AIQ And SLB To Advance Development And Deployment Of Agentic AI Solution Across ADNOC's Subsurface Operations
- SLB to integrate proprietary solutions with AIQ’s ENERGYai agentic AI workflows
- AIQ to deploy transformational AI solution in ADNOC’s upstream operations this year following award of $340M contract
- SLB joins Microsoft and G42 as implementation partners
Global energy technology company SLB and AIQ, the Abu Dhabi-based AI champion for the energy sector, will closely collaborate to advance AIQ’s continued development and deployment of its ENERGYai agentic AI solution across ADNOC’s subsurface operations.
Built on 70 years of proprietary data and knowledge, ENERGYai combines large language model (LLM) technology with cutting-edge agentic AI, which is trained for specific workflows across ADNOC’s upstream value chain. Early indications of the solution's capabilities in a test environment using 15% of ADNOC’s data, and looking specifically at two fields, resulted in a seismic agent achieving a 10x increase in the speed of seismic interpretation, and a 70% increase in precision.
AIQ and SLB will jointly design and deploy new agentic AI workflows across ADNOC’s subsurface operations, including for geology, seismic explorations, and reservoir modeling, supported by SLB’s Lumi data and AI platform, and other digital technologies. Designed to help customers boost productivity and efficiency, the Lumi platform enhances data access, streamlines workflows, and scales AI solutions seamlessly.
A scalable version of ENERGYai is under development, which will include AI agents covering tasks within subsurface operations. Deployment will commence in Q4 2025.
“This partnership reflects our vision to harness AI for energy optimization, and we are enthusiastic that SLB shares this outlook. The collaboration between AIQ and SLB enables the development of sophisticated AI workflows that integrate seamlessly with ADNOC’s infrastructure, driving efficiency, scalability, and innovation at every stage of the energy lifecycle,” said Dennis Jol, CEO of AIQ. “Our ENERGYai agentic AI solution is pioneering in its sheer scale and impact, and we are proud to involve other significant industry technology players in its development and evolution.”
“Our collaborations with AIQ have already delivered innovative solutions, and now we are supporting the building of the foundation for the next era of intelligent energy operations together with AIQ’s ENERGYai. This agentic AI solution is set to drive long-term value and operational resilience across ADNOC’s energy value chain,” said Rakesh Jaggi, president, Digital & Integration, SLB.
ENERGYai will power agentic AI to automate complex, high-impact tasks, increasing efficiency, enhancing decision-making and optimizing production across ADNOC’s operations. The collaboration between AIQ and SLB reflects a shared commitment to innovation, operational excellence, and data-centric energy supply, delivering business impact at scale for ADNOC and accelerating the impact of AI-driven energy transformation.
About SLB
SLB is a global technology company that drives energy innovation for a balanced planet. With a global footprint in more than 100 countries and employees representing almost twice as many nationalities, we work each day on innovating oil and gas, delivering digital at scale, decarbonizing industries, and developing and scaling new energy systems that accelerate the energy transition. For more information, visit slb.com.
About AIQ
AIQ is an innovative global technology pioneer based in Abu Dhabi, dedicated to accelerating AI-driven advancements within the Energy sector, propelling it towards a sustainable future. AIQ solutions improve performance and efficiency; protect personnel, assets, and operations; and enable customers to meet their sustainability goals. As a committed contributor to realizing the UAE's ambition to lead the world in AI by 2031, AIQ is playing a pivotal role in the AI ecosystem of Abu Dhabi, the UAE, and the global Energy sector. For more information, visit aiqintelligence.ae
Source: SLB