The Iran War Is Showing What ADNOC’s AI Can Really Do

Oil companies have spent years using AI to drill faster, predict equipment failures and squeeze more production from existing fields. The UAE’s state-run oil giant, ADNOC, is now finding out what the same technology can do when the problem isn’t efficiency, but a war that initially cut UAE oil exports by roughly two-thirds, from about 5.1 million barrels per day before the conflict to just 1.9 million bpd in March.

Almost seven months later, ADNOC is operating through a very different export system that heavily relies on AI. 

By mid-September, UAE crude exports had recovered to 3.236 million bpd, up from 2.886 million bpd in August and 2.871 million bpd in July, according to Kpler data cited by Reuters. ADNOC has pushed crude through the Habshan Fujairah pipeline, expanded its tanker operations and used ship-to-ship transfers in the Gulf of Oman to keep crude moving outside Hormuz. Reuters reported last month that ADNOC had also become a major buyer of discounted Iraqi crude, processing much of it at Ruwais while freeing more UAE crude for export.

At the same time, AIQ’s technology is feeding ADNOC real-time information across drilling, production and facilities that CEO Dennis Jol says went from convenient to crucial almost overnight. 

ADNOC went into the war with AI already embedded quite heavily. Systems developed by AIQ can automatically adjust producing wells, predict failures in critical equipment and analyze reservoir conditions, while newer technology is designed to connect decisions across the operation. Speaking to Semafor, AIQ CEO Dennis Jol has described a system capable of determining which wells to shut or keep producing when pipelines become unavailable and rerouting flows around the disruption.

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By June this year, AIQ had developed roughly 200 AI use cases at ADNOC. Its technology includes predictive maintenance, safety applications, subsurface modeling and systems capable of automatically shutting down equipment to prevent accidents. Jol said some projects that previously took weeks can now be completed in hours.

The AIQ’s RoboWell system, for example, continuously optimizes producing wells using real-time data and AI models, and has now been deployed across more than 500 wells, increasing production by 5%, while reducing well interventions by as much as 50%. For ADNOC, that means individual wells can be continuously adjusted as production requirements change rather than waiting for each intervention from an engineer. The same technology can identify operating conditions that increase the risk of trips or unplanned shutdowns, giving operators another way to manage production when the rest of the oil network is changing quickly.

Source: https://finance.yahoo.com/energy/articles/iran-war-showing-adnoc-ai-230000928.html