Artificial intelligence contributed USD 130 million in value creation and savings for Equinor and its partners in 2025, the Norwegian energy company said in January 2026, and more than USD 330 million since 2020. AI is used on offshore platforms and land facilities, and over a hundred further use cases have been identified.
The largest contributor is predictive maintenance: Equinor monitors more than 700 rotating machines with 24,000 sensors across all its facilities to predict failures and maintenance needs. The company says this improves safety, makes operations more stable and reduces the risk of sudden shutdowns that can lead to flaring and higher CO2 emissions, and it has created USD 120 million in value since 2020.
AI-driven planning of wells and field development generates thousands of alternatives so that experts can focus on the best proposals. In phase 3 of the Johan Sverdrup field in the North Sea, AI found a solution no one had considered, saving the partnership USD 12 million.
An AI tool for interpreting seismic data has increased interpretation capacity tenfold, allowing more square kilometres to be covered and improving geological understanding of the Norwegian continental shelf; in 2025, 2 million square kilometres were interpreted with it.
"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," said Hege Skryseth, executive vice president for Technology, Digital and Innovation. She said AI is crucial to Equinor's aim of keeping Norwegian continental shelf production at 2020 levels, around 1.2 million barrels of oil equivalent per day, through 2035.
Details
- City
- Stavanger
- Organization
- Equinor
- Continent
- Europe
- Country
- Norway
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