Application of Machine Learning-Based Models in Early Detection of Production Anomalies in Oil and Gas Wells
The early detection of production anomalies in petroleum wells is critical for optimizing operational efficiency, reducing downtime, and mitigating environmental risks, particularly in complex and prolific regions like the Niger Delta. This study investigates the application of both unsupervised and supervised artifici...