Simulation and Design of a Balanced-Field Electromagnetic Technique Sensor for Crack Detection in Long-Distance Oil and Gas Pipelines

Lijian Yang, Jiayin Li, Wenxue Zheng and Bin Liu
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Lijian Yang: School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
Jiayin Li: School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
Wenxue Zheng: School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China
Bin Liu: School of Information Science and Engineering, Shenyang University of Technology, Shenyang 110870, China

Energies, 2022, vol. 15, issue 14, 1-19

Abstract: Due to the extremely small size and arbitrary orientation of the cracks, a highly sensitive sensor based on the balanced-field electromagnetic technique was designed for in-line inspection of oil and gas pipeline cracks. A balanced-field electromagnetic technique sensor mutual inductance model was established and used to theoretically analyze the parameters affecting sensitivity. Finite element simulation was used to analyze the specific effects of the magnetically conductive medium, the number of coil turns, and the sensor lift-off height on the sensor output, respectively, and the sensor parameters of high sensitivity were determined. The detection effect of the sensor on the pipeline crack was tested by the single-sensor experiment and the pulling test. The results show that the designed balanced-field electromagnetic technique sensor is effective in detecting both circumferential and axial cracks of 0.5 to 6 mm in depth. As the crack depth increases, the sensitivity decreases and the detection voltage amplitude increases linearly. The sensitivity of the sensor is highest when detecting circumferential and axial cracks of 1 mm in depth at 1.76 and 0.87 mV/mm, respectively. In addition, the amplitude of the circumferential crack signal at the same depth is approximately twice that of the axial crack signal.

Keywords: long-distance oil and gas pipelines; balanced-field electromagnetic technique; crack detection; sensor design; sensitivity (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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