Norwegian major Equinor said that using artificial intelligence (AI) contributed to value creation and savings for the company and its partners amounting to $130 million in 2025. Equinor said it uses AI on offshore platforms and land facilities to solve industrial tasks on a large scale.
Equinor said AI is crucial to achieving its ambition for the Norwegian continental shelf by 2035.
“AI is a central part of our operations,” said Hege Skryseth, Equinor’s executive vice president for technology, digital, and innovation. “Moving forward, AI will become even more important for solving industrial tasks safely, faster, more profitably, and at scale. With AI, we can analyze seismic data 10 times faster, plan wells and field development in new and better ways, and operate our facilities more efficiently. Industrial processes generate vast amounts of data, and we can use AI to produce knowledge from this data. This has already been transformative and profitable, even though we are still early in the AI revolution.”
Equinor currently uses AI for a range of applications and says it has identified more than 100 new use cases.
AI is being used by the company to monitor more than 700 rotating machines with 24,000 sensors across all of its facilities. The AI is used to predict failures and maintenance needs. Citing improved safety, more stable operations, and reduced risk of sudden shutdowns that can lead to flaring and increased CO2 emissions, Equinor estimates this has saved it $120 million since 2020.
The company also said that it uses AI in the planning of wells and field development to generate thousands of alternatives, allowing it to focus on the best proposals. The company reported that AI was instrumental in finding an option for Phase 3 of Johan Sverdrup that saved the partnership $12 million.
Equinor is also using AI to interpret seismic data. The company said the tool has provided a tenfold increase in interpretation capacity. The company reported that, in 2025, data from 2 million km2 of the Norwegian continental shelf were interpreted using AI.
“Since 2020, we have realized values of over $330 million with artificial intelligence in industrial processes, of which $130 million came in 2025,” Skryseth said. “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.”
Equinor said it aims to maintain production on the Norwegian continental shelf at 2020 levels through 2035, which means production of approximately 1.2 million BOE/D.
“We use AI to interpret more seismic data, plan and drill more wells, and operate our facilities safely and profitably, while also using the technology to optimize energy consumption and reduce CO2 emissions,” Skryseth said.