{"id":12672,"date":"2026-11-08T20:16:16","date_gmt":"2026-11-08T20:16:16","guid":{"rendered":"https:\/\/globalnigerianews.com\/index.php\/2026\/11\/08\/nigerias-refineries-need-robots-that-can-touch-not-just-look-businessday-ng\/"},"modified":"2026-11-08T20:16:16","modified_gmt":"2026-11-08T20:16:16","slug":"nigerias-refineries-need-robots-that-can-touch-not-just-look-businessday-ng","status":"publish","type":"post","link":"https:\/\/globalnigerianews.com\/index.php\/2026\/11\/08\/nigerias-refineries-need-robots-that-can-touch-not-just-look-businessday-ng\/","title":{"rendered":"Nigeria’s refineries need robots that can touch, not just look – Businessday NG"},"content":{"rendered":"

\u2026The next edge in refining won\u2019t come from more capacity, but from how well we maintain it<\/em>\n<\/p>\n

In June, the Dangote refinery processed 700,000 barrels a day in a licensor performance test, above its 650,000-barrel nameplate. Its owners now talk of 1.4 million barrels a day by 2028,
and modular refineries keep coming on stream across the Niger Delta. For the first time in a generation, Nigeria refines at scale.\n<\/p>\n

The state-owned plants tell a different story. Port Harcourt and Warri restarted briefly in late 2024 and were shut again within months. Nigerian National Petroleum Company Limited (NNPC Ltd) has since admitted that running Port Harcourt before its rehabilitation was complete was \u201cill-informed and sub-commercial.\u201d In April, it signed a memorandum of understanding with two Chinese firms for a technical equity partnership covering not just completion of the plants, but their operation and maintenance.\n<\/p>\n

That last phrase deserves more attention than it gets. Nigeria\u2019s refining problem has rarely been about building plants. It has been about keeping them running, safely and profitably, year after
year. And the way refineries are maintained is about to change.\n<\/p>\n

The hard part is physical<\/strong><\/p>\n

A refinery is an unforgiving place. Valves stick. Flanges seize. Insulation degrades unevenly. Debris collects where no drawing says it should. Much of the maintenance work demands careful, hands-on effort under heat, vibration and the constant risk of exposure to hydrocarbons and hydrogen sulphide.\n<\/p>\n

Automation has made real progress on the easy half of this problem: seeing. Inspection robots and drones already carry thermal cameras, gas detectors and visual anomaly detection through
process units around the world. But a robot that spots a leaking valve still has to call a human to fix it. The hard half (turning a seized valve without stripping it, inserting a probe into a partly\u00a0 blocked port, cleaning or coating an irregular surface) still depends on people entering hazardous areas.\n<\/p>\n

This is the problem my field, robot learning for contact-rich manipulation, exists to solve.\n<\/p>\n

Robots that learn by touch<\/strong>\n<\/p>\n

Instead of following pre-programmed paths that fail the moment reality differs from the drawing, learning-based robots acquire skills. They combine learning from human demonstrations, reinforcement learning in simulation, and real-time force and tactile sensing
that governs how hard they push, grip and twist. A robot taught by an experienced technician can learn how a stubborn valve should feel as it gives, and stop before it causes damage.<\/p>\n

These systems also keep learning on the job. A model trained elsewhere can adapt to the wear, corrosion and layout quirks of a decades-old unit in Port Harcourt instead of assuming a\u00a0textbook plant. Mounted on legged or wheeled platforms with force-sensitive arms, they close the loop on predictive maintenance: detect a developing fault, then carry out the diagnostic or\u00a0corrective task while a human supervises from a safe distance.\n<\/p>\n

The business case is simple. Fewer human entries into hazardous zones lowers the risk profile of\u00a0maintenance. Faster, more consistent interventions shorten turnarounds, and every day a refinery is offline is lost margin. Each intervention also generates data that makes the next one\u00a0better.\n<\/p>\n

This technology is not plug-and-play. Equipment must be certified for explosive atmospheres, field robots fail in tropical heat and dust in ways laboratory robots do not, and contact-rich manipulation is still maturing. That is exactly why Nigeria should start now with focused pilots, instead of waiting to import a finished product designed for someone else\u2019s plants.\n<\/p>\n

Jobs: elevated, not eliminated<\/strong>\n<\/p>\n

Fears about job losses are understandable but incomplete. These robots take over dangerous, repetitive physical tasks; they do not replace judgement. Technicians become supervisors of robot fleets, the source of the demonstrations robots learn from, and the people who handle the exceptions no algorithm anticipates. That shift creates demand for Nigerian engineers trained in robot learning, force control and field robotics, skills our universities can build with the right industry partners.<\/p>\n

What Nigeria should do<\/strong>\n<\/p>\n

Write it into the contracts. As NNPC negotiates operation and maintenance terms with its partners, and as private operators plan expansions, specifications should require a roadmap for robotic inspection and contact-capable intervention, with targets tied to safety and uptime.\n<\/p>\n

Use local content policy to build capability, not just headcount. The Nigerian Content Development and Monitoring Board can reward the co-development of algorithms and\u00a0hardware suited to tropical heat, dust and the particular layouts of Nigerian process units, so the intellectual property stays at home.\n<\/p>\n

Fund pilots that pair operators with researchers. One process unit, a defined set of tasks and a 12- to 18-month window is enough to prove or disprove the value, and to train the first cohort\u00a0of local specialists along the way. Research groups working on these problems, including Nigerians abroad, are ready to collaborate.\n<\/p>\n

Nigeria has shown it can build world-scale refining capacity. The next competitive edge will\u00a0 come from operating it with greater intelligence and physical capability. Robots that can touch, not just look, are no longer a laboratory curiosity. Adopted deliberately, they can help turn installed capacity into sustained, safe and profitable production, and put Nigerian engineers at\u00a0 the front of the next wave of industrial robotics.<\/p>\n

Temitope Amosa is a doctoral researcher in robot learning and dexterous manipulation at the\u00a0Edwardson School of Industrial Engineering, Purdue University, where he works in the Mechanism and Robotics Systems (MARS) Laboratory. He can be reached at [email\u00a0protected]<\/a>.<\/em><\/p>\n

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Businessday NG<\/div>\n","protected":false},"excerpt":{"rendered":"

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