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- Title
Metal magnetic memory-based fluxgate sensor for imaging detection of coiled tubing.
- Authors
Zhaoming, Zhou; Taihe, Shi; Runqiao, Yu; Zhanghua, Lian; Fu, Wan
- Abstract
As the application of coiled tubing in acidic conditions with high-pressure and high-temperature wells increases, the risk of failure rises. Thus, there is a need to apply the right technique to assure integrity. In line with the particularity of coiled tubing operations and the requirements for online coiled tubing inspection, we propose using the metal magnetic memory (MMM) method for automatic detection of microcracks, corrosion and larger stress concentrations in coiled tubing. This technique is based on a high-precision fluxgate sensor, which measures the magnetic field changes in the geomagnetic field. It achieves this without the need for external magnetisation and demagnetisation to identify the location of defects. We use iron-based amorphous alloy to create the magnetic core of the smaller fluxgate sensor. Mathematical statistics of the gradient of the magnetic field are used to evaluate the magnetic anomaly amplitude and coordinates. This helps to establish a defect depth formula, using the least squares fit correlation coefficient. This paper calculates a 2D matrix of the defects with embedded depth and image colour contour. This 2D imaging is achieved with real-time display features of the defect. The test-rig is designed and produced for fast automatic detection. Experimental results show that the method can rapidly detect coiled tubing defects with 2D imaging, and is not affected by either the surface condition of the tubing or the higher sensitivity. In addition, minute changes in the gap between the sensor and the tubing surface do not affect the test results.
- Subjects
FLUXGATE magnetometers; TUBE testing; MAGNETIC memory (Computers); IMAGE processing; FRACTURE mechanics
- Publication
Insight: Non-Destructive Testing & Condition Monitoring, 2014, Vol 56, Issue 12, p691
- ISSN
1354-2575
- Publication type
Article
- DOI
10.1784/insi.2014.56.12.691