By Funke Taylor
OPINION/EDITORIAL
In January 2026, Tony Attah, CEO of Renaissance Africa Energy, made a bold claim: Artificial Intelligence could revive 300 abandoned wells in the Niger Delta. While some may see this as purely optimistic, industry insiders know it is a grounded reality provided Nigeria changes how it handles data.
The truth is that the Niger Delta has not “run out” of oil; it is suffering from a visibility crisis. The three points below outline a strategic response on how Nigeria can turn abandoned steel into flowing gold through a digital-first approach.
- Ranking the ‘Quick Wins’ from Legacy Reserve Books
The fastest route to production is not drilling new wells; it is ranking the ones Nigeria already has. Companies like Shell possess massive reserve books containing decades of data on assets that were decommissioned not because they were empty, but because they were considered uneconomic under 20th-century cost structures.
The Strategy here is to implement AI-Driven Ranking: Instead of manual reviews, AI can ingest entire reserve books and rank wells using a multi-constraint model:
- Proximity to Flow Stations: Can the well be tied back within 30 days?
- Well Integrity: Does the casing still hold?
- Recovery per Unit Cost ($/bbl): Which wells offer the highest margin under the current $65/bbl reality?etc.
The result is a “Top 40” list of wells that can be reopened with a simple intervention (workover), rather than a $20Million drilling campaign.
“For this “magic” to become reality, data cannot remain scattered in dusty basements. Success depends on a high-value National Data Repository (NDR). While the NUPRC has already centralized massive reserve books and established the Integrated Data Mining and Analytics Centre (IDMAC), the challenge remains the sheer volume and usability of information.”
- Finding “Hidden” Oil Behind Casing
Many wells in the Niger Delta were produced from a single primary reservoir, often leaving marginal zones behind pipe or bypassed entirely. Traditionally, identifying these required expensive new logging runs.
The strategy here are
- Automated Log Reinterpretation
AI algorithms can process legacy well logs at a scale humans cannot, identifying patterns in resistivity and porosity data that were previously overlooked. AI can pinpoint zones behind casing. - Zero-Drill Reserves
By utilizing existing boreholes, operators can perforate a new section of pipe to access unproduced reserves. This turns a “dead” asset into a producer at a fraction of the cost.
- High-Resolution Four Dimensional (4D) Seismic & AI Inversion
The ultimate tool for a mature basin is 4D (time-lapse) seismic. Comparing seismic surveys taken years apart, operators can see exactly how oil has moved, and where it has remained trapped.
The Nigerian Upstream Petroleum Regulatory Commission (NUPRC) is already encouraging the use of 3D and 4D seismic. The real breakthrough happens when AI takes over the complex task of inversion converting seismic soundwaves into accurate reservoir maps.
The strategy here are
- Identify ‘Sweet Zones’
In mature basins, oil often becomes trapped in pockets or unswept zones. AI compares 4D seismic surveys to determine precisely where hydrocarbons remain. - Precision Infill Drilling
Instead of “hitting and hoping,” operators can deploy AI-guided sidetracks to drain trapped reservoirs with surgical accuracy.
For this “magic” to become reality, data cannot remain scattered in dusty basements. Success depends on a high-value National Data Repository (NDR). While the NUPRC has already centralized massive reserve books and established the Integrated Data Mining and Analytics Centre (IDMAC), the challenge remains the sheer volume and usability of information.
The industry does not need more human reviewers; it needs a Predictive Ranking Engine, an AI layer integrated directly into the NDR to automate filtering across thousands of shut-in wells.
The success of the North Sea Transition Authority (NSTA) and the Norwegian Petroleum Directorate (NPD) shows that data becomes a national asset when it is machine-readable. Nigeria has already built the library; now it needs to hire the “AI Librarian.”
To fully support the 300-well revival, the next phase of the NDR must:
- Adopt OSDU Standards: Ensure all data (logs, seismic, reports) follow the Open Subsurface Data Universe framework so AI tools can ingest it without extensive cleaning.
- Democratize Insights: Provide AI ready data packages to all players, including indigenous operators enabling them to innovate as quickly as the global majors.
- Create a Living Digital Twin: As wells are revived, data must flow back into the NDR in real time, creating a self-improving loop of national energy intelligence.
The bottom line is that Tony Attah is right: AI can revive those 300 wells, but AI is only the engine; data is the fuel. If Nigeria builds a world-class Data Repository, it will not just revive wells, it will revive an entire economy.
Funke Taylor is an energy industry strategist and consultant operating at the intersection of infrastructure, capital, and digital transformation. With a foundation in engineering and EPC project environments, she brings field insight into the boardroom, advising executives on data-driven, future-ready upstream strategy.
She is the Host of the Energy Web Conference, convening professionals across oil, gas, power, AI, and policy to accelerate digital innovation in energy worldwide. Her work transforms legacy assets into global digital opportunity. She can be reached at funke@theenergyaxis.com
