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.
CHEN Jian-fei,WANG Meng,JIANG Wen-jun,CHEN Li-na,WANG An-quan,CONG Xue-ming.Buried Pipeline Detection Data Analysis Based on Grey Correlation[J].Surface Technology,2017,46(4):264-269
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
投稿时间:2016-11-30  修订日期:2017-04-20
DOI:10.16490/j.cnki.issn.1001-3660.2017.04.043
中文关键词:  埋地管道  检测  灰色关联度  防腐层  工作温度
英文关键词:buried pipeline  detection  grey correlation  anticorrosive coating  operating temperature
基金项目:
作者单位
陈健飞 胜利油田技术检测中心,山东 东营 257000 
王孟 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 
江文军 胜利油田技术检测中心,山东 东营 257000 
陈丽娜 胜利油田技术检测中心,山东 东营 257000 
王安泉 胜利油田技术检测中心,山东 东营 257000 
丛雪明 胜利油田技术检测中心,山东 东营 257000 
AuthorInstitution
CHEN Jian-fei Technical Test Center of Shengli Oilfield, Dongying 257000, China 
WANG Meng Shandong Provincial Key Laboratory of Oil & Gas Storage and Transportation Safety, School of Pipeline and Civil Engineering, China University of Petroleum, Qingdao 266580, China 
JIANG Wen-jun Technical Test Center of Shengli Oilfield, Dongying 257000, China 
CHEN Li-na Technical Test Center of Shengli Oilfield, Dongying 257000, China 
WANG An-quan Technical Test Center of Shengli Oilfield, Dongying 257000, China 
CONG Xue-ming Technical Test Center of Shengli Oilfield, Dongying 257000, China 
摘要点击次数:
全文下载次数:
中文摘要:
      目的 通过对胜利油田技术检测中心2014和2015年检测的管道数据进行调研、分析,找出影响管道防腐层质量的主要因素。方法 利用灰色关联度分析方法,以差劣等级防腐层长度占管道长度的比例为参考序列,分析了运行年限、运行温度、操作压力、土壤埋深以及土壤电阻率等因素对其影响程度。结果 通过对数据的分析,发现运行温度和运行年限与防腐层质量的关联度较大,并分别分析了这两个因素对防腐层质量的影响规律。结论 油田防腐层质量的关联度排序是:工作温度>运行年限>埋深>土壤电阻率>运行压力。通过分析得出,在工作温度为50~70 ℃的管道中,防腐层的差劣等级所占的比例较大,在管道检测时应重点检测该温度范围内的管道防腐层。运行年限超过20年的管道,差劣等级的防腐层所占比例直线上升,管道防腐层老化严重,检测管道时应该缩短检测周期,及时对防腐层破损处进行合理维修。
英文摘要:
      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 pressure, soil depth and soil resistivity on anticorrosive coating quality were analyzed in the method of grey relation analysis. According to the data analysis, operating temperature and operating period were closely related to anticorrosive coating, the influencing 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.
查看全文  查看/发表评论  下载PDF阅读器
关闭

关于我们 | 联系我们 | 投诉建议 | 隐私保护 | 用户协议

您是第20120455位访问者    渝ICP备15012534号-3

版权所有:《表面技术》编辑部 2014 surface-techj.com, All Rights Reserved

邮编:400039 电话:023-68792193传真:023-68792396 Email: bmjs@surface-techj.com

渝公网安备 50010702501715号