MFL Inline Inspection Service
MFL Inline Inspection Service, equipped with a probe that induces changes in magnetic field, utilizes the principle that the thickness of the pipe wall affects changes in magnetic flux leakage, collects changes in magnetic flux leakage, downloads data after operation, and uses interpretation and analysis software to identify and calculate the data. It can determine the precise position and size of defect information and related pipeline accessories, and achieve the detection of pipeline metal loss.
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Product Introduction
Core technology:
Efficiency and Automation:
By using MFL technology to achieve online non-destructive testing of pipelines, we can avoid production losses and improve testing efficiency by 40% -60%.
Integrating automated report generation (such as SOLIDWORKS Inspection) reduces document processing time by 90%.
High precision and reliability:
Adopting multi-sensor fusion and adaptive filtering algorithm, the accuracy of magnetic leakage signal recognition reaches ± 5cm, supporting complex rust and crack detection.
Multi vendor technology comparison and validation (such as the Alliance Pipeline project) to ensure consistency of results.
Non destructive and adaptive:
No need to cut or shut down pipelines, suitable for high-pressure/high-risk scenarios such as oil and gas, chemical industry, etc.
Compatible with different pipe diameters (≥ Φ 200mm) and materials (steel, alloy, etc.), with strong adaptability to curvature radius.
Product specification
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Specification range: |
8"~ 56" |
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Identification range: |
·Metal loss defects such as internal and external wall corrosion, mechanical damage, etc ·Cracks, abnormal defects in welds ·Pipeline characteristics such as circumferential welds, bends, and lengths ·Valves, tees, and other pipeline installations |
Product details
Photos of MFL Inline Inspection Service
Application:
✅Long distance oil and gas pipelines
✅Storage tank/pressure vessel
✅Industrial Quality Inspection Integration
Packaging and delivery
Packing: by container or as customers's required.
Delivery: deliver to major ports in your country.
FAQ
Q: What is the principle of MFL detection?
A: By magnetizing the object being measured, the magnetic flux leakage signals caused by surface and subsurface defects are captured, and the defect type and size are analyzed using algorithms.
Q: What materials are suitable for pipelines?
A: Mainly targeting magnetic conductive metal materials (such as carbon steel and alloy steel), non-magnetic materials require the combination of eddy current or other technologies.
Q: What factors affect the accuracy of detection?
A: Pipeline wall thickness, magnetization intensity, sensor sensitivity, and environmental interference (such as temperature fluctuations).
Comparing multiple rounds of detection data can optimize errors (such as the Alliance Pipeline case).
Q: How long does it take to generate the report?
A: A preliminary report can be output within 24 hours after standard testing, while complex scenarios require 48 hours (including AI assisted analysis).
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