Bahrain Puts AI to Work on Live Oil Network

Bapco, SLB, and Geminus deploy real-time physics-informed AI across Bahrain's upstream wells and pipelines

24 Apr 2026

Bahrain has become the Gulf's latest testing ground for AI in live oil production, with Bapco Energies joining forces with SLB and AI startup Geminus to deploy a physics-informed machine learning platform across its upstream well and pipeline network. The system pairs Geminus's AI technology with SLB's Pipesim multiphase flow simulator, running network-wide optimizations in real time that previously took engineers hours to complete. A pilot program delivered measurable production gains within 12 months, and under the terms of the deal, Bapco retains full ownership of its raw operational data and any AI models trained on it. This data sovereignty clause has historically been a sticking point in similar arrangements across the industry.

The partnership reflects a shift playing out across Middle East national oil companies, where operators are moving from controlled AI pilots to full-scale deployments targeting existing infrastructure rather than new builds. SLB's digital teams note that embedding real-time AI optimization directly into a national oil company's flow network creates a more integrated and recurring role for technology providers in day-to-day production decisions. Bapco, as the smallest crude producer in the Gulf, signals that physics-native AI at the network level is accessible beyond the region's largest operators, pointing toward similar deployments at other Gulf national oil companies. Saudi Aramco has separately projected three to five billion dollars in value from AI and advanced technology, driven by lower drilling costs and reduced wells per barrel.

The Bahrain deployment moves Gulf AI from strategy into live field operations, with verified production data making the case for broader regional scale. The industry is now watching which national oil companies follow Bapco's lead and how quickly the rest of the region will catch up.