Project Description
During wellbore drilling and construction, cement is placed in annular spaces between the casings and rock formations exposed to the borehole. Cement is also widely used for well plugging-and abandonment (P&A). In both cases, the main purpose of cementing is to achieve zonal isolation, i.e., provide barriers against fluid seepage along the well trajectory. This is not so easily accomplished, however, as evidenced by widespread occurrence of sustained casing pressure and surface casing vent flow issues.
This study investigated if deep learning algorithms could be used for logging data interpretation. Results suggest
good alignment with AI approaches to monitor well integrity. The model can be developed and optimized further with additional cement logging data.