Digitalization/automation of life cycle well integrity 

PhD Candidate Andreas Teigland

Main Supervisor Sigbjørn Sangesland

Sponsor: NTNU

The main objective of this project is to build a model for predictive real-time casing wear estimation. Automating the procedure of recalibrating the simulations with realtime data continuously during operation is stage one of the project. Secondly, an algorithm for wear mitigation though control of operational parameters will be developed. Expected output of the project is a prototype software for estimation and mitigation of casing wear.

Project result: Real-time estimation of casing wear
New model that continuously estimates casing wear based on real-time drilling measurements