TotalEnergies, AMNI take FID on Nigeria’s Ima gas field
TotalEnergies and Nigerian partner AMNI have announced the final investment decision (FID) for the Ima gas field, an offshore development aimed at supplying liquefied natural gas (LNG) for the Nigeria LNG (NLNG) project. Operated by TotalEnergies with a 40% stake and owned by AMNI with a 60% stake, the Ima gas field spans offshore licences OML 112 and 117 near Bonny Island.
Expected to commence production in 2028, the Ima field will generate 350 million cubic feet of gas per day, equivalent to over 60,000 barrels of oil equivalent per day. Linked to the NLNG plant via a 22km pipeline, the Ima gas field will supply roughly a third of the gas required for the NLNG Train 7 expansion, which aims to boost liquefaction capacity from 22 million tonnes per annum (mtpa) to 30mtpa.
Utilizing a single platform, the Ima project will not involve flaring and will incorporate permanent methane detection and monitoring systems. Described by TotalEnergies as a low-cost and low-emissions development, the Ima gas field will be developed and managed by primarily Nigerian companies. During the development phase, approximately 60% of the workforce is anticipated to originate from the local communities hosting the project.
TotalEnergies' Nigeria Exploration and Production President Nicolas Terraz expressed satisfaction with the FID, highlighting it as a new milestone in their integrated gas strategy in Nigeria. This development, following the sanctioned Ubeta project in 2024, underscores TotalEnergies' capability to unlock low-cost and low-emissions gas resources through Nigeria's non-associated gas incentive.
The Ima project will bolster Nigeria LNG's gas supply, creating lasting value for all partners and Nigeria. With a presence in Nigeria for over 60 years and employing more than 1,800 people across its segments, TotalEnergies produced 188,000boepd in Nigeria in 2025 and operates around 540 service stations.
Written by urgent.news from Yahoo Finance's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.