Magnetic Flux Leakage Inspection

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VELOSI provides Magnetic Flux Leakage (MFL) Inspection for the oil and gas, petrochemical and power industries.

In MFL technology, the component is magnetized to a level at which the presence of a significant local reduction in material thickness causes distortion of the internal magnetic field, allowing flux lines to break the test surface at the area of the discontinuity.

With MFL, sensors are used to give an electrical signal at the leakage site. This signal operates an audible or visual alarm to alert the inspector or stores the event for computer mapping of the area. MFL requires two basic items: a method of magnetization and a method of detecting the leakage field.

Our solution
VELOSI provides Magnetic Flux Leakage (MFL) Inspection for the oil and gas, petrochemical and power industries. The ‘FloormapVS’ system is the latest generation of MFL detection techniques.

Captured data is imported onto the desktop reporting software for further analysis and for creating visual representations of the defects on a tank-wide or plate-by-plate basis. Some of the software functions are:

  • Re-analysis of defects to identify profile type and re-size, if required
    • Automatic generation of CAD drawing of tank floor
    • Add appurtenances, such as manways, pipes, sumps, etc.
    • Zoom function covering whole floor or specific areas
    • Numbering system
  • Show major defects per track
  • Show selected levels of corrosion
  • Edit data at global/plate or individual defect level
    • Add defects from other types of inspection into the Floormap report
    • Add MFL data from annular inspection into Floormap report
    • Weld defect reporting function
  • Floormap data 2D display at 15 mm resolution
  • Statistics per plate or per tank
  • Report generator with comprehensive printing
Benefits
  • This system is designed to detect, size and map under floor corrosion on above ground storage tanks
  • The upgraded magnets improve detectability and sizing on thicker materials and faster data capture