Nigeria Signs Deal With Chinese Firms to Rehabilitate Port Harcourt and Warri Refineries
Nigeria's state oil company NNPC has signed a memorandum of understanding with two Chinese firms for the completion, operation and maintenance of the Port Harcourt and Warri refineries. The agreement follows more than $25 billion spent on previous rehabilitation attempts that failed to restore the facilities to full operation.
rigzone.comNigeria's national oil company, the Nigerian National Petroleum Company Limited (NNPC), has signed a memorandum of understanding with Chinese firms to rehabilitate two of its aging refineries. The NNPC reached the agreement with Sanjiang Chemical Company Limited and Xinganchen (Fuzhou) Industrial Park Operation and Management Co.
Ltd. The deal covers the completion, operation and maintenance of the 210,000 barrel-per-day Port Harcourt refinery and the 125,000 barrel-per-day Warri refinery under a technical equity partnership model. The move comes after Nigeria spent more than 11 trillion naira, about $25 billion, on earlier attempts to revamp its aging refineries.
Those previous efforts did not succeed in bringing the facilities back to sustained operation.
Nigeria has turned increasingly to the 650,000 barrel-per-day Dangote Refinery. The privately owned facility has enabled the country to become a net fuel exporter even as crude supply shortages persist at some state facilities. The new agreement with the Chinese partners is intended to address the long-standing operational problems at the Port Harcourt and Warri sites.
Details of the technical equity partnership, including investment amounts and timelines, were not disclosed in the announcement.
Oil prices have risen amid the conflict involving Iran.
Bonny Light crude, Nigeria's benchmark grade, has traded above $110 per barrel. The higher prices are increasing government revenues from oil exports. The Punch newspaper estimated the total cost of past refinery rehabilitation projects at more than $25 billion.
NNPC has not released an official accounting of those expenditures or detailed reasons for their limited success. The agreement marks another attempt to restore domestic refining capacity that has been offline or operating at low rates for years. Nigeria continues to export most of its crude production while importing refined products to meet domestic demand.
Key Facts
Story Timeline
3 events- May 11, 2026
NNPC signed MoU with two Chinese firms for Port Harcourt and Warri refinery rehabilitation.
1 sourceOilPrice.com - Prior years
Nigeria spent over $25 billion on previous refinery overhauls that failed to restore operations.
1 sourceOilPrice.com - 2026
Dangote Refinery's operations turned Nigeria into a net fuel exporter despite crude shortages.
1 sourceOilPrice.com
Potential Impact
- 01
Higher oil export revenues from Bonny Light above $110 will increase NNPC and government income in 2026.
- 02
Continued operation of the Dangote Refinery is likely to sustain Nigeria's status as a net fuel exporter.
- 03
The technical equity partnership may restore partial refining capacity at Port Harcourt and Warri over the coming years.
- 04
Nigeria could reduce reliance on imported refined fuels if the Chinese-led rehabilitation succeeds.
Transparency Panel
Related Stories
ibtimes.comSEC Chair Paul Atkins Says Congress Will Pass Crypto Legislation
SEC Chair Paul Atkins stated he is confident Congress will pass crypto market structure legislation. He added that President Trump will sign the bill into law.
asiaone.comIran Says Strait of Hormuz Management Belongs to Iran and Oman
Iran's Foreign Ministry spokesperson stated that control of the Strait of Hormuz must be decided solely by Iran and Oman. The spokesperson also said no agreement has been reached with the United States and that current focus remains on ending the war.
cnbc.comFed Official Highlights Regulatory Barriers to AI Productivity Gains
A Federal Reserve official stated that productivity growth remains key to economic expansion and that regulatory hurdles are the main obstacle to sustained gains from artificial intelligence.