Proving the Business Case for the Internet of Things

Adnoc adopts Honeywell AI and machine learning

Steve Rogerson
December 3, 2019



The Abu Dhabi National Oil Company (Adnoc) has selected Honeywell's asset monitoring and predictive analytics to drive improved asset and machinery management across its upstream and downstream operations.
 
Leveraging AI technologies such as machine learning and digital twins, the platform is expected to help generate significant yearly savings through reduced unplanned maintenance, increased reliability, uptime and safety.
 
The ten-year contract marks one of the largest predictive maintenance projects in the oil and gas industry and is part of Adnoc's flagship CPad centralised predictive analytics and diagnostics programme. CPad, which underpins the company's 2030 Strategy and Oil & Gas 4.0 initiatives, aims at transforming operations to increase value from every barrel of oil, while delivering better returns to the United Arab Emirates.
 
"In an era where the oil and gas industry is being disrupted on multiple levels, it is important that we continue to drive innovation and seek new advanced technologies to further optimise performance and deliver sustainable returns," said Ahmed Al Jaber, UAE minister of state and group chief executive officer of Adnoc. "Adnoc's predictive maintenance project is significant in scale and in its application of AI technology, and marks an important technological milestone for the industry. Honeywell was selected as our valued technology partner to provide these state-of-the-art solutions after a highly competitive and rigorous process."
 
Adnoc will deploy Honeywell Forge asset monitor and predictive analytics at its Panorama command centre in its Abu Dhabi headquarters. The command centre 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 technology will enable the central monitoring of up to 2500 critical rotating pieces of equipment across all Adnoc group companies.
 
"We are proud to partner with Adnoc as they lead the transformation towards Oil & Gas 4.0 and embrace the power of IIoT," said Darius Adamczyk, chairman and chief executive officer of Honeywell. "Honeywell Forge delivers the advanced capabilities business leaders need to harness big data to drive more efficient decision-making and exceed business goals. We look forward to Adnoc realising these benefits after deploying this leading-edge technology."
 
With continuous online equipment monitoring, aided by digital twin models and machine learning analytics, operators and maintenance personnel will be able to identify impending machinery issues earlier and shift from reactive and preventative maintenance practices to a predictive maintenance approach. Insights into equipment health will also let Adnoc evaluate equipment overhaul extension programmes, increase the availability of equipment and increase production. Built on a scalable enterprise platform, it will provide Adnoc 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 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 the smart data analytics Thamama subsurface collaboration centre, the use of AI-assisted value chain modelling, rock image pattern recognition technologies, and blockchain-based hydrocarbon accounting.