Two Nigerian engineers are leading a technological shift in the country’s oil and gas industry. Their Lagos-based company, Sieger & Co., founded in 2020, is deploying advanced software to tackle long-standing challenges in the sector, introducing a wave of digital innovation to one of Nigeria’s core economic pillars.

As Nigeria’s technology ecosystem grows and the Petroleum Industry Act (PIA) reshapes the energy landscape, Sieger & Co. is applying a data-driven, tech startup mindset to the oil industry. The company is demonstrating that the future of oil and gas extends beyond drilling, placing data and analytics at its centre.

Founders Combine Petroleum and Software Expertise

The strength of Sieger & Co. lies in the partnership between its founders. Victor Adelaja, with formal software architecture expertise, holds a degree in Petroleum Engineering from Covenant University and a Master’s in Oil and Gas IT. He developed his career creating software solutions for the Nigerian oil and gas sector.

David Nnamdi, a Petroleum Engineer trained at the University of Lagos, experienced the limitations of traditional methods while working as a reservoir engineer. Motivated to find better solutions, he taught himself Python and mastered data science to build tools that automate complex analyses.

Their paths converged professionally, leading to a collaboration on a technical paper for the Society of Petroleum Engineers. The research, which introduced a machine learning approach for production forecasting, became the blueprint for Sieger & Co., establishing the venture on a foundation of peer-reviewed innovation.

Advanced Technology for Accurate Forecasting

A central task for any oil and gas operator is production forecasting, traditionally reliant on methods like Decline Curve Analysis (DCA). While essential, these conventional approaches can struggle to predict performance accurately under changing well conditions.

Sieger & Co.’s software enhances these traditional methods. Its production forecasting platform integrates decline curves with advanced algorithms, including Artificial Neural Networks (ANNs) and C-curve models, creating a more robust and dynamic tool. By analysing key flow indicators such as well pressure and water production, the platform produces forecasts that are significantly more accurate, particularly in complex operational scenarios.

The company has also focused on accessibility. Through mobile and web applications using Natural Language Processing (NLP), non-technical executives can query the system in plain English. Users can ask, for example, “What is the forecast for our assets in OML X?” and receive immediate, actionable answers. This approach aims to break information barriers and accelerate informed decision-making across organisations.

Market Adoption and Future Prospects

Since its launch in 2020, Sieger & Co. has secured adoption among several Nigerian oil and gas companies, indicating a strong industry appetite for digital solutions. The platform is being applied in areas including dynamic production forecasting, intelligent reserves estimation, and custom software development for specific operational challenges.

Adelaja and Nnamdi’s work represents a milestone for Nigerian technology content. Their homegrown solutions address local challenges, reduce capital flight, and de-risk upstream sector investments. As the country navigates a new era under the Petroleum Industry Act, Sieger & Co. illustrates that digital expertise could become one of Nigeria’s most valuable resources in energy innovation.