Multifinger Imaging Tool 60-Finger MIT
Provides radial measurements for advanced cross-sectional analysis of tubular corrosion
- Monitoring internal casing corrosion • or scale buildup
- Evaluation of drilling wear
- Identification of split, parted, or deformed casing
- Evaluation of deformation caused by geomechanical factors
Features and Benefits
- The multifinger imaging tool (MIT) is combinable with other Ultrawire™ tools for simultaneous measurements and increased operational efficiency.
- When adequately externally centralized, the MIT is suitable for all well deviations up to and including horizontal wells.
- Optional extended finger lengths enable the MIT to expand its measuring range, delivering results over a broad range of casing sizes.
- Statistical analysis using Sondex Well Integrity Processing, Evaluation & Reporting (WIPER) software and 3D data analysis using Sondex Well Integrity Visual Analysis (WIVA) determines the true condition of the casing.
With high accuracy, the 60-finger MIT detects very small changes in the internal surface of tubing or casing. The tool can be run with extended-length fingers to increase its measurement range. Additionally, the 60-finger MIT can be run in combination with other Ultrawire well-integrity instruments and production logging tools—either on single-conductor wireline (which requires surface power and control) or on slickline (which requires battery power, downhole memory, and control).
When the tool is run in hole, the fingers are closed to prevent damage. At logging depth, a motor is activated from the logging system or by the memory tool, and the fingers open. As the tool moves up the hole, it continuously measures the surface condition of the pipe. An inclinometer in the tool indicates the finger positions relative to the high side of the pipe so that casing features can be oriented correctly during data processing.
MIT data can be used to generate 3D images of pipe condition using Sondex WIVA visualization software. Sondex WIPER software can also be used for statistical analysis of the pipe condition.