing the experts to focus on the best proposals. In the Johan Sverdrup phase 3, AI found a solution that no one had considered, saving the partnership USD 12 million. AI is also used to interpret more seismic data faster with a tenfold increase in interpretation capacity. Since 2020, Equinor has realized values of over 330 million USD with AI, of which 130 million USD came in 2025.

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