M. Nnamani

Univariate Time-Series Anomaly Detection in Crude Oil Production Volumes Using Unsupervised Learning Techniques

Accurate and timely detection of production anomalies is critical for optimizing well performance and preventing unplanned shutdowns in crude oil operations. However, many producing fields lack comprehensive multivariate sensor data, limiting the effectiveness of traditional monitoring approaches. This study presents...