Data Analyst with 4+ years turning raw data into dashboards and reports that drive decisions. Now building toward Data E

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Nigar Majidzada  • Peerlist

Project Overview Water injection is a widely used secondary recovery technique in the oil and gas industry to maintain reservoir pressure and improve oil recovery. Predicting the injectivity rate -- the volume of water injected per day -- is critical for: Optimizing injection schedules and volumes Detecting early signs of formation damage or wellbore issues Reducing operational downtime and costs Planning maintenance and workover operations This project applies supervised machine learning models to historical monthly well data spanning 1998--2019 to forecast injectivity rates and identify the key operational factors that drive injection performance.