As Africa is zooming in on brownfield sites for maximum oil recovery, artificial intelligence and machine learning technologies are fuelling the industry's optimisation goals
Redifining operational efficiency by extending field life and maximising output, AI is set to move the oil and gas industry at a US$6.4bn market value by 2030.
As major operators increasingly adopt AI, global oilfield technology companies like Baker Hughes, Halliburton or SLB have opened bases in Africa. SLB's technology is backing several billion-dollar oil projects in Angola, and has introduced the Africa Performance Centre in Luanda this year. It has a strong presence in other regions of Africa as well.
Repsol has several developments underway in Libya, Algeria and Morocco and strives to bolster production across these markets.
Enhanced oil recovery is currently witnessing a disruption as AI has unlocked access to large datasets which is unimaginable with traditional systems. This makes a huge difference for operators in taking the right decisions. With deep geological and production data in hand, reservoir management and pattern identification become much simpler.
AI is now way past the experimental stage, and is being adopted on a policy level as well. Many African countries are streamlining policy to support EOR at legacy assets. Angola, for example, implemented its Incremental Production Initiative in 2024 which offers tax incentives to encourage reinvestments in mature oilfields. Energy major ExxonMobil made the first discovery – the Likembe-01 well - as part of the initiative in 2024, demonstrating the role policy plays in unlocking incremental resources. The African Union Commission also declared AI as a strategic priority for the continent in May 2025, citing the role machine-learning plays in transforming the continent’s development trajectory.
These topics will drive conversations at the African Energy Week (AEW): Invest in African Energies 2025 that will be taking place from 29 September 29 to 3 October in Cape Town.