Equinor Scales Industrial AI Across Offshore and Onshore Operations

The Johan Sverdrup field centre in the North Sea, where AI found a solution that no one had considered, saving the partnership USD 12 million
Photo: Arne Reidar Mortensen / ©Equinor

(IN BRIEF) Equinor says artificial intelligence generated USD 130 million in value during 2025 by improving safety, efficiency and decision-making across its offshore and onshore operations. From predictive maintenance and well planning to large-scale seismic interpretation, AI is now a central enabler of Equinor’s strategy to maintain production levels on the Norwegian continental shelf while reducing emissions and supporting long-term value creation.

(PRESS RELEASE) STAVANGER, 8-Jan-2026 — /EuropaWire/ — Equinor has reported that artificial intelligence delivered USD 130 million in value creation and cost savings during 2025, underscoring the growing role of advanced digital technologies in large-scale industrial operations across offshore platforms and onshore facilities.

AI has become deeply embedded in Equinor’s operational model, supporting safer, faster and more efficient execution of complex industrial tasks. The company views the technology as a cornerstone for maintaining long-term production levels on the Norwegian continental shelf while strengthening energy security and sustaining profitability toward 2035.

According to Hege Skryseth, Executive Vice President for Technology, Digital and Innovation, artificial intelligence is already transforming how industrial data is converted into actionable insight. By applying AI to vast operational datasets, Equinor is accelerating decision-making, improving facility performance and enabling new approaches to field development.

One of the most mature applications is predictive maintenance. More than 700 rotating machines across Equinor’s facilities are continuously monitored using 24,000 sensors, allowing AI models to anticipate equipment failures before they occur. This capability improves safety, stabilises production and reduces unplanned shutdowns that can lead to flaring and increased emissions. Since 2020, this application alone has generated USD 120 million in value.

AI is also reshaping subsurface and development planning. By generating thousands of potential well and field configurations, AI systems allow specialists to focus on the most promising solutions. During Johan Sverdrup phase 3, this approach identified an unconventional development option that resulted in savings of USD 12 million for the project partners.

In seismic interpretation, AI has increased processing capacity by a factor of ten. In 2025, approximately two million square kilometres of seismic data were analysed using AI-driven tools, significantly enhancing geological understanding and supporting future exploration and discovery efforts on the Norwegian continental shelf.

Since 2020, Equinor has realised more than USD 330 million in value from AI across industrial processes, with over 100 additional use cases currently identified. Beyond traditional machine-learning applications, employees are also increasingly using AI copilots, chatbots and agent-based tools to streamline workflows and support new ways of working.

As Equinor works to sustain production at around 1.2 million barrels of oil equivalent per day through 2035, AI is expected to play an expanding role in optimising drilling, facility operations, energy efficiency and emissions reduction.

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SOURCE: Equinor ASA