Quantization of pipeline magnetic flux leakage detection signal under load

被引:0
|
作者
Liu T. [1 ]
Liu B. [1 ]
Feng G. [1 ]
Lian Z. [1 ]
Yang L. [1 ]
机构
[1] School of Information Science and Engineering, Shenyang University of Technology, Shenyang
关键词
Magnetic charge model; Magnetic flux leakage detection; Stress;
D O I
10.19650/j.cnki.cjsi.J2108344
中图分类号
学科分类号
摘要
Pipeline magnetic flux leakage internal detection technology is internationally recognized as the most effective method for safety maintenance of long-distance oil and gas pipelines. To solve the problem of quantifying the internal detection signal of magnetic flux leakage in long-distance oil and gas pipelines under load, an improved three-dimensional magnetic charge mathematical model is formulated, which is based on the J-A theory. The influence of the magnetomechanical influence of pipeline defects on the magnetic flux leakage signal under internal pressure is analyzed. The influence law of the defect size on the magnetic flux leakage signal under the action of external load is studied, and the correctness of the theoretical model is evaluated through systematic experiments. Research results show that the internal pressure of the pipeline increases, the magnetization of the material decreases, and the radial and axial components of the magnetic flux leakage signal decrease exponentially. The peak value of the radial component and the maximum axial component of the magnetic flux leakage signal increase with the depth of the defect. The growth rate gradually decreases, and the eigenvalue changes by 6.5% and 14.7%, respectively. The peak growth rate of the radial component gradually decreases with the increase in length, and the axial maximum value decreases linearly. The eigenvalue changes by 21.0% and 36.8%, respectively. The axial component is more sensitive to changes in defect depth and length. © 2022, Science Press. All right reserved.
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页码:262 / 273
页数:11
相关论文
共 26 条
  • [1] LI J, CHEN SH L, HUANG X J, Et al., Review of leakage monitoring and quasi-real-time detection technology for long distance oil and gas pipeline, Chinese Journal of Scientific Instrument, 37, 8, pp. 1747-1760, (2016)
  • [2] ZHENG H L, HUANG W H., Development status and prospect of safety assurance technology for oil and gas pipeline and storage and transportation facilities, Oil and Gas Storage and Transportation, 36, 1, pp. 1-7, (2017)
  • [3] KONG CH J, HU L F, FU ZH L, Et al., Discussion on the status quo and development trend of pipeline inspection technology, Total Corrosion Control, 33, 8, pp. 4-8, (2019)
  • [4] YAN S, ZHANG C, LI R, Et al., Theory and application of magnetic flux leakage pipeline detection, Sensors (Basel, Switzerland), 15, 12, pp. 31036-31055, (2015)
  • [5] LI M F, XUE X D, MA J, Et al., Operational reliability evaluation system of complex natural gas pipeline network system, Oil & Gas Storage and Transportation, 38, 7, pp. 738-744, (2019)
  • [6] YANG L J, GENG H, GAO S W, Et al., Research on the establishment process and influencing factors of saturation field in high-speed magnetic flux leakage detection, Chinese Journal of Scientific Instrument, 40, 10, pp. 1-9, (2019)
  • [7] YANG L J, GENG H, GAO S W., Magnetic flux leakage internal detection technology of oil and gas pipeline for long distance transportation, Chinese Journal of Scientific Instrument, 37, 8, pp. 1736-1746, (2016)
  • [8] WANG ZH J, YANG L J, GAO S W, Et al., Constraint method for convolution kernel information entropy similarity of pipeline magnetic flux leakage images, Journal of Shenyang University of Technology, 42, 1, pp. 90-95, (2020)
  • [9] LUO N, LIU B, HE L Y, Et al., Exploration of pipeline crack detection technology based on weak magnetic method, Petroleum Planning and Design, 30, 2, pp. 11-15, (2019)
  • [10] YANG L J, XU L, GAO S W., Simulation model analysis and experimental method of Φ273 pipeline electromagnetic excitation, Journal of Shenyang University of Technology, 42, 6, pp. 659-664, (2020)