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SLB and AIQ to Implement Agentic AI in ADNOC's Subsurface Operations

WHAT'S THE STORY?

What's Happening?

SLB and AIQ, an Abu Dhabi-based artificial intelligence firm, are expanding their collaboration to deploy AIQ's ENERGYai agentic AI solution across ADNOC's subsurface operations. This initiative aims to enhance the efficiency and precision of geological, seismic exploration, and reservoir modeling tasks. In a preliminary test using 15% of ADNOC's data from two oil fields, the AI solution demonstrated a tenfold increase in interpretation speed and a 70% improvement in precision. The deployment of a scalable version of ENERGYai, which includes multiple AI agents for various subsurface tasks, is scheduled to begin in the fourth quarter of 2025. The collaboration will leverage SLB's Lumi data and AI platform to enhance data access and streamline workflows.
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Why It's Important?

The deployment of AIQ's ENERGYai solution represents a significant advancement in the use of artificial intelligence within the energy sector. By automating complex tasks and improving decision-making processes, the initiative is expected to optimize production and operational efficiency across ADNOC's upstream operations. This collaboration highlights the growing importance of AI in driving innovation and scalability in energy production, potentially setting a precedent for other companies in the industry. The partnership between SLB and AIQ could lead to long-term value creation and operational resilience, benefiting stakeholders across the energy value chain.

What's Next?

The next steps involve the co-design and implementation of new AI workflows by SLB and AIQ, focusing on geology, seismic exploration, and reservoir modeling. As the deployment of the scalable version of ENERGYai is anticipated in late 2025, stakeholders will likely monitor the outcomes closely to assess the impact on operational efficiency and production optimization. The success of this initiative could encourage further adoption of AI technologies in the energy sector, prompting other companies to explore similar collaborations.

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