We see Rovuma LNG as the new frontier in the global hydrocarbon industry, thanks to the extraordinary discoveries of natural gas made after an exploratory campaign lasting only three years. The initial phase of the Rovuma LNG project will develop the Mamba reservoirs in Area 4. The project also involves an independent plan (coordinated with Anadarko, the operator of Area 1) to develop part of the reserves that straddle Area 1, as well as some additional reserves. This will help provide reliable and affordable energy for the people of Mozambique and for the project’s co-venturers, and create long-term economic benefit for the area.
ExxonMobil will lead the construction and operation of onshore facilities and related liquefaction trains for the Rovuma LNG project, while Eni will lead Upstream developments and operations. In May 2019, the Mozambique government approved the project’s development plan for the production, liquefaction and marketing of natural gases from three of the reservoirs in the Mamba complex, two of which straddle Area 1. Considerable progress has been made in LNG marketing activities with regard to the current negotiations over binding sales agreements, in parallel with the finalisation of the development plan and project financing.
Within the Mamba Complex discoveries, in 2020 the Rovuma LNG project provides for the development of the straddled reserves of Area 1 according to its independent industrial plan, coordinated with the operator of Area 1 (Total). The development project will include also a part of non-straddled reserves. The Area 4 operators progressed development activities towards a final investment decision (FID). The project provides the construction of two onshore LNG trains with capacity of approximately 7.6 mmtonnes/y each, fed by 24 subsea wells and facilities for storing and exporting LNG. In 2019, the plan of development (POD) was approved by the relevant Authorities. The Area 4 operators progressed with reassessment of the project, including maximizing synergies with Area 1, in order to optimize costs.
