The Abu Dhabi National Oil Company (ADNOC) has selected Honeywell’s asset monitoring and predictive analytics solution to drive improved asset and machinery management across ADNOC’s upstream and downstream operations
Using AI technologies such as machine learning and digital twins, the platform is expected to help generate significant annual savings through reduced unplanned maintenance, increased reliability, uptime and safety.
The 10-year contract marks one of the largest predictive maintenance projects in the oil and gas industry and is part of the company’s flagship centralised predictive analytics and diagnostics (CPAD) programme. CPAD, which underpins the company’s 2030 Strategy and Oil & Gas 4.0 initiatives, aims at transforming the company’s operations to maximise value from every barrel of oil.
Alan Nelson, chief technology officer at the company, said, “Data on thousands of critical assets will be hosted on a platform where AI techniques will be applied to enable us to better understand the performance of our assets and to predict shortfalls in advance, thereby enabling us to maximise operational efficiencies.”
ADNOC will deploy Honeywell forge asset monitor and predictive analytics solutions at its Panorama Command Centre in its Abu Dhabi headquarters.
Its Panorama Digital Command Centre currently aggregates real-time information across ADNOC’s businesses 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 2,500 critical rotating equipment across all ADNOC Group companies.
“Honeywell forge asset monitor and predictive analytics can deliver significant OPEX cost-savings each year while optimising capex expenditure,” said Que Dallara, president and CEO of Honeywell Connected Enterprise.
