To analyze historical log and production data of oil wells to identify patterns and trends in underperformance.
To build predictive models using statistical and machine learning techniques to forecast future performance of oil wells.
To develop recommendations for optimizing operations and improving productivity of underperforming oil wells.
To evaluate the financial impact of implementing the proposed recommendations on overall profitability.
Collect and preprocess historical log and production data of oil wells.
Conduct exploratory data analysis to identify potential factors influencing underperformance.
Build and compare different predictive models to forecast future performance of oil wells.
Develop recommendations for improving productivity and profitability of underperforming oil wells.
Present findings and recommendations to stakeholders in a professional manner.
