Artificial intelligence (AI) contributed to value creation and savings for Equinor and its partners amounting to USD $130 million in 2025, according to a recent release. AI is now utilized on offshore platforms and land facilities to solve industrial tasks in a safe, efficient, and profitable manner.
With a range of AI solutions, savings were through the planning of wells, field development, and interpreting data. The company also uses AI to optimize energy consumption and reduce CO2 emissions.
Since 2020, the company has delivered USD $120 million in savings through predictive maintenance alone, monitoring over 700 rotating machines with 24,000 sensors across all facilities. This approach improved safety, stabilized operations, and reduced unplanned shutdowns—cutting flaring and associated CO₂ emissions.
Additionally, AI-driven well and field development planning generates thousands of alternatives, enabling experts to focus on the most promising options. For instance, in Johan Sverdrup Phase 3, AI identified a previously unconsidered solution, saving the partnership USD $12 million.
“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,” says Hege Skryseth, executive vice president for Technology, Digital, and Innovation in Equinor. “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.”
Courtesy of Equinor.