网站版权 © 《油气储运》编辑部 陕ICP备11014090号-10
地址:河北省廊坊市金光道51号(065000);电话:0316-2176193 / 0316-2072055; 传真:0316-2177392; 网址:yqcy.paperonce.org
技术支持:西安三才科技实业有限公司 029-89381847;029-88222991
随着X80 管道的大规模应用,长输油气管道长期服役的安全性备受关注。为解决管道内表面裂纹缺陷的检测问题,针对具有非接触、高精度特点的激光超声无损检测方法开展试验研究,并将其应用于X80 管道内表面裂纹缺陷检测。通过试验测量获取了X80 管道试样无裂纹区域和有裂纹区域的激光超声信号以及激光超声B 扫描检测与成像,分析了裂纹缺陷对激光超声信号的影响。结果表明:激光超声B 扫描可以有效检测出管道内表面裂纹缺陷并精准定位,具有在管道无损检测领域推广应用的价值。(图9,参21)
As X80 pipelines are applied in large scale, the safety of long-term service of long-distance oil and gas pipelines has attracted much attention. In order to solve the problem of detecting the inner surface crack defects of pipelines, experimental research has been conducted for the laser ultrasonic nondestructive detection method characterized by noncontact and high precision, which was also applied to the inner surface crack defect detection of X80 pipelines. The laser ultrasonic signals in the areas of X80 pipeline specimen with/without cracks and the laser ultrasonic based B-scan detection and imaging were obtained through experimental measurement. Meanwhile, the influence of crack defects on laser ultrasonic signal were analyzed. The research results indicate that: the inner surface crack defects of pipelines can be detected and accurately located through the laser ultrasonic based B-scan. Hence, the laser ultrasonic based B-scan is valuable for promotion and application in the nondestructive detection of pipelines. (9 Figures, 21 References)
[1] 黄维和,郑洪龙,李明菲. 中国油气储运行业发展历程及展望[J]. 油气储运,2019,38(1):1-11. HUANG W H, ZHENG H L, LI M F. Development history and prospect of oil & gas storage and transportation industry in China[J]. Oil & Gas Storage and Transportation, 2019, 38(1): 1-11.
[2] 祝悫智,李秋扬,吴超,赵明华,张斌,张玉志,等. 2017 年全球油 气管道建设现状及发展趋势[J]. 油气储运,2019,38(4):373-378. ZHOU Q Z, LI Q Y, WU C, ZHAO M H, ZHANG B, ZHANG Y Z, et al. Construction status and development trend of global oil & gas pipelines in 2017[J]. Oil & Gas Storage and Transportation, 2019, 38(4): 373-378.
[3] 姜昌亮. 石油天然气管网资产完整性管理思考与对策[J]. 油气 储运,2021,40(5):481-491. JIANG C L. Consideration and countermeasures of asset integrity management of oil and gas pipeline networks[J]. Oil & Gas Storage and Transportation, 2021, 40(5): 481-491.
[4] 赵堂玉. 2020 年中国天然气产业链发展回顾及展望[J]. 油气储 运,2021,40(4):371-376. ZHAO T Y. Review and prospect of China’s natural gas industry chain in 2020[J]. Oil & Gas Storage and Transportation, 2021, 40(4): 371-376.
[5] 张振永. 高钢级大口径天然气管道环焊缝安全提升设计关键[J]. 油气储运,2020,39(7):740-748. ZHANG Z Y. Key factors for safety improvement design of girth weld in high-grade large diameter natural gas pipelines[J]. Oil & Gas Storage and Transportation, 2020, 39(7): 740-748.
[6] 程玉峰. 保障中俄东线天然气管道长期安全运行的若干技术思 考[J]. 油气储运,2020,39(1):1-8. CHENG Y F. Technical insights into the long-term integrity and sustainability of China-Russia Eastern Gas Pipeline[J]. Oil & Gas Storage and Transportation, 2020, 39(1): 1-8.
[7] 姬保平. 激光超声管道检测系统关键技术研究[D]. 北京:北京 石油化工学院,2016. JI B P. Research on the key technology of laser ultrasonic pipeline inspection system[D]. Beijing: Beijing Institute of Petrochemical Technology, 2016.
[8] 张元良,张洪潮,赵嘉旭,周志民,王金龙. 高端机械装备再制造 无损检测综述[J]. 机械工程学报,2013,49(7):80-90. ZHANG Y L, ZHANG H C, ZHAO J X, ZHOU Z M, WANG J L. Review of non-destructive testing for remanufacturing of high-end equipment[J]. Journal of Mechanical Engineering, 2013, 49(7): 80-90.
[9] 李育忠,郑宏丽,贾世民,刘全利,邓凯夫,张金权. 国内外油气管道 检测监测技术发展现状[J]. 石油科技论坛,2012,31(2):30-35,75. LI Y Z, ZHENG H L, JIA S M, LIU Q L, DENG K F, ZHANG J Q. Status of oil & gas pipeline inspection and monitoring both at home and abroad[J]. Petroleum Science and Technology Forum, 2012, 31(2): 30-35, 75.
[10] CHANG Y, YANG D X, GUO Y N. Laser ultrasonic damage detection in coating-substrate structure via Pearson correlation coefficient[J]. Surface and Coatings Technology, 2018, 353: 339-345.
[11] SUN G K, ZHAO L M, DONG M L, LOU X P, ZHU L Q. Noncontact characterization of debonding in lead-alloy steel bonding structure with laser ultrasound[J]. Optik, 2018, 164: 734-744.
[12] LI K S, MA Z Y, FU P, KRISHNASWAMY S. Quantitative evaluation of surface crack depth with a scanning laser source based on particle swarm optimization-neural network[J]. NDT & E International, 2018, 98: 208-214.
[13] 郭海洋,徐志祥,刘志毅,张祥春. 带涂层金属板件缺陷的激光 超声检测研究[J]. 激光与红外,2017,47(5):541-547. GUO H Y, XU Z X, LIU Z Y, ZHANG X C. Laser ultrasonic test for defects of metal plate with coating[J]. Laser & Infrared, 2017, 47(5): 541-547.
[14] 曹建树,钟君,李家政,罗振兴,张海超,王庆. 基于LabVIEW 的激光超声管道检测系统[J]. 中国测试,2017,43(10):80-85. CAO J S, ZHONG J, LI J Z, LUO Z X, ZHANG H C, WANG Q. Inspection system of pipeline by laser ultrasonic based on LabVIEW[J]. China Measurement & Testing Technology, 2017, 43(10): 80-85.
[15] 曾宪林,徐良法. 激光超声技术及其在无损检测中的应用[J]. 激光与红外,2002,32(4):224-227. ZENG X L, XU L F. Laser ultrasonic technique and its applications in non-destructive testing[J]. Laser & Infrared, 2002, 32(4): 224-227.
[16] 施德恒,陈玉科,孙金锋,朱遵略,刘玉芳. 激光超声技术及其 在无损检测中的应用概况[J]. 激光杂志,2004,25(5):1-4. SHI D H, CHEN Y K, SUN J F, ZHU Z L, LIU Y F. A review on laser ultrasonic technique and its applications in nondestructive testing[J]. Laser Journal, 2004, 25(5): 1-4.
[17] 陈清明,蔡虎,程祖海. 激光超声技术及其在无损检测中的应 用[J]. 激光与光电子学进展,2005,42(4):53-57. CHEN Q M, CAI H, CHENG Z H. Laser ultrasonic technology and its applications[J]. Laser & Optoelectronics Progress, 2005, 42(4): 53-57.
[18] 杨依光,赵锋,王飞,焦书浩. 管道壁厚及焊缝缺陷激光超声检 测技术[J]. 油气储运,2015,34(7):751-754. YANG Y G, ZHAO F, WANG F, JIAO S H. Laser ultrasonic detection technology of pipe wall thickness and weld defects[J]. Oil & Gas Storage and Transportation, 2015, 34(7): 751-754.
[19] 周正干,孙广开,李征,陈秀成. 复合材料层压板钻孔分层激光 超声检测方法[J]. 机械工程学报,2013,49(22):29-33. ZHOU Z G, SUN G K, LI Z, CHEN X C. Laser ultrasonic detection of drilling-induced delamination in composite laminates[J]. Journal of Mechanical Engineering, 2013, 49(22): 29-33.
[20] ZENG W, WANG H T, TIAN G Y, HU G X. Application of laser ultrasound imaging technology in the frequency domain based on Wigner-Ville algorithm for detecting defect[J]. Optics & Laser Technology, 2015, 74: 72-78.
[21] ZHANG K S, ZHOU Z G, ZHOU J H, SUN G K. Characteristics of laser ultrasound interaction with multi-layered dissimilar metals adhesive interface by numerical simulation[J]. Applied Surface Science, 2015, 353: 284-290.
[1]孙力,李国成,张好民,等.东辛含硫原油管道超压试验及应力检测[J].油气储运,1998,17(11):54.[doi:10.6047/j.issn.1000-8241.1998.11.017]
Sun Li,Li Guocheng.Overpressure test and stress detection to Dongxin Sour Crude Oil Pipeline[J].Oil & Gas Storage and Transportation,1998,17(12):54.[doi:10.6047/j.issn.1000-8241.1998.11.017]
[2]井一平,张招勤,周树元,等.φ273漏磁腐蚀检测器在输油管道上的应用[J].油气储运,1998,17(1):32.[doi:10.6047/j.issn.1000-8241.1998.01.011]
Jing Yiping,Li Weilin.Intelligent Pig Used in Oil Pipeline[J].Oil & Gas Storage and Transportation,1998,17(12):32.[doi:10.6047/j.issn.1000-8241.1998.01.011]
[3]约瑟夫保曼.钳式时差式超声波流量计990LD检漏系统[J].油气储运,1995,14(2):32.[doi:10.6047/j.issn.1000-8241.1995.02.014]
Joseph Baulman.990 LD Leak Detection System——Ultrasonic Flowmeter of Clam- on and Differential Pressure Type OGST,1995,14(2):32-38[J].Oil & Gas Storage and Transportation,1995,14(12):32.[doi:10.6047/j.issn.1000-8241.1995.02.014]
[4]杨理践,申晗,高松巍,等.管道内检测器低频跟踪定位方法[J].油气储运,2018,37(6):613.[doi:10.6047/j.issn.1000-8241.2018.06.003]
YANG Lijian,SHEN Han,GAO Songwei,et al.Low-frequency tracking and positioning method for pipeline internal
detector[J].Oil & Gas Storage and Transportation,2018,37(12):613.[doi:10.6047/j.issn.1000-8241.2018.06.003]
[5]杨理践 申晗 高松巍 刘斌.管道内检测器低频跟踪定位方法[J].油气储运,2018,37(预出版):1.
YANG Lijian,SHEN Han,GAO Songwei,et al.Low-frequency tracking and positioning method for pipeline internal detector[J].Oil & Gas Storage and Transportation,2018,37(12):1.
[6]王宇楠 杨亮 宋华东 刘光恒 李上青 宋云鹏 徐春风 诸海博.一种新型泡沫测径清管器的设计及仿真模拟[J].油气储运,2020,39(06):709.[doi:10.6047/j.issn.1000-8241.2020.06.017]
WANG Yunan,YANG Liang,SONG Huadong,et al.Design and simulation of a new foam gauging pig[J].Oil & Gas Storage and Transportation,2020,39(12):709.[doi:10.6047/j.issn.1000-8241.2020.06.017]
[7]郑健峰 李睿 富宽 于智博 陈朋超 赵晓明 贾光明.直径1 422 mm 管道投产前自动力内检测器研制与应用[J].油气储运,2020,39(07):827.[doi:10.6047/j.issn.1000-8241.2020.07.015]
ZHENG Jianfeng,LI Rui,FU Kuan,et al.Development and application of self-driven inner detector for D 1 422 mm pipelines before commissioning[J].Oil & Gas Storage and Transportation,2020,39(12):827.[doi:10.6047/j.issn.1000-8241.2020.07.015]
[8]陈朋超 李睿 邱红辉 赵晓明 贾光明 郑健峰 富宽.基于永磁扰动原理的管道支管专项内检测器研制与应用[J].油气储运,2020,39(12):1357.[doi:10.6047/j.issn.1000-8241.2020.12.006]
CHEN Pengchao,LI Rui,QIU Honghui,et al.Development and application of a pipeline hot-tap in-line inspection tool based on permanent magnetic perturbation[J].Oil & Gas Storage and Transportation,2020,39(12):1357.[doi:10.6047/j.issn.1000-8241.2020.12.006]
[9]曾辉,强毅,王自林,等.油气变径管道内检测器磁铁探头的设计与实现[J].油气储运,2021,40(04):446.[doi:10.6047/j.issn.1000-8241.2021.04.013]
ZENG Hui,QIANG Yi,WANG Zilin,et al.Design and implementation of magnet probe for inline detector of oil and gas multi-diameter pipeline[J].Oil & Gas Storage and Transportation,2021,40(12):446.[doi:10.6047/j.issn.1000-8241.2021.04.013]
[10]马英涵,赵弘.基于知识图谱的无人机管道检测研究现状与创新分析[J].油气储运,2024,43(09):1.
MA Yinghan,ZHAO Hong.Research status and innovation analysis of unmanned aerial vehicle pipeline detection based on knowledge graph[J].Oil & Gas Storage and Transportation,2024,43(12):1.
收稿日期:2020-03-11;修回日期:2021-09-22;编辑:韩文超
基金项目:北京市自然科学基金资助项目“管道内部缺陷激光超声检测及定量表征方法研究”,3182008。
作者简介:曹建树,男,1971 年生,教授,2014 年博士毕业于中国石油大学(北京)机械电子工程专业,现主要从事天然气长输管道无损检测及机器人技术研究工作。地址:北京市大兴区清源北路19号,102617。电话:13671325692。Email:jianshu@bipt.edu.cn