- Tubing corrosion—Detecting metal loss at early times to diagnose a possible tubing hole
- Casing corrosion—Detecting anomalies in casing thickness that may indicate casing corrosion
- Time-lapse corrosion monitoring—Identifying variations in casing thickness over time to track development of corrosion
- Pipe collar corrosion—Correlating spinner, temperature and multiphase sensor data analysis via algorithm to find corrosion in pipe collars
The log example below illustrates MID logging results in a two-barrier case—a casing and a tubing. The short-sensor data panel (near delta) accurately displays tubing collars and indicates that the tubing is in good condition. The long-sensor data panel (far delta) shows casing collars in blue, less distinct because it is farther from the tool. An anomaly detected in Zone 1 indicates corrosion in the 95⁄8-in. casing.
Additionally, an X-nipple in Zone 2 is clearly identified as metal loss in the tubing thickness profile, and as horizontal brown and blue bars in the near and far delta panels. The perforations in the 95⁄8-in. casing are accurately picked up, as shown in the far delta panel and the casing thickness profile.