基于漏磁内检测与分级理念的管道完整性评价

doi:10.16265/j.cnki.issn1003-3033.2017.01.030

中国安全科学学报 ›› 2017, Vol. 27 ›› Issue (1): 169-174.doi: 10.16265/j.cnki.issn1003-3033.2017.01.030

• 公共安全 • 上一篇

基于漏磁内检测与分级理念的管道完整性评价

于洋, 刘德俊副教授, 孙东旭

辽宁石油化工大学石油天然气工程学院,辽宁抚顺 113001

收稿日期:2016-10-20 修回日期:2016-12-18 发布日期:2020-11-23
通讯作者: 刘德俊(1967—),男,辽宁昌图人,硕士,副教授,主要从事油气管道完整性管理方向研究。E-mail:ldj8448@163.com。
作者简介:于洋 (1991—),女,辽宁营口人,硕士研究生, 研究方向为油气管道完整性管理。E-mail: 1017431332@qq.com。
刘德俊 (1967—),男,辽宁昌图人,硕士,副教授,主要从事油气管道完整性管理方向研究。E-mail:ldj8448@163. com。

Pipeline integrity assessment based on combining magnetic flux leakage detection with grading evaluation

YU Yang, LIU Dejun, SUN Dongxu

College of Petroleum Engineering, Liaoning Shihua University, Fushun Liaoning 113001, China

Received:2016-10-20 Revised:2016-12-18 Published:2020-11-23

摘要/Abstract

摘要： 为保证埋地油气管道的安全运行,结合漏磁内检测技术与分级评价理念,建立管道完整性评价模型。首先,根据管道风险评价及高后果区评价结果,选择待评价管段,经过清管、投放检测器、检测数据分析和检测结果验证等环节,获取可靠的检测数据。然后,将检测数据作为管道剩余强度评价的数据源,由低级评价方程到高级有限元分析,逐级对管体缺陷进行评价。最后,应用所建模型对国内某成品油管道的一个管段进行完整性评价。结果表明,漏磁内检测与分级评价能够实现良好的数据对接,检测出的缺陷目前均处于安全状态。

关键词: 油气管道, 完整性评价, 漏磁内检测, 分级评价, 有限元分析

Abstract: To ensure the safe operation of buried oil and gas pipelines, a pipeline integrity assessment model was built based on combination of the technology of magnetic flux leakage detection and grading evaluation. Then the specific implementation process of the model was discussed in detail. The model was divided into two stages, a detection stage and an evaluation stage. The former included selecting the pipe segment to be evaluated according to the pipeline risk assessment and high consequence area evaluation results, pigging, launching detector, detection data analysis and testing results verification. The latter included three levels of evaluation methods. Evaluation equation was taken as the lowest level of evaluation and the finite element analysis method was used as the highest level evaluation method. The detection data obtained by the detection stage was transmitted to the evaluation stage in this model. The model was used to assess the integrity of a certain products pipeline in China. The results show that the model is suitable for data transmission and all defects detected are in a safe state.

Key words: pipeline, integrity assessment, magnetic flux leakage detection, grading evaluation, finite element analysis

中图分类号:

X924.3

于洋, 刘德俊, 孙东旭. 基于漏磁内检测与分级理念的管道完整性评价[J]. 中国安全科学学报, 2017, 27(1): 169-174.

YU Yang, LIU Dejun, SUN Dongxu. Pipeline integrity assessment based on combining magnetic flux leakage detection with grading evaluation[J]. China Safety Science Journal, 2017, 27(1): 169-174.

参考文献

[1] 林伟国, 王晓东. 管道泄漏信号和干扰信号的数字化判别方法[J].石油学报, 2014, 35(6): 1 197-1 203.
LIN Weiguo, WANG Xiaodong. Digital identification method for pipeline leak and interference signal[J]. Acta Petrolei Sinica,2014, 35(6): 1 197-1 203.
[2] 单克,帅健,张思弘. 基于修正因子的油气管道失效概率评估[J]. 中国安全科学学报,2016, 26(1):87-93.
SHAN Ke, SHUAI Jian, ZHANG Sihong. Adjustment factors based assessment of oil and gas pipelines failure probability[J]. China Safety Science Journal, 2016, 26(1):87-93.
[3] 严大凡, 翁永基, 董邵华. 油气长输管道风险评价与完整性评价[M]. 北京: 化学工业出版社, 2005:18.
YAN Dafan, WENG Yongji, DONG Shaohua. Risk assessment and integrity assessment of long distance oil and gas pipelines[M]. Beijing: Chemical Industry Press, 2005:18.
[4] 谭文捷, 郭惠. 油气管道腐蚀检测技术研究与应用[J].山东化工, 2015, 44(2): 98-100.
TAN Wenjie, GUO Hui. Research and application of corrosion detection technology in oil and gas pipelines[J]. Shandong Chemical Industry, 2015, 44(2): 98-100.
[5] ANSI/ASME B31G-2009, Manual for determining the remaining strength of corroded pipelines[S].
[6] API 579(2007), Recommended practice for fitness-for-service[S].
[7] SY/T 6151—2009, 钢质管道管体腐蚀损伤评价方法[S].
SY/T 6165-2009, Assessment of corroded steel pipeline[S].
[8] DNV RP-F101, Recommended practice RP-F101 corroded pipelines[S]. 2004.
[9] BS 7910-1999, Guide on methods for assessing the acceptability of flaw s in metallic structures[S].
[10] 姜晓红,洪险峰,刘争,等. 管道内检测数据对比对完整性评价的影响[J]. 油气储运,2016,35(1):28-31.
JIANG Xiaohong, HONG Xianfeng, LIU Zheng, et al. Impacts of inline inspection data comparison on integrity assessment of pipelines[J]. Oil & Gas Storage and Transportation, 2016, 35(1): 28-31.
[11] 帅健,张春娥,陈福来. 非线性有限元法用于腐蚀管道失效压力预测[J]. 石油学报,2008,29(6):933-937.
SHUAI Jian, ZHAN Chun'e, CHEN Fulai. Prediction of failure pressure in corroded pipelines based on non-linear finite element analysis[J]. Acta Petrolei Sinica,2008, 29(6): 933-937.
[12] FU Bin,KIRKWOOD Mike G . Predicting failure pressure of internally corroded pipeline using the finite element method[C]. International Conference of Mechanic Arctic Engineering, 1995:175-184.
[13] 蔡文军,陈国明,潘东民. 腐蚀管线剩余强度的非线性分析[J]. 石油大学学报:自然科学版,1999, 23(1):66-68.
CAI Wenjun, CHEN Guoming, PAN Dongmin. Nonlinear analysis on residual strength of corroded pipeline[J]. Journal of China University of Petroleum:Edition of Natural Science, 1999, 23(1):66-68.
[14] CRONIN D S, ANDREW R K, PICK R J. Assessment of long corrosion grooves in line pipe[C]. ASME. Proceedings of the 1^stInternational Pipeline Conference,1996:401-408.
[15] 钱成文, 刘广文, 高颖涛, 等. 管道的完整性评价技术[J]. 油气储运, 2000, 19(7):11-15.
QIAN Chengwen, LIU Guangwen, GAO Yingtao, et al. Integrity assessment technology of pipeline[J]. Oil & Gas Storage and Transportation, 2000, 19(7):11-15.
[16] 周燕, 董怀荣, 周志刚, 等. 油气管道内检测技术的发展[J]. 石油机械, 2011, 39(3):74-77.
ZHOU Yan, DONG Huairong, ZHOU Zhigang, et al. The development of detection technology in oil and gas pipeline[J]. China Petroleum Machinery, 2011, 39(3): 74-77.
[17] GB 32167—2015, 油气输送管道完整性管理规范[S].
GB 32167-2015, Oil and gas pipeline integrity management specification[S].
[18] 王晓霖,帅健,宋红波,等. 输油管道高后果区识别与分级管理[J]. 中国安全科学学报, 2015, 25(6): 149-154.
WANG Xiaolin, SHUAI Jian, SONG Hongbo, et al. Identification and hierarchical management of high consequence areas for oil pipeline[J]. China Safety Science Journal, 2015, 25(6):149-154.
[19] KIEFNER J F, VIETH P H. A modified criterion for evaluating the remaining strength of corroded pipe[J]. Materialsence, 1989, 30(5):32-39.
[20] KIEFNER J F, VIETH P H. New method corrects criterion for evaluating corroded pipe[J]. Oil & Gas Journal, 1990, 88(32):56-59.
[21] 孙东旭, 吴明, 谢飞, 等. 油气管道盗孔接管修复结构强度分析[J]. 中国安全生产科学技术, 2015,11(7):18-22.
SUN Dongxu, WU Ming, XIE Fei, et al. Analysis on strength of nozzle repair structure for oil and gas pipeline with drilled hole[J]. Journal of Safety Science and Technology, 2015,11(7):18-22.

基于漏磁内检测与分级理念的管道完整性评价

Pipeline integrity assessment based on combining magnetic flux leakage detection with grading evaluation

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