ADNOC and AIQ have launched ENERGYai, the world’s first-of-its-kind artificial intelligence (AI) solution for the energy sector, enhancing operations and efficiency.
ENERGYai integrates a 70-billion-parameter large language model (LLM). This model incorporates over 50 years of ADNOC’s knowledge and petabytes of proprietary data. It aims to drive optimization and efficiency across the company’s operations.
Successful proof-of-concept trial showcases ENERGYai artificial intelligence capabilities
The 90-day proof-of-concept trial demonstrated ENERGYai’s agentic AI. These AI agents are trained for specific tasks in the energy value chain. They can significantly improve the pace and accuracy of upstream exploration. They do this through rapid, precise seismic survey analysis. Additionally, they provide relevant insights to support production optimization at ADNOC’s existing wells.
Additionally, ENERGYai was able to deliver its insights in intuitive, natural language, enabling engineers to interact with it effectively and easily.
Read more: UAE’s ADNOC deploys cutting-edge AI system Neuron 5 to boost operational efficiency
Promising results
The trial delivered promising real-world results. It also achieved a 70 percent improvement in accuracy for major seismic interpretation and significant advancements in reservoir monitoring and anomaly detection.
Musabbeh Al Kaabi, ADNOC Upstream CEO, stated that the proof of concept for ENERGYai was successfully completed. He noted that it showed extremely promising results. He also confirmed the solution’s potential to be a powerhouse for value creation and sustainable energy production.
“Building on this initial achievement, ENERGYai will leverage petabytes of data to better empower our people and future-proof ADNOC, as we work to become the world’s most AI-enabled energy company,” Al Kaabi further noted.
Enhanced data quality through ENERGYai
The ENERGYai trial showed promising results in enhancing data quality. It further improved the reliability and usability of operational data by detecting errors, standardizing formats, and enriching datasets.
Magzhan Kenesbai, acting managing director of AIQ, said, “This milestone was made possible through close alignment between ADNOC subject matter experts, the expertise of 100+ specialists, and the establishment of robust and secure AI infrastructure. These factors lay the foundation for even greater accomplishments in the forthcoming phases.”
Expansion plans for AI agents in subsurface operations
Following the successful proof of concept, the first operational, scalable version of ENERGYai is expected to be completed in H1 2025.
This version will include five operational AI agents for subsurface tasks. It will also be test-deployed across several upstream assets, with plans to scale to thousands of additional wells.
