表面技术2017，Vol.46Issue(4)：264-269,6.DOI:10.16490/j.cnki.issn.1001-3660.2017.04.043
基于灰色关联度的埋地管道检测数据分析
Buried Pipeline Detection Data Analysis Based on Grey Correlation
陈健飞 1王孟 2江文军 1陈丽娜 1王安泉 1丛雪明1
作者信息
- 1. 胜利油田技术检测中心,山东 东营 257000
- 2. 中国石油大学 储运与建筑工程学院 山东省油气储运安全省级重点实验室,山东 青岛 266580
- 折叠
摘要
Abstract
The work aims to identify main influencing factors of anticorrosive coating quality by studying and analyzing pipeline data of Technical Test Center of Shengli Oilfield detected in 2014 and 2015. With proportion of coating length with poor grades to pipe length as reference sequence, impact of factors including service life, operating temperature, operating pres-sure, soil depth and soil resistivity on anticorrosive coating quality were analyzed in the method of grey relation analysis. Ac-cording to the data analysis, operating temperature and operating period were closely related to anticorrosive coating, the in-fluencing law of two factors on anticorrosive coating quality was analyzed. The correlation rank of the oilfield anticorrosive coating quality is: operating temperature > operating years > burial depth > soil resistivity > operating pressure. Poor grade coating accounts for larger proportion in the pipeline with operating temperature of 50~70℃ . Anticorrosive coating of pipelines within this temperature range shall be key detection object during pipeline detection. For pipelines having operating for more than 20 years, the poor grade coating accounts for greater proportion and pipeline coatings are seriously aged. Detection cycle shall be shortened during detection, and coating breakage shall be repaired in a timely and reasonable manner.关键词
埋地管道/检测/灰色关联度/防腐层/工作温度Key words
buried pipeline/detection/grey correlation/anticorrosive coating/operating temperature分类
能源科技引用本文复制引用
陈健飞,王孟,江文军,陈丽娜,王安泉,丛雪明..基于灰色关联度的埋地管道检测数据分析[J].表面技术,2017,46(4):264-269,6.
