Today's Edition
Khaled Al Khawaldeh (Abu Dhabi)
Back in 2020, with the world still reeling from the Covid-19 pandemic, G42, an AI giant still in its infancy, and ADNOC, a petrochemicals behemoth looking to adapt to a rapidly changing world, came together with the implicit objective of leveraging AI to optimise performance and grow the UAE's innovation ecosystem.
The result was AIQ, a forward-thinking AI company that would look to disrupt the energy sector. Now, four years on, with AI firmly in focus at this year's ADIPEC conference, the fruits of their labour are finally on display.
Magzhan Kenesbai, Acting Managing Director at AIQ told Aletihad on the sidelines of ADIPEC 2024: "Energy AI is a first of its kind, agentic AI solution that harnesses over 70 years of proprietary ADNOC data. So, for you to understand what it means, imagine you have a PhD-level specialist available to you, 24/7 to answer any of your most challenging matters."
Designed for rapid scaling, Kenesbai said the AI platform first focuses on critical areas in the upstream sector, including geological modelling, field development planning, reservoir simulations, and safety interpretations.
These agents produce strategic insights, accelerating tasks that typically require extensive human resources and time.
Kenesbai said these agents are able to use these insights to help with strategic decision-making, complete with built-in capabilities to reason, think and apply the most insightful and deep knowledge available.
"Right now, if you were to ask a group of engineers to make you a digital twin of a large reservoir, eventually it would take you about 10 engineers, maybe two years, and the output would be one or two models," he said.
"Now the AI can produce results and deep insights to answer the same question of a digital twin of a reservoir within a time frame of several months, and the goal is to bring it down to several weeks, and then several hours, and, if possible, even minutes."
Kenesbai said he believed Energy AI was more than just an operational tool; but rather a model for how AI can redefine industry standards. Freeing engineers from repetitive tasks allowing them to focus on higher-level, strategic goals.
Looking ahead, Kenesbai hinted at plans to expand Energy AI's reach beyond upstream applications, with the potential to integrate across sectors and industries.
This shift, he believes, signals the beginning of a larger AI transformation in energy and beyond.
"We are on the cusp of something unprecedented," he said.
"This AI is not only transforming energy at scale, but setting a new benchmark for what is possible."
