ABU DHABI, November 3, 2026: Abu Dhabi National Oil Company (ADNOC) has signed a multi-year agreement with OpenAI and UAE technology company G42 to develop artificial intelligence systems that will help connect oilfield development planning with production, processing, logistics and trading decisions across its energy business.
The agreement, announced at the Abu Dhabi International Petroleum Exhibition and Conference (ADIPEC) on November 2, will initially focus on two applications: preparing integrated plans for developing oilfields and assessing how operational decisions affect the commercial value of crude oil. The planned systems will use OpenAI’s advanced AI models and operate on computing infrastructure based in the United Arab Emirates.
The partnership aims to address a challenge in managing large energy operations: decisions about underground reservoirs, production facilities, investment and sales often involve different teams and information systems. The proposed technology will bring these processes together so that engineers and commercial teams can evaluate the wider consequences of individual decisions.
According to the official ADNOC announcement, the companies will jointly develop and deploy a specialised AI decision-support system using OpenAI Frontier, an enterprise platform designed to coordinate AI agents across complex business operations.
AI agents are software systems that can analyse information, perform connected tasks and support workflows involving multiple sources of data. Under the partnership, they are intended to help ADNOC assess technical, financial and commercial choices together, while human experts retain oversight of important decisions.
ADNOC said it would become the first energy company to deploy OpenAI Frontier. However, the November 2 agreement marks the establishment of a development and deployment partnership. It does not establish that all the proposed applications are already fully operational or have delivered the performance improvements described by the company.
The first application will focus on integrated oilfield development planning, a process that determines how underground oil and gas resources should be developed, where wells and production facilities are needed and how investment should be organised.
Such planning typically requires separate technical studies of underground reservoirs, drilling requirements, production facilities and project economics. ADNOC intends to combine these activities into a more connected process using AI models capable of analysing large volumes of operational information.
The planned system will use decades of ADNOC data covering thousands of wells, multiple underground reservoirs and hundreds of surface facilities. It will also incorporate investment costs and commercial considerations when comparing development options.
ADNOC says the technology is intended to reduce the time required to prepare complex oilfield development plans from months to hours. This remains a stated objective of the new partnership, rather than an independently verified result from the proposed system.
The intended benefit extends beyond faster planning. By considering an entire oilfield together, the system could help engineers evaluate how decisions about one reservoir, production facility or investment affect development elsewhere in the field.
The second application will focus on the commercial consequences of decisions across ADNOC’s energy business, linking information from crude oil production and processing to refining, transportation, sales and trading.
The value of crude oil depends on several factors, including its quality, processing requirements, transport costs, available refining capacity and market prices. Decisions about production and processing can therefore influence the revenue ultimately obtained from oil sold to customers.
Under the proposed arrangement, interconnected AI agents will analyse expected crude oil supply, demand, prices and profit margins. The objective is to help ADNOC assess how operational decisions and changing market conditions could affect commercial outcomes before those decisions are implemented.
For example, a proposed change in production could be evaluated alongside available processing capacity, transportation arrangements and expected market demand. This would allow decision-makers to consider the potential operational and financial consequences together rather than examining each part of the business separately.
The proposed system is intended to support human decision-making, not independently control oilfields or take responsibility for major commercial decisions. ADNOC said its specialists would retain oversight of consequential decisions, with the applications operating within the company’s existing governance arrangements.
The partnership will combine OpenAI’s advanced reasoning models with ADNOC’s proprietary industrial information and expertise. G42 will provide UAE-based AI computing infrastructure, with the company participating in the agreement through its subsidiary Inception42.
Using infrastructure within the UAE is an important part of the planned deployment because the applications will process sensitive operational and commercial information belonging to ADNOC. The arrangement is intended to support domestic data processing and the company’s requirements for protecting proprietary information.
The partnership also includes plans to use OpenAI’s Daybreak Blue, a cybersecurity access tier designed for authorised defensive work. The initiative is intended to help security teams identify vulnerabilities and protect critical energy infrastructure. These are planned security capabilities under the agreement, rather than independently demonstrated protections from the new deployment.
ADNOC Managing Director and Group Chief Executive Sultan Ahmed Al Jaber described the agreement as a step towards linking the company’s existing technical knowledge with broader business decisions.
“ADNOC is taking a major step towards connecting intelligence across our entire business,” Al Jaber said in the company’s November 2 announcement.
His remarks reflected the partnership’s central objective: moving beyond separate AI applications to systems that can help evaluate interconnected operational, investment and commercial decisions.
The new agreement builds on ADNOC’s existing use of artificial intelligence. Its ENERGYai system, developed with UAE-based energy technology company AIQ, uses AI to support specialist work involving underground reservoirs and other technical operations.
The new partnership aims to connect these specialised capabilities with decisions across the wider energy business, rather than replace all of ADNOC’s existing technology systems.
ADNOC said its broader AI and robotics programme already includes more than 200 AI applications and 70 robotics use cases, either deployed or under development. The company has also rolled out ChatGPT Enterprise to more than 40,000 employees, reporting adoption exceeding 97%.
These figures describe ADNOC’s existing technology programme and workforce adoption, as reported by the company. They should not be interpreted as evidence that the two new applications announced on November 2 have completed development or deployment.
The agreement was witnessed by Sheikh Khaled bin Mohamed bin Zayed Al Nahyan, Crown Prince of Abu Dhabi and Chairman of the Abu Dhabi Executive Council, following his meeting with OpenAI Chief Executive Sam Altman.
The partnership was one of four agreements involving OpenAI and Abu Dhabi-based entities announced that day. According to the Abu Dhabi Media Office, the other arrangements covered AI applications in government operations, investment analysis and broader adoption of advanced AI technologies across the UAE.
For ADNOC, the new agreement represents an effort to expand AI from specialised technical tasks into decisions spanning an integrated energy business. Its intended applications could connect information that is currently examined through separate operational and commercial processes.
The companies have not disclosed the financial value of the agreement or a firm timetable for completing the two initial applications. Their operational performance and any resulting efficiency improvements therefore remain to be demonstrated.
Read also : India’s October GST collections rise 22.9% to ₹2.31 lakh crore; imports account for nearly half the increase
Read also : India moves to expand EV charging and battery swapping infra to rural areas
