UAE: Digitalization Partnership Predictive Maintenance from Honeywell to Increase Adnoc's Asset Efficiency

Editor: MA Alexander Stark

The Abu Dhabi National Oil Company (Adnoc) announced a partnership with Honeywell for one of the largest predictive maintenance projects in the oil and gas industry.

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Adnoc will utilize Honeywell’s state-of-the-art asset monitoring and predictive analytics platfom to maximize asset efficiency and integrity.
Adnoc will utilize Honeywell’s state-of-the-art asset monitoring and predictive analytics platfom to maximize asset efficiency and integrity.
(Source: Adnoc)

Abu Dhabi/UAE — Adnoc and Honeywell agreed on a 10-year partnership, in which the oil and gas company will utilize the partner's state-of-the-art asset monitoring and predictive analytics platform. The aim of the cooperation is to maximize asset efficiency and integrity across upstream and downstream operations. Leveraging Artifical Intelligence (AI) technologies like machine learning and digital twins, the platform will help predict equipment stoppages, reduce unplanned equipment maintenance and downtime, increase reliability and safety, and enable substantial cost savings for the client.

Adnoc's predictive maintenance project is part of the company’s flagship Centralized Predictive Analytics and Diagnostics (CPAD) program. CPAD underpins the company’s 2030 smart growth strategy and Oil & Gas 4.0 initiatives. The state company will deploy Honeywell Forge Asset Monitor and Predictive Analytics solutions at its Panorama Digital Command Center in its headquarters. The Panorama Digital Command Center currently aggregates real-time information across all business units and uses smart analytical models, AI and big data to generate operational insights and recommend new pathways. The addition of Honeywell’s solutions will enable the central monitoring of up to 2500 critical rotating equipment across all of the Group's companies.

With continuous online monitoring of equipment, aided by machine learning analytics and digital twin models, operators and maintenance personnel at Adnoc intends to be able to identify impending machinery issues earlier, and shift from reactive and preventative maintenance practices to a predictive maintenance approach.

Sophisticated insights into equipment health will also allow the company to evaluate equipment overhaul extension programs, and increase the availability of equipment and maximize production. Built on a scalable enterprise platform, the solutions are to accelerate time to value by providing engineers with a host of embedded data science and simulation tools.

The predictive maintenance project is one of many digital transformation initiatives by Adnoc to embed cutting-edge technology across its entire value chain and deliver on its Oil & Gas 4.0 mission to stay ahead of the world’s growing demand for energy. Other digital initiatives include its Panorama Digital Command Center; smart data analytics Thamama Subsurface Collaboration Center; and the use of AI-assisted value chain modeling, rock image pattern recognition technologies, and blockchain-based hydrocarbon accounting, to name a few.

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