Equinor said artificial intelligence generated $130 million (£102m) in value and cost savings for the company and its partners in 2025, as the technology was deployed across offshore platforms and onshore facilities.
The Norwegian oil and gas giant said AI is now used at scale to support industrial operations.
Equinor said it is deploying the technology in areas including predictive maintenance, well planning and seismic interpretation.
Equinor executive vice president for technology, digital and innovation Hege Skryseth, said artificial intelligence had become a central part of day to day operations and would play an increasing role in the years ahead.
“With AI, we can analyse seismic data ten times faster, plan wells and field development in new and better ways and operate our facilities more efficiently,” Skryseth said.
“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 said it currently has a wide range of AI solutions in use, with more than 100 additional use cases identified across the business.
One of the largest contributors has been predictive maintenance, where more than 700 rotating machines are monitored using around 24,000 sensors across all facilities.
The system predicts failures and maintenance needs, improving operational stability and reducing the risk of unplanned shutdowns, flaring and associated CO2 emissions.
UK offshore energy operators have increasingly adopted similar data-driven and autonomous monitoring systems across the UK continental shelf.
Experts predict the technology will increasingly play a “crucial role” in future energy systems, emerging as a new frontier in the energy transition.
The company said predictive maintenance alone has created value of $120m (£94m) since 2020.
AI driven planning of wells and field developments has also delivered savings.
Equinor said the technology generates thousands of alternatives, allowing specialists to focus on the most promising options.
During the Johan Sverdrup phase 3 development in the Norwegian North Sea, Equinor said AI technology identified a solution that had not previously been considered, saving the project partnership $12m (£9m).
Artificial intelligence is also being used to accelerate seismic interpretation.
Equinor said its AI tools deliver a tenfold increase in interpretation capacity, enabling larger areas to be analysed and improving geological understanding.
In 2025, around 700,000 square kilometres of seismic data were interpreted using AI tools, according to the company.
Skryseth said Equinor has realised more than $330m (£260m) in value from artificial intelligence in industrial processes since 2020.









