Well integrity and lifecycle management data analytics approach

PhD Candidate David Semwogerere

Main Supervisor Sigbjørn Sangesland

Sponsor: Petrobras

The project objective is to develop a system of systems for well integrity and lifecycle management on the Norwegian and Brazilian continental shelfs. The system will be used for well integrity monitoring and control, failure detection and prediction of critical faults as well as degradation mechanisms in the well lifecycle. In addition, by understanding degradation mechanisms, we can extend the life of existing wells, reducing costs of drilling new wells, while maintaining well integrity. We aim to achieve this by applying data analytics and available artificial intelligence models on big data collected during the entire lifecycle of the well from concept design, construction, operation up to plug and abandonment. This data ranging from well logs, sensor data and post well operations data.