摘要
油气管道作为我国跨地域油气资源流动及交换的主要途径,拥有极高的国家战略意义,因此对其进行损伤检测与评价显得尤为重要。金属磁记忆检测是新兴的管道缺陷检测与识别方法,它可以检测金属构件上以应力集中为特征的危险区域,因为利用的是天然磁场,具有不需要磁化装置、不需要耦合剂等优点而被广泛地应用于管道检测。本次研究基于实验室场地钢制管道模型,对金属管道焊缝与缺陷检测的磁梯度测量进行实验研究。采用归一化磁异常模量等信息提取方法,将不同直径钢管、不同压强、不同观测高度的观测结果进行对比。结果显示,磁异常推断的缺陷位置、类型与实际情况相吻合,表明该磁梯度测量装置和基于磁梯度测量的金属磁记忆检测对管道的焊缝及裂隙缺陷有较好的识别能力。
As the main way of cross-regional oil and gas resource flow and exchange in China,oil and gas pipelines are endowed with extremely high national strategic significance.Therefore,it is particularly important to carry out damage detection and evaluation on them.Mental magnetic memory testing is a new method for pipeline defect detection and identifications,which can detect dangerous areas characterized by stress concentration on mental components.Because of the use of natural magnetic field,no need for magnetization device,no requirement for coupling agent and other advantages,it has been widely used in pipeline detection.Based on the steel pipeline model in the laboratory,the magnetic gradient measurement of mental pipeline welds and defects is studied in this paper.By adopting the different heights are compared,and information extraction methods such as normalized magnetic anomaly modulus.The results show that the observation results of steel pipes with different diameters,different pressures.The location and type of defects inferred from magnetic anomalies are consistent with the actual situation,which indicates that the magnetic gradient measurement device and the mental magnetic memory detection based on magnetic gradient measurement have better recognition ability for weld and crack defects of pipelines.
作者
曲杰
王怀江
陈秋华
李国立
黄尧
刘仁杰
刘双
胡祥云
Qu Jie;Wang Huaijiang;Chen Qiuhua;Li Guoli;Huang Yao;Liu Renjie;Liu Shuang;Hu Xiangyun(CNOOC Inspection Technology Co., Ltd., Tianjin 300456, China;Institute of Geophysics and Geomatics, China University of Geosciences, Wuhan Hubei 430074, China)
出处
《工程地球物理学报》
2021年第3期289-299,共11页
Chinese Journal of Engineering Geophysics
基金
中海油发展重大专项(编号:HFZXKT-ZB2018-03)。
关键词
油气管道
应力集中
金属磁记忆检测
磁梯度测量
裂隙缺陷
oil and gas pipeline
stress concentration
metal magnetic memory detection
magnetic gradient measurement
crack defects
