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NorwayEnergy and utilities2020 – ongoing

Equinor

AI in industrial operations

Equinor said AI produced USD 130 million in value and savings in 2025

WorkingCompany's own claimOfficial ↗

Problem

Unplanned failures of rotating equipment such as pumps and compressors on oil and gas installations are costly, and interpreting seismic data for exploration takes geoscientists a long time.

Approach

Since 2020 the Norwegian energy company has monitored more than 700 rotating machines through about 24,000 sensors across its facilities, using models that flag deviations before breakdowns. It also uses AI to interpret seismic data, covering 2 million square kilometres in 2025, and used it to find a design option for phase 3 of the Johan Sverdrup field. The company says it has identified more than 100 further use cases.

Results

$130Mvalue created and savings from AI in 2025, including licence partnersCompany's own claim[1][2]
$330M+value realised from AI in industrial processes since 2020Company's own claim[1][2]
$120Mvalue from predictive maintenance on 700+ rotating machines since 2020Company's own claim[1][2]
10xseismic interpretation capacity with AICompany's own claim[1][2]

Takeaway

Predictive maintenance accounted for USD 120 million of more than USD 330 million in AI value reported since 2020. The 2025 figure combined value and savings for Equinor and its licence partners, with no calculation method disclosed.

Categories

Innovation type
Process innovation
Evidence
Company's own claim

Sources

  1. Equinor says AI saved it $130M in 2025
    Journal of Petroleum Technology (SPE)7 Jan 2026News article

Source summaries

[1]Equinor7 Jan 2026

Equinor reports USD 130 million in value and savings from AI in 2025 for itself and its partners, and over USD 330 million since 2020. It credits predictive maintenance on more than 700 machines with 24,000 sensors with USD 120 million since 2020, and cites a tenfold gain in seismic interpretation capacity and a USD 12 million saving on Johan Sverdrup phase 3. It says more than 100 new use cases have been found.

[2]Journal of Petroleum Technology (SPE)7 Jan 2026

The Society of Petroleum Engineers' magazine reports Equinor's figures. It quotes the executive vice president for technology saying the company mainly uses traditional machine learning on operational data, with copilots and chatbots used by staff. The 2025 amount includes both value creation and savings.

Full details are in the original sources.

Added 25 Oct 2026 · Updated 25 Oct 2026
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