Oil production forecasting in a heterogeneous Niger Delta reservoir using ensemble machine learning and cognitive computing
This study improves oil production forecasting for a heterogeneous Niger Delta reservoir using an ensemble of Long Short-Term Memory (LSTM), Prophet, and Random Forest (RF) models. Thirty-two years (1992–2024) of Gabo Field production data were analysed to generate a five-year forecast using a workflow that combines de...