ADNOC slashes emissions and earns $500 million through deployment of over 30 AI tools
ADNOC’s initiative signifies the beginning of a multi-year program aimed at rapidly deploying a range of AI solutions across its value chain. From field operations to corporate decision-making, this effort has already led to the reduction of up to 1 million tons of carbon dioxide (CO2) emissions between 2022 and 2023. This reduction is equivalent to removing approximately 200,000 gasoline-powered cars from the road.
Dr. Sultan Ahmed Al Jaber, UAE’s Minister of Industry and Advanced Technology and ADNOC’s Managing Director and Group CEO, emphasized the pivotal role of artificial intelligence (AI) in driving economic and social transformation. He highlighted AI’s potential to facilitate a fair, systematic, and inclusive energy transition. Dr. Al Jaber also underscored ADNOC’s comprehensive integration of AI throughout its operations, enabling the company to make more informed decisions and enhance the protection of both its workforce and the environment.
ADNOC has established two centers of AI excellence since 2017: the Panorama Digital Command Center, responsible for offering operational insights throughout ADNOC’s value chain, and the Thamama Subsurface Center of Excellence, which utilizes artificial intelligence to harness Abu Dhabi’s subsurface resources.
In its upstream operations, AI applications are integral to tasks such as mapping subsurface resources, optimizing drilling, and managing reservoirs more intelligently. This enables ADNOC to enhance its production capacity and ensure the sustained delivery of energy with reduced carbon intensity.
ADNOC’s Centralized Predictive Analytics and Diagnostics (CPAD) program leverages AI to remotely monitor critical operational equipment across both upstream and downstream facilities. This initiative has led to a decrease in the frequency of unplanned shutdowns and streamlined routine maintenance activities.
As a result, operational efficiency has been enhanced, facilitating the production of maximum energy with minimal emissions, as confirmed by ADNOC.