EFCC Arrests Ex-NNPC Officials Over Alleged $7.2bn Refineries Repair Fraud
The Economic and Financial Crimes Commission (EFCC) has arrested several former officials of the Nigerian National Petroleum Corporation (NNPC) in connection with an alleged $7.2 billion fraud linked to refinery rehabilitation contracts.
According to sources close to the investigation, the arrests were made after months of surveillance and analysis of financial transactions involving payments for the supposed repair and maintenance of Nigeria’s refineries—many of which have remained non-functional despite heavy investments over the years.
The EFCC alleges that the funds earmarked for refinery turnaround maintenance were either misappropriated or diverted through questionable contracts awarded to phantom companies. The suspects are accused of conspiring to siphon billions of dollars under the guise of fixing the nation’s aging refineries, further deepening the crisis in the petroleum sector.
The arrest of the former NNPC officials is part of a wider crackdown on economic sabotage and financial mismanagement within key government institutions. Industry watchers say the development highlights the need for stronger transparency measures in public sector spending, particularly in critical sectors like oil and gas.
Nigeria’s refineries have been a subject of controversy for decades, with billions spent on maintenance yielding little to no results. The latest revelations have sparked renewed outrage among citizens, many of whom continue to endure fuel scarcity and soaring pump prices despite the country’s oil wealth.
The EFCC has confirmed that investigations are ongoing and that those found culpable will be prosecuted in accordance with the law. The Commission also reiterated its commitment to recovering looted funds and ensuring accountability in public service.
This case adds to the growing list of corruption scandals linked to the petroleum sector, raising questions about the effectiveness of previous reform efforts and the need for a more robust framework to prevent similar occurrences in the future.
