ML-CorrModel

When injecting CO2 in an existing oil and gas reservoir the legacy wells are the main risks for potential future leakage. It is therefore important to understand how the legacy well barriers will behave over time. The casing/cement interphase at the top of the reservoir will be exposed to the CO2 and this project is looking into the potential degradation of the cement/metal interface under CO2 storage conditions. In addition, a data driven machine learning (ML) based model will be built for CO2 storage related corrosion prediction, based on empirical data (incl data from the CO2 Corr project). The model will include parameters such as material aspects, as well as exposure condition variations in relation to CO2 storage.

Corrosion Prediction Models for Carbon Capture, Utilisation and Storage (CCUS)