Nigeria’s Dangote Petroleum Refinery and Petrochemicals is preparing to make industrial history by becoming the first facility to deploy a newly launched artificial intelligence platform from Honeywell Technologies, a move that could unlock more than $60 million in annual gross operational benefits when the refinery reaches full capacity.
The development marks a significant milestone in the refinery’s technological evolution, signalling a shift towards AI-powered operations designed to improve efficiency, increase production value and reduce costly disruptions across its complex industrial processes.
The technology, known as Forge Plant Cognition, combines Honeywell’s industrial engineering expertise with artificial intelligence capabilities from NVIDIA and computing infrastructure from Dell Technologies. Its introduction is expected to help refinery operators make faster, better-informed decisions while identifying opportunities to improve performance across the facility.
Beyond the projected financial gains, the deployment highlights Dangote Refinery’s ambition to establish itself as a leader in advanced industrial technology while strengthening the capabilities of Nigerian engineers and technical professionals.
Dangote Refinery to Become the First Industrial User of Honeywell’s AI Platform
Honeywell Technologies has announced that Dangote Refinery will host the global debut of Forge Plant Cognition, positioning the Lekki-based facility at the forefront of AI-driven industrial operations.
The platform is designed to address a major challenge facing large refineries: how to extract more value from existing equipment and infrastructure while maintaining reliable, efficient operations.
Modern refining facilities generate enormous volumes of operational data. Turning that information into practical decisions requires an understanding of process engineering, equipment behaviour and the physical principles governing industrial systems.
Forge Plant Cognition is intended to bridge that gap by bringing together real-time operating information, engineering knowledge, advanced calculations and physics-based models.
Rather than simply displaying data or flagging unusual operating conditions, the system is designed to help engineers identify the underlying causes of performance problems and determine which actions could deliver the greatest operational improvements.
For Dangote Refinery, the technology could provide an additional layer of intelligence across interconnected processes, helping operators identify production constraints, improve equipment utilisation and make more effective use of available capacity.
The initiative also demonstrates how artificial intelligence is increasingly being applied beyond conventional digital services and into capital-intensive industries, where even relatively small efficiency improvements can translate into substantial financial benefits.
How Honeywell’s Forge Plant Cognition Could Generate More Than $60 Million Annually
The projected financial impact is one of the most significant aspects of the planned deployment.
According to Honeywell Technologies, preliminary assessments indicate that Forge Plant Cognition could deliver operational benefits exceeding 29 cents per barrel at Dangote Refinery.
At full refining capacity, the company estimates that these improvements could generate more than $60 million in annual gross operational benefits.
The projected gains are expected to come from better process performance, improved production efficiency, stronger equipment reliability and opportunities to increase the value generated from refining operations.
In a facility operating at the scale of Dangote Refinery, small improvements across multiple processes can accumulate into substantial financial gains. Identifying bottlenecks, reducing unnecessary downtime and optimising production decisions can help operators make better use of existing infrastructure.
However, the financial projection comes with important qualifications.
Honeywell stated that the estimate is specific to Dangote Refinery and is based on preliminary data. Actual results will depend on operating conditions and the performance improvements achieved after implementation.
The projected $60 million should therefore be understood as an estimated gross operational benefit at full capacity, rather than a guaranteed annual profit or a confirmed financial result.
Nevertheless, the scale of the estimate illustrates the potential economic value of applying advanced AI tools to complex refining operations.
Three Ways the AI Platform Could Improve Refinery Performance
Forge Plant Cognition is designed to support three key operational priorities: improving refining margins, protecting production and making specialised engineering expertise more accessible.
1. Improving refining margins and production value
Refineries must continually balance operating conditions, production targets and the value of the products they manufacture.
Even when equipment is functioning normally, process constraints or suboptimal operating decisions can limit performance and reduce the value extracted from available resources.
The Honeywell platform is designed to help identify these opportunities by analysing plant information alongside engineering knowledge and physics-based calculations.
This could help engineers identify constraints affecting production, assess potential adjustments and make informed decisions about how to improve throughput and product yields.
By helping operators understand where performance can be improved, the technology is expected to support more efficient use of refinery assets and increase the value generated by existing operations.
2. Reducing unplanned downtime
Unexpected equipment failures and process disruptions can interrupt production, increase maintenance costs and undermine operational reliability.
One of the platform’s intended benefits is its ability to help refinery personnel recognise potential equipment and process problems before they escalate into more serious disruptions.
By analysing operational information and identifying emerging constraints, the system could support earlier intervention and more informed maintenance decisions.
Reducing unplanned downtime is particularly important for a large refinery, where disruptions in one part of an interconnected system can affect other processes.
Although the platform is not a guarantee against equipment failures, its analytical capabilities are intended to help operators anticipate problems and protect production more effectively.
3. Making specialised engineering expertise more accessible
Complex refineries depend on highly specialised knowledge to diagnose problems, assess process behaviour and maintain safe, efficient operations.
Traditionally, access to such expertise can depend heavily on experienced personnel and specialists with years of technical training.
Forge Plant Cognition is designed to make more of this knowledge available through AI-powered tools that support engineers and operators in their daily work.
By bringing engineering principles and process expertise into a more accessible digital environment, the system could help local teams investigate complicated operational issues and evaluate potential solutions more efficiently.
This capability could become especially valuable as Dangote Refinery continues to develop its workforce and strengthen its internal technical expertise.
What Dangote Refinery’s Management Says About the Investment
David Bird, managing director and chief executive officer of Dangote Petroleum Refinery and Petrochemicals, said the decision to adopt the technology reflects the company’s commitment to operational excellence, innovation and workforce development.
Bird explained that Honeywell’s combination of industrial expertise and AI capabilities could help the refinery improve performance, unlock additional value from its operations and change how its assets are managed.
He also emphasised that the investment forms part of a wider effort to advance technology and develop Nigerian talent to internationally competitive standards.
The comments suggest that the initiative is intended to deliver more than immediate productivity improvements.
By integrating advanced digital tools into refinery operations, Dangote aims to strengthen its ability to manage a sophisticated industrial facility while developing the technical capabilities required to sustain its performance over time.
The emphasis on local talent is particularly important because sophisticated industrial infrastructure requires a skilled workforce capable of operating, maintaining and continuously improving complex systems.
Access to advanced analytical tools could help Nigerian engineers gain experience with modern industrial technologies while supporting the transfer of specialised knowledge into local operations.
NVIDIA and Dell Technologies Bring AI and Computing Capabilities
The deployment also brings together three major technology contributors.
Honeywell Technologies provides the industrial engineering expertise behind Forge Plant Cognition, while NVIDIA contributes artificial intelligence capabilities and Dell Technologies supplies the computing infrastructure.
The combination is intended to connect advanced computing and AI with the practical engineering knowledge required to manage industrial processes.
This is important because refining operations involve complex interactions among equipment, process conditions and production objectives. AI systems must be able to work with relevant plant information and engineering models to generate insights that operators can use.
The collaboration reflects a broader movement towards integrating AI into industrial environments, where digital tools are increasingly being used to support decision-making, improve reliability and increase productivity.
Rajesh Gattupalli, president of Honeywell Technologies UOP, described the Dangote collaboration as an example of how connected technologies and artificial intelligence can help large industrial facilities achieve greater productivity, reliability and profitability.
He noted that industrial plants are among the world’s most complex operating environments and that digital technologies offer significant opportunities to improve performance.
The launch at Dangote Refinery is intended to demonstrate how these capabilities can be applied at substantial industrial scale.
How the Project Supports Dangote’s Nigerian Workforce Ambition
Another important dimension of the initiative is its potential contribution to Dangote Refinery’s workforce development strategy.
The company has an objective of building a workforce comprising more than 70 per cent Nigerians. Making specialised engineering knowledge more accessible to local personnel could support this ambition by strengthening the capabilities of Nigerian engineers and operators.
Advanced industrial technology does not eliminate the need for skilled workers. Instead, its value depends on people who understand how to interpret its outputs, assess recommendations and apply them appropriately within real operating environments.
By giving local teams access to AI-powered engineering tools, the refinery hopes to support more effective problem-solving while building the technical expertise needed to manage complex operations.
This approach could also help reduce reliance on external technical specialists over time, although the extent of that benefit will depend on training, implementation and the development of local expertise.
The long-term opportunity is to combine modern technology with workforce development, ensuring that Nigerians play an increasingly important role in operating and improving one of the country’s most significant industrial facilities.
A New Chapter for AI-Powered Oil Refining in Nigeria
The planned deployment of Forge Plant Cognition represents a significant development for Dangote Refinery and Nigeria’s wider industrial technology landscape.
Its potential benefits extend across operational efficiency, production optimisation, equipment reliability and engineering skills development. Honeywell’s preliminary estimate of more than $60 million in annual gross operational benefits at full capacity also highlights the financial potential of applying AI to large-scale refining operations.
Still, the ultimate impact will depend on actual operating conditions, implementation and the extent to which the platform delivers measurable improvements in refinery performance.
For Dangote Refinery, the project signals an effort to move beyond building and commissioning major industrial infrastructure towards using advanced digital systems to maximise the value of those assets.
For Nigeria, it offers a glimpse of how artificial intelligence could support more sophisticated industrial operations while creating opportunities to develop local technical talent.
If the projected gains are realised, the collaboration could demonstrate how combining industrial engineering, AI and workforce development can strengthen the performance of a major refinery.
The bigger story, however, goes beyond the headline financial figure. It is about how one of Africa’s most ambitious industrial projects is seeking to use artificial intelligence not only to improve production, but also to build the expertise needed to compete at the highest levels of modern manufacturing and energy processing.
