- AI saved Equinor and partners USD 130 million in 2025.
- Predictive maintenance of 700 machines saved USD 120 million since 2020.
- AI-driven well planning saved USD 12 million in Johan Sverdrup phase 3.
- 700,000 square kilometers of seismic data interpreted with AI in 2025.
AI-Driven Savings
Artificial intelligence (AI) has significantly contributed to Equinor's operations, saving USD 130 million in 2025. AI is employed on offshore platforms and land facilities to enhance safety, efficiency, and profitability.
Predictive Maintenance
Equinor monitors over 700 rotating machines using 24,000 sensors, enabling predictive maintenance. This approach has generated USD 120 million in value since 2020 by improving safety, stabilizing operations, and reducing CO2 emissions.
Well Planning and Seismic Data
AI-driven planning of wells and field development has saved USD 12 million in the Johan Sverdrup phase 3 by generating thousands of alternatives and identifying optimal solutions. Additionally, AI tools have increased seismic data interpretation capacity tenfold, covering 700,000 square kilometers in 2025, enhancing geological understanding and aiding new discoveries.
Future Outlook
Equinor aims to maintain production on the Norwegian continental shelf at 2020 levels through 2035, using AI to optimize energy consumption and reduce emissions. The company continues to explore over a hundred new AI use cases to further improve operations.
