Adnoc completes phase one of artificial intelligence project

11 November 2020
The predictive maintenance project, which was announced in November 2019, is one of the largest in the oil and gas industry

Adipec 2020
Indrajit Sen
Oil & gas editor

Abu Dhabi National Oil Company (Adnoc) announced on 10 November that it has completed the first phase of its large-scale multi-year predictive maintenance project to maximise asset efficiency and integrity across its upstream and downstream operations.

Using artificial intelligence (AI) technologies such as machine learning and digital twins, Adnoc’s predictive maintenance platform helps to predict equipment stoppages, reduce unplanned equipment maintenance and downtime, and increase reliability and safety. Maintenance savings of up to 20 per cent are expected to be delivered.

The predictive maintenance project, which was announced in November 2019, is being implemented over four phases and is one of the largest in the oil and gas industry.

Adnoc’s predictive maintenance project is part of the company’s “digital acceleration programme, which focuses on embedding advanced digital technologies across the company’s operations”, Adnoc said in a statement.

The first phase of the project covers the modelling and monitoring of 160 major turbines, motors, centrifugal pumps and compressors across six Adnoc Group companies.

All four phases of the project are expected to be completed by 2022 and the project will enable the central monitoring of up to 2,500 critical machines across all Adnoc Group companies.

The predictive maintenance platform is an integral part of Adnoc’s Panorama Digital Command Centre at its headquarters and is implemented in partnership with Honeywell, using the Honeywell Asset Performance Management and predictive analytics enterprise solutions.

“The predictive maintenance project is just one of many digital transformation initiatives by Adnoc to embed cutting-edge technology across its entire value chain,” the company said in the statement.

Other digital initiatives include the smart subsurface data analytics Thamama Subsurface Collaboration Centre, and Adnoc’s use of computer vision technologies, Big Data modelling tools for value chain optimisation, and blockchain for hydrocarbon accounting.

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