管道缺陷类型多特征量阈值识别方法

Multi-characteristic threshold identification method for pipeline defect types

目前,针对油气管道表面缺陷的识别尚无有效的识别方法。针对该问题,基于金属磁记忆技术,利用带圆孔腐蚀缺陷和直角弯应力集中缺陷的管道测试件获取磁记忆检测试验数据,建立了一种针对管道腐蚀缺陷和早期应力集中缺陷识别的多特征量统计识别方法。在实验室环境下,利用该方法对3个测试件进行了缺陷类型识别;在油田现场环境下,分别对两条管道的缺陷类型进行了非盲测验证和盲测验证,识别正确率均达到80%以上,表明所建立的缺陷类型识别方法对于管道腐蚀缺陷和早期应力集中缺陷的识别是有效的,且识别率较高,可为该领域研究提供一定参考。

At present,there is still a lack of effective identification methods for oil and gas pipeline surface defects.To solve this problem,based on metal magnetic memory technology,a multi-characteristic statistical identification method for the identification of pipeline corrosion defects and early stress concentration defects was established through the magnetic memory test data obtained from pipeline test pieces with circular-hole corrosion defects and elbow bend stress concentration defects.Under laboratory conditions,the defect types of the three test pieces were identified by this method.Under the site conditions of the oil field,non-blind test and blind test were respectively conducted to verify the defect types of two pipelines.The identification accuracy rate is above 80%,which indicates that the established defect type identification method is effective and has high identification rate for the identification of pipeline corrosion defects and early stress concentration defects,so it can provide certain reference for the research in this field.