Dangote refinery targets $60m annual gains from artificial intelligence

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Dangote Petroleum Refinery and Petrochemicals is adopting an industrial artificial intelligence platform that could generate more than $60 million in annual gross operational benefits at full capacity, as the company seeks to improve production efficiency, reduce downtime and extract greater value from its refinery.

The platform, Forge Plant Cognition, was launched by Honeywell Technologies on Monday and combines its industrial process expertise with artificial intelligence capabilities from NVIDIA and computing infrastructure from Dell Technologies.

Honeywell said the refinery would be the first industrial facility to deploy the platform, which is designed to identify production bottlenecks, anticipate equipment problems and help engineers make faster operational decisions.

Based on preliminary estimates, the technology could deliver operational benefits exceeding 29 cents per barrel processed, translating into more than $60 million annually when the refinery operates at full-capacity throughput. Honeywell cautioned that the projected benefits are estimates and are not guaranteed.

The potential gains highlight the growing importance of digital technology in industrial operations, where relatively small improvements in production efficiency can generate substantial financial returns when applied across large processing volumes.

The refinery, which currently has a capacity of about 700,000 barrels per day, is planning to expand to 1.4 million barrels per day. Improving throughput, product yields and equipment reliability will be increasingly important as the company grows its operations and competes in domestic and international fuel markets.

Forge Plant Cognition is designed to analyse real-time operating data alongside engineering knowledge, advanced calculations and physics-based models. The system can identify constraints affecting output, flag emerging equipment faults and recommend corrective actions to reduce production losses and unplanned downtime.

For a refinery operating at this scale, fewer interruptions and more efficient processing could improve margins while ensuring that more of its installed capacity is available for production.

Managing Director and Chief Executive Officer of Dangote Petroleum Refinery and Petrochemicals, David Bird, said the platform would help optimise performance, identify additional value within the refinery’s operations and strengthen the capabilities of its Nigerian engineering teams.

Honeywell Technologies UOP President, Rajesh Gattupalli, said the deployment demonstrated how industrial artificial intelligence could improve productivity, reliability and profitability in complex manufacturing environments.

The technology also has implications for local technical development. By embedding specialised engineering knowledge into AI-supported workflows, the refinery expects its Nigerian workforce to gain access to advanced tools for diagnosing operational problems and improving plant performance.

That could help build domestic expertise in industrial automation and digital engineering, areas increasingly important to the competitiveness of large manufacturing and energy facilities.

The estimated $60 million annual benefit, however, should not be treated as realised savings. The financial outcome will depend on actual operating conditions, the refinery’s throughput, the constraints identified and the extent to which recommended changes improve production and reduce losses.

For Nigeria’s refining industry, the wider significance is the potential to combine large-scale domestic processing with advanced technology to reduce operational costs and improve reliability. If the projected gains materialise, the deployment could demonstrate how artificial intelligence can create measurable commercial value in the country’s industrial sector.

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