SLB and AIQ Partner to Deploy Agentic AI for Faster, More Accurate Energy Exploration

SLB and AIQ Strengthen AI Partnership for ADNOC’s Subsurface Operations

SLB and AIQ, an Abu Dhabi-based AI firm specializing in the energy sector, are extending their collaboration. The goal is to develop and deploy AIQ’s ENERGYai agentic AI solution across ADNOC’s subsurface workflows.

ENERGYai integrates large language models (LLMs) with agentic AI trained specifically for upstream oil and gas tasks. In testing with 15% of ADNOC’s data from two oil fields, a seismic agent running on this platform delivered a tenfold increase in interpretation speed and improved precision by 70%.

Co-Designing AI Workflows for Subsurface Tasks

The partnership will focus on creating and implementing new agentic AI workflows in geology, seismic exploration, and reservoir modeling. These initiatives will leverage SLB’s Lumi™ data and AI platform, which facilitates better data access, streamlines operational workflows, and scales AI across ADNOC’s activities.

A scalable deployment of ENERGYai, featuring multiple AI agents handling various subsurface operations, is scheduled to begin in the fourth quarter of 2025.

Driving Efficiency and Operational Resilience

Dennis Jol, CEO of AIQ, emphasized the shared vision between the two companies to use AI for energy optimization. He highlighted ENERGYai’s scale and impact, noting the involvement of other key industry technology players in its ongoing development.

Rakesh Jaggi, president of Digital & Integration at SLB, stated that their work with AIQ has already produced innovative solutions. He added that ENERGYai will lay the groundwork for more intelligent energy operations, enhancing long-term value and resilience across ADNOC’s upstream energy chain.

Benefits for Operations Teams

• Automation of complex, high-impact tasks
• Improved decision-making based on precise, rapid data interpretation
• Optimized production through integrated AI workflows

These improvements aim to increase operational efficiency and reliability in upstream oil and gas activities, supporting ADNOC’s commitment to effective resource management.

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