ADNOC and SLB have launched an AI–powered Production System Optimization (AiPSO) platform that connects real-time field data with advanced analytics, transforming how upstream operations are managed. The announcement, made during ADIPEC 2025 in Abu Dhabi, marks a major milestone in ADNOC’s strategy to become the world’s most AI-enabled energy company.
Developed in partnership with SLB and Cognite, the AiPSO platform integrates SLB’s Lumi™ data and AI platform with Cognite Data Fusion to monitor and optimize the performance of thousands of wells and hundreds of processing facilities. It draws on millions of real-time data points—from well pressure to equipment temperature—to deliver actionable insights in minutes instead of days.
This capability bridges the long-standing disconnect between field operations and office analytics, enabling engineers to diagnose and optimize well performance remotely. The early deployment spans eight ADNOC upstream fields, with a full rollout planned across all 25 onshore and offshore sites by 2027.
“AiPSO will transform the productivity of our upstream operations as we work to become the most AI-enabled energy company,” said Musabbeh Al Kaabi, CEO of ADNOC Upstream. “This industry-leading solution will increase production capacity while enhancing workforce productivity, freeing our people to pursue value-adding opportunities and completing complex tasks up to ten times faster.”
For SLB, formerly Schlumberger, the launch highlights its ongoing pivot from service provider to digital solutions partner. “The AiPSO platform combines artificial intelligence with domain expertise to drive improvements in production and recovery,” said Olivier Le Peuch, CEO of SLB. “We are proud to continue our collaboration with ADNOC to jointly deliver advanced digital and AI solutions that drive long-term value and operational resilience.”
Cognite’s industrial data platform acts as the connective tissue, enabling seamless integration of disparate datasets across production systems. This architecture provides ADNOC with a unified view of upstream assets, setting the stage for predictive maintenance, energy efficiency, and resource optimization.
The AiPSO deployment reflects a broader transformation across the energy industry: leveraging AI to improve operational efficiency and sustainability. ADNOC’s initiative complements its ENERGYai platform, developed with AIQ, which applies agentic AI to enhance safety, emissions tracking, and energy efficiency across the company’s operations.
By embedding AI into production and monitoring systems, ADNOC aims to extract more value per barrel while reducing downtime and emissions intensity—a critical balance as national oil companies navigate global decarbonization targets.
The company’s integrated AI strategy also positions it to compete in a future where digital optimization, not just resource scale, defines energy leadership.
ADNOC’s investment underscores the growing convergence between AI infrastructure and traditional energy systems. With full field integration planned by 2027, AiPSO could set new standards for digitalized oilfield management—an area increasingly critical for cost control and emissions reduction.
Analysts expect other national oil companies to follow suit, accelerating the use of AI-driven predictive analytics across global upstream operations. Beyond production gains, these platforms could contribute to lower methane leakage, improved asset longevity, and a measurable reduction in operational carbon intensity.
While AiPSO represents a leap forward in operational efficiency, ADNOC’s broader sustainability record remains under global scrutiny. The company has pledged net-zero emissions by 2045 and methane elimination by 2030, yet environmental groups note that its ongoing oil and gas expansion could offset those gains. Critics, including Amnesty International and Global Witness, have questioned ADNOC’s dual role as a climate advocate and one of the world’s fastest-expanding fossil fuel producers.
As ADNOC scales AI across its upstream operations, the company faces growing pressure to ensure that digital transformation contributes not only to efficiency and productivity, but also to transparent, verifiable reductions in emissions and improved social accountability.
