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[1]祝明,姜晓红,李晓晖,等.管道内外检测数据对齐方法及实例应用[J].油气储运,2022,41(02):153-158.[doi:10.6047/j.issn.1000-8241.2022.02.004]
　ZHU Ming,JIANG Xiaohong,LI Xiaohui,et al.Alignment method of pipeline internal and external inspection data and its application[J].Oil & Gas Storage and Transportation,2022,41(02):153-158.[doi:10.6047/j.issn.1000-8241.2022.02.004]
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管道内外检测数据对齐方法及实例应用

《油气储运》[ISSN:1000-8241/CN:13-1093/TE] 卷: 41 期数: 2022年02期 页码: 153-158 栏目: 出版日期: 2022-02-25
Title:
Alignment method of pipeline internal and external inspection data and its application
文章编号:
1000-8241（2022）02-0153-06
作者:
祝明1; 2; 姜晓红1; 2; 李晓晖1; 2; 李春晖1; 2; 杨静1; 2; 刘承磊1; 2

1.中油管道检测技术有限责任公司;2.油气管道输送安全国家工程研究中心

Author(s):
ZHU Ming1; 2; JIANG Xiaohong1; 2; LI Xiaohui1; 2; LI Chunhui1; 2; YANG Jing1; 2; LIU Chenglei1; 2

1.China Petroleum Pipeline Inspection Technologies Co. Ltd.;2.National Engineering Research Center for Pipeline Safety

关键词:
管道内外检测; 数据对齐; 对齐模式; 完整性评价
Keywords:
internal and external inspection of pipeline;  data alignment;  alignment mode;  integrity assessment
分类号:
TE832
DOI:
10.6047/j.issn.1000-8241.2022.02.004
文献标志码:
A
摘要:

为充分挖掘管道内外检测数据的有用信息，以管道内检测数据为基准，将其与外检测数据对齐，形成以位置信息为基准的内外检测对齐数据库，进而明确影响管道安全运行的主要因素。依托某天然气管道工程，利用内外检测数据对齐方法实现了数据对齐，并对管道腐蚀趋势进行综合分析与开挖验证，结果表明：该管道阴极保护状态良好，土壤电阻率和交/直流杂散电流使外防腐层破损点处形成腐蚀的可能性小；开挖验证证实在管道外壁存在金属损失处和管道外防腐层有破损处均未发现腐蚀行为。内外检测数据实现对齐有利于研究外部环境对管道安全的影响，进而完善管道完整性评价体系。（图8，表2，参29）

Abstract:

In order to fully mine the useful information of the internal and external inspection data of pipeline, the external inspection data is aligned against the internal inspection data, forming an alignment database of internal and external inspection based on the location information, so as to identify the main factors affecting the safe operation of pipeline. With reference to the engineering example of a natural gas pipeline, the alignment and comprehensive analysis of pipeline data were realized with the internal and external inspection data alignment method. The analysis results show that the pipeline is in a good state of cathodic protection. It is of little possibility for the soil resistivity and AC/DC stray current to form corrosion at the damage points of the external anticorrosive coating. In addition, no corrosion was found at the places with metal loss on the outer wall and at the damage points of the external anticorrosive coating of pipeline by excavation. Generally, the aligned internal and external inspection data is in favor of studying the impact of external environment on the safe operation of pipeline, further to improve the integrity assessment system. (8 Figures, 2 Tables, 29 References)

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相似文献/References:

[1]刘海鹏,谷思昱,刘庆亮,等.基于机器学习算法的管道内外检测数据对齐方法[J].油气储运,2021,40(11):1236.[doi:10.6047/j.issn.1000-8241.2021.11.005]
　LIU Haipeng,GU Siyu,LIU Qingliang,et al.Alignment method of internal and external pipeline inspection data based on machine learning algorithm[J].Oil & Gas Storage and Transportation,2021,40(02):1236.[doi:10.6047/j.issn.1000-8241.2021.11.005]

备注/Memo

祝明，女，1989年生，工程师，2015年硕士毕业于西南石油大学油气田材料与应用专业，现主要从事管道完整性评价技术的研究工作。地址：河北省廊坊市广阳区爱民东道166号， 065000。电话：0316-2071456。Email：zhuming_wzx@163.com
基金项目：中国石油集团工程股份有限公司科学研究与技术开发项目“油气管道监控与大数据综合分析云平台研究与开发”， 2017ZYGC-09-03。
（收稿日期：2020-05-21；修回日期：2021-12-14；编辑：王雪莉）

更新日期/Last Update: 2022-02-25