Source: Equinor
To realize Equinor's goals for the Norwegian continental shelf by 2035, while enhancing energy security and ongoing value creation, AI is essential.
Equinor has implemented a variety of AI solutions, with over a hundred new use cases identified. Here are three valuable contributions that have been put into action:
- Monitoring over 700 rotating machines with 24,000 sensors across all facilities. This initiative predicts failures and maintenance needs through predictive maintenance, enhancing safety, stabilizing operations, and lowering the risk of sudden shutdowns that can lead to flaring and increased CO₂ emissions. This alone has generated USD 120 million in value since 2020.
- AI-driven planning for wells and field development generates thousands of alternatives, allowing experts to concentrate on the most promising proposals. In the Johan Sverdrup phase 3, AI identified a solution that had previously gone unnoticed, saving the partnership USD 12 million.
- AI is also utilized to interpret seismic data more rapidly. This tool enhances interpretation capacity tenfold, enabling the analysis of more data across larger areas. With AI, approximately 2 million square kilometers were interpreted in 2025, improving the overall understanding of the Norwegian continental shelf. A solid geological understanding is vital for new discoveries, making this an invaluable tool.
Since 2020, we have realized values of over 330 million USD with artificial intelligence in industrial processes, of which 130 million USD came in 2025. We primarily use 'traditional' machine learning on our operational data. Our employees can use AI tools like copilots, chatbots and agentic AI to solve tasks and work in new ways
Skryseth
Equinor's goal is to sustain production levels on the Norwegian continental shelf at 2020 figures through 2035, which translates to around 1.2 million barrels of oil equivalents per day.