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Equinor now calls itself a “digital energy company” with its 2022 transition plan explicitly embracing digitalization as a key focus area for producing efficient energy and cutting emissions. In its operations, Equinor is deploying AI across exploration, production, and maintenance. For example, it uses Seeq®’s AI-based analytics platform to optimize well and plant performance, and it has applied the Databricks® data/AI lakehouse to speed up 4D seismic processing.  

Internally, AI-driven predictive maintenance monitors some 18,000 sensors on 30+ assets with 520+ ML models, spotting anomalies and averting failures. AI models also now optimize plant operations for lower CO₂: one team is training a model to balance wind and gas power (at the Hywind Tampen™ offshore wind project) to trim power use and cut “hundreds of thousands of tonnes” of CO₂. Throughout, Equinor is upskilling staff in data science and AI best practices – its digital transformation explicitly includes workforce “upskilling” as a key goal – while embedding AI governance (training, human-in-the-loop reviews, and ethical criteria) to mitigate bias, protect data, and manage risk.