EquaWell Automated Cased Hole Logging Interpretation

In carbon capture and storage (CCS) wells, as well as in plug and abandonment of oil and gas wells, it is important to inspect the condition of the casing and the quality of the cement around the casing. Without adequate bonding, CO₂ could leak through compromised barriers, posing significant environmental risks and safety hazards.

We combine expertise in the physics of wave propagation with machine learning to deliver precise evaluations of bonding integrity. Using ultra-sonic (pitch-catch, pulse-echo) and sonic data, we assess bonding quality, calculate the total length of the sealing barrier, locate the top of cement, differentiate types of bonding and divide the well into sections based on the combined information from the well logs.

Our automated analysis generates detailed reports on whether a cementing job meets safety standards. While the process is fully automated, our internal tools allow for manual review and verification, ensuring that the automated system provides accurate results and enabling further in-depth analysis when necessary.

This analysis is designed to work seamlessly with data from qualified well-logging technologies, widely used across Norway and Europe. Our approach allows for rapid application to both existing datasets and new logging runs. The pipeline has been successfully tested on DLIS data from real logging operations in European wells, yielding strong results in safeguarding CCS and plug and abandonment operations against CO₂ leakage and ensuring environmental protection.