首页|油气管道组合缺陷漏磁检测信号数值模拟研究

油气管道组合缺陷漏磁检测信号数值模拟研究

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为解决管道组合缺陷之间漏磁检测信号互相干扰,难以识别的问题,采用有限元方法建立仿真模型,研究管道内外、不同形状缺陷以及内外组合缺陷邻近情况下的漏磁场检测信号规律.研究结果表明:管道缺陷的漏磁检测信号在其轴向和径向分量上均存在显著差异;组合缺陷的检测信号存在相互干扰且具有一定的叠加性;当缺陷深度约为管壁厚的10%、25%、40%时,轴向信号干扰距离分别约为缺陷长度的1 倍、2 倍、3 倍,径向信号干扰距离均约为长度的4 倍,组合缺陷径向信号的互相干扰程度大于轴向信号,缺陷深度对轴向信号的影响大于径向信号.研究结果可为油气管道组合缺陷的识别提供理论依据.
Numerical simulation study on magnetic flux leakage testing signals of combined defects in oil and gas pipelines
To deal with the problem of mutual interference and difficulty in identifying the magnetic flux leakage testing sig-nals between the combined defects of pipeline,a simulation model was established by using the finite element method,and the laws of magnetic flux leakage testing signals inside and outside the pipeline of the defects with different shapes and the adja-cent internal and external combined defects were studied.The results show that there are significant differences in the axial and radial components of magnetic flux leakage testing signals of pipeline defects.The testing signals of the combined defects have mutual interference and certain superposition.When the defect depth is about 10%,25%,and 40%of the pipeline wall thickness,the interference distance of axial signals is about 1,2,and 3 times as the defect length,respectively,and the inter-ference distance of radial signals is about 4 times as the length.The mutual interference degree of combined defect radial sig-nals is greater than that of axial signals,and the influence of defect depth on axial signals is greater than that of radial signals.The research results can provide a theoretical basis for identifying the combined defects in oil and gas pipelines.

safety engineeringmagnetic flux leakage testingcombined defectsfinite elementinterference distance

莫丽、雍浩、李长俊、陈超

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西南石油大学 机电工程学院,四川 成都 610500

西南石油大学 石油与天然气工程学院,四川 成都 610500

四川省燃气安全与高效利用工程技术研究中心,四川 成都 610500

中国安全生产科学研究院,北京 100012

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安全工程 漏磁检测 组合缺陷 有限元 干扰距离

四川省重点研发项目

2023YFS0412

2024

中国安全生产科学技术
中国安全生产科学研究院

中国安全生产科学技术

CSTPCD北大核心
影响因子:1.119
ISSN:1673-193X
年,卷(期):2024.20(1)
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