ADNOC and SLB Put AI Across 120 Rigs — and Publish an Actual Efficiency Number

ADNOC, working with SLB, has deployed an AI-enabled Real-Time Operations Center across a fleet of more than 120 rigs, and reports that it cuts engineering effort by 30–40% while letting engineers support two to three times more rigs at the same standard of oversight. What it does: the RTOC platform consolidates monitoring, analysis and management of drilling operations across ADNOC's onshore and offshore assets, replacing multiple separate tools with automated dashboards and AI-driven performance insight. The stated result is not "better decisions" in the abstract but a specific labour-leverage claim: the same engineering population covering two to three times the asset base. SLB has been broadening this footprint, having launched an AI marketplace for energy-sector software, data connectors, models and automated workflows in June. We are including this despite it being drilling rather than commercial shipping, and it is worth saying why. This digest covers commercial shipping deliberately. But 30–40% is the only hard, published, fleet-wide efficiency figure anyone released this week, and the structure of the problem it solves is one every technical department will recognise: too many assets, too few experienced people, too many disconnected monitoring systems, and a superintendent covering more vessels each year than the last. Offshore drilling got to that constraint earlier and with more capital. Why this matters for ship managers: the relevant lesson is where the gain came from. It did not come from a smarter model. It came from consolidating multiple tools into one operations picture — killing the swivel-chair work of reconciling four dashboards before forming a view. Most ship management technical departments are running exactly that pattern today: a performance platform, a PMS, a condition-monitoring feed, a noon-report system and an inbox, with a human doing the integration. That human is your bottleneck, and it is a cheaper problem to solve than it looks. What to do now: count the number of separate systems your superintendent opens to answer one question — is this vessel healthy. If the answer is more than three, your first AI investment is probably consolidation, not intelligence. The honest caveat: this is offshore drilling, not shipping, and rig operations are more instrumented, more standardised and far better capitalised than the average managed fleet. The 30–40% figure is company-reported by ADNOC and SLB, both of whom benefit from it, with no independent verification, no baseline definition of "engineering effort" and no disclosure of what the platform cost. Treat it as a direction and a structural lesson, not as a number you can put in your own business case. [MarineLink]

This story is part of the Maritime AI Digest of 9 August 2026.