How intelligence and AI impact the value chain to reshape the future of energy

image is Dennis Jol

AIQ is an Abu Dhabi-based energy-for-AI company that has been in operation since October 2020. Our mandate is to deliver tailored industrial AI across the energy value chain, and we are proud to have commercialised 14 solutions to date, all of which are helping energy operators produce maximum energy with minimum emissions. We also pioneered Agentic AI at scale for upstream operations through our ENERGYai framework.

From our perspective, AI is the single most transformative technology of the modern age, and we utilise it to support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. We are injecting the analytical and predictive capabilities of tailored industrial AI tools across the energy value chain.

Collaboration, to us, signifies a shared vision, formed among a coalition of the willing, allowing the achievement of much more than what the separate parties could undertake individually, in a faster timeframe. Take as an example, G42, in the UAE which is developing an ambitious initiative known as the ‘Intelligence Grid,’ which seeks to establish intelligence as a bedrock of ongoing development in much the same way railroads or electricity grids catalysed industrial development in bygone eras.

At the core of this ongoing establishment of the Intelligence Grid is Stargate UAE and the 5GW UAE–U.S. AI Campus, two megaprojects that set a benchmark for sovereign, high-performance AI infrastructure. Developed in collaboration with OpenAI, Oracle, NVIDIA, Cisco, and SoftBank, these initiatives make Abu Dhabi a global command centre for responsible AI, built on local governance, massive compute, and trusted global alignment.

The majority of AI-focused digital transformation initiatives within large corporates fail, with some industry researchers estimating the failure rate at over 90%. Transformation programmes are notoriously difficult to implement successfully for several reasons, including strategic and business misalignment; data and technical infrastructure; human and organisational factors; and implementation and operational issues. 

We believe it is prudent to allow external AI specialists to take action, and in AIQ’s case, our ENERGYai platform – a first-of-its-kind agentic AI system built on large language models – has been successfully trialled, yielding up to 10× faster seismic interpretation and 70% higher accuracy in subsurface modelling. Our RoboWell autonomous well-control solution (developed with Halliburton) achieves up to 30% reduction in gas-lift consumption and 5% higher operating efficiency by autonomously optimising well conditions, thus improving production efficiency and reduciAdvanced Reservoir 360 (AR360), an AI-enabled reservoir management and field development planning tool, co-developed with SLB, includes a module that delivers approximately 75% productivity gains for reservoir teams by automating model review – today.

Last, energy realism is key. As described by our Chairman, HE Dr. Sultan Al Jaber, energy realism recognises that energy is the beating heart of economies, a key driver of prosperity and is fundamental to every aspect of human development.

Energy Connects includes information by a variety of sources, such as contributing experts, external journalists and comments from attendees of our events, which may contain personal opinion of others.  All opinions expressed are solely the views of the author(s) and do not necessarily reflect the opinions of Energy Connects, dmg events, its parent company DMGT or any affiliates of the same.

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