基于大数据的全生命周期智能管网解决方案
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摘要
智能管网可以解决当前系统繁多及数据采集与应用脱节的问题,实现油气管道安全、高效、可持续发展。全面阐述了国内外数字化管道、智能管网的实施进展,分析了智能管网发展的特点、难点以及存在的问题,研究建立了管道全生命周期数据标准,构建了管道全生命周期数据库。提出了全生命周期智能管网的设计架构,包括管道全生命周期资产设施管控、运行管理控制、决策支持3个方面。提出了基于GIS的智能化管理平台方案,搭建了管道建设与运维一体化智能管理平台,一是用于建设期施工数据采集、数字化数据库移交、施工质量可视化管理;二是用于运营期腐蚀防护电位控制,在线完整性评估,高后果区、地区等级升级地区的风险评估,以及无人机巡线等完整性管理循环;三是用于管网的决策支持,包括大数据建模、应急决策支持、焊缝大数据风险识别、基于物联网的灾害监测预警、管道泄漏实时监测、远程设备维护培训、远程故障隐患可视化巡检、移动应用等。智能管网的推广应用,有利于管道管理水平的提升,为决策者提供足够的信息,从而保障管道安全、高效运营。
There are various pipeline systems and data collection is out of step with data application. By virtue of intelligent pipeline network, these problems can be solved to maintain safe, efficient and sustainable development of oil and gas pipelines. In this paper, the implementation progress of digitized pipelines and intelligent pipeline networks all over the world was reviewed. The characteristics, difficulties and problems involved in the development of the intelligent pipeline networks were analyzed. The full-life-cycle pipeline data standard was established and the full-life-cycle pipeline database was created. The design framework of full-life-cycle intelligent pipeline network was put forward, including asset and facility management, operation management & control, and decision support. The GIS-based intelligent management platform scheme was proposed. Integrated intelligent management platform of pipeline construction, operation and maintenance was built up. It can be used for three aspects. First, it is used for data acquisition, digitized database transfer and visual management of construction quality in the construction period. Second, it is employed for integrity management, including potential control for corrosion prevention, online integrity assessment, risk assessment of high consequence areas, and upgraded areas and UAV pipeline patrol in the operation period. And third, it is applied to decision support of pipeline network, including big data modeling, emergency decision support, risk identification of welding big data, disaster monitoring and pre-warning based on the Internet of Things, real-time monitoring of pipeline leakage, training on remote equipment maintenance, visual inspection of remote faults and risks and mobile application. The popularization and application of intelligent pipeline network are conducive to the improvement of pipeline management, and can provide sufficient information for decision makers and ensure the safe and efficient operation of pipeline enterprises.
There are various pipeline systems and data collection is out of step with data application. By virtue of intelligent pipeline network, these problems can be solved to maintain safe, efficient and sustainable development of oil and gas pipelines. In this paper, the implementation progress of digitized pipelines and intelligent pipeline networks all over the world was reviewed. The characteristics, difficulties and problems involved in the development of the intelligent pipeline networks were analyzed. The full-life-cycle pipeline data standard was established and the full-life-cycle pipeline database was created. The design framework of full-life-cycle intelligent pipeline network was put forward, including asset and facility management, operation management & control, and decision support. The GIS-based intelligent management platform scheme was proposed. Integrated intelligent management platform of pipeline construction, operation and maintenance was built up. It can be used for three aspects. First, it is used for data acquisition, digitized database transfer and visual management of construction quality in the construction period. Second, it is employed for integrity management, including potential control for corrosion prevention, online integrity assessment, risk assessment of high consequence areas, and upgraded areas and UAV pipeline patrol in the operation period. And third, it is applied to decision support of pipeline network, including big data modeling, emergency decision support, risk identification of welding big data, disaster monitoring and pre-warning based on the Internet of Things, real-time monitoring of pipeline leakage, training on remote equipment maintenance, visual inspection of remote faults and risks and mobile application. The popularization and application of intelligent pipeline network are conducive to the improvement of pipeline management, and can provide sufficient information for decision makers and ensure the safe and efficient operation of pipeline enterprises.
引文
[1]王良军,李强,梁菁嬿.长输管道内检测数据比对国内外现状及发展趋势[J].油气储运,2015,34(3):233-236.WANG L J,LI Q,LIANG J Y.Current status and development trend of in-line inspection data comparison of long-distance pipeline in China and abroad[J].Oil&Gas Storage and Transportation,2015,34(3):233-236.
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[13]王金柱,王泽根,段林林,等.在役管道数字化建设的数据与模型[J].油气储运,2010,29(8):571-574.WANG J Z,WANG Z G,DUAN L L,et al.Data and models for digital construction of in-service pipelines[J].Oil&Gas Storage and Transportation,2010,29(8):571-574.
[14]段玉平.施工数据采集在管道数字化建设中的作用[J].内蒙古石油化工,2013(16):70-71.DUAN Y P.The role of construction data acquisition in the digital construction of pipeline[J].Inner Mongolia Petrochemical Engineering,2013(16):70-71.
[15]唐建刚.建设期数字化管道竣工测量数据的采集[J].油气储运,2013,32(2):226-228.TANG J G.Acquisition of completion survey data for digitized pipeline during construction[J].Oil&Gas Storage and Transportation,2013,32(2):226-228.
[16]李长俊,刘恩斌,邬云龙,等.数字化管理技术在气田集输中的应用探讨[J].重庆建筑大学学报,2007,29(6):94-96.LI C J,LIU E B,WU Y L,et al.Discussion on the application of digital management technology in gas field gathering and transportation[J].Journal of Chongqing Architectural University,2007,29(6):94-96.
[17]冷建成,周国强,吴泽民,等.光纤传感技术及其在管道监测中的应用[J].无损检测,2012,34(1):61-65.LENG J C,ZHOU G Q,WU Z M,et al.Fiber optic sensing technology and its application in pipeline monitoring[J].Nondestructive Testing,2012,34(1):61-65.
[18]董绍华,王东营,费凡,等.管道地区等级升级与公共安全风险管控[J].油气储运,2014,33(11):1164-1170.DONG S H,WANG D Y,FEI F,et al.Upgrading of pipeline regions and control of public security risks[J].Oil&Gas Storage and Transportation,2014,33(11):1164-1170.
[19]董绍华.管道完整性评估理论与应用[M].北京:石油工业出版社,2014:516-519.DONG S H.Theory and application of pipeline integrity assessment[M].Beijing:Petroleum Industry Press,2014:516-519.
[20]董绍华,安宇.基于大数据的管道系统数据分析模型及应用[J].油气储运,2015,34(10):1027-1032.DONG S H,AN Y.Data analysis model for pipeline system and its application based on Big Data[J].Oil&Gas Storage and Transportation,2015,34(10):1027-1032.
[21]蒋中印,李泽亮,张永虎,等.管道焊缝数字射线DR检测技术研究[J].辽宁化工,2014,43(4):427-429.JIANG Z Y,LI Z L,ZHANG Y H,et al.Research on digital ray DR detection technology of pipeline weld[J].Liaoning Chemical Industry,2014,43(4):427-429.
[22]宫敬,董旭,陈向新,等.数字管道中的工艺与自动化系统设计[J].油气储运,2008,27(4):1-4.GONG J,DONG X,CHEN X X,et al.Process and automation system design in digital pipelines[J].Oil&Gas Storage and Transportation,2008,27(4):1-4.
[2]关中原,高辉,贾秋菊.油气管道安全管理及相关技术现状[J].油气储运,2015,34(5):457-463.GUAN Z Y,GAO H,JIAQ J.O management and its technology status[J].Oil&Gas Storage and Transportation,2015,34(5):457-463.
[3]王瑞萍,谭志强,刘虎.“数字管道”技术研究与发展概述[J].测绘与空间地理信息,2011,34(1):1-4.WANG R P,TAN Z Q,LIU H.An overview of the research and development of digital pipeline technology[J].Mapping and Spatial Geographic Information,2011,34(1):1-4.
[4]王伟涛,王海,钟鸣.数字管道技术应用现状分析与发展前景探讨[J].中国石油和化工标准与质量,2012(4):118.WANG W T,WANG H,ZHONG M.Adevelopment prospect of digital pipeline technology[J].China Petroleum and Chemical Standard and Quality,2012(4):118.
[5]李超.数字化管道技术及其在西部管道工程中的应用研究[D].重庆:重庆大学,2008:11-14.LI C.Research on digital pipeline technology and its application in the West Pipeline Engineering[D].Chongqing:Chongqing University,2008:11-14.
[6]孙晓利,文斌,妥贯民.天然气长输管道数字化建设的相关问题[J].油气储运,2010,29(8):579-581,588.SUN X L,WEN B,TUO G M.Relative problems in digitization construction of long-distance natural gas pipelines[J].Oil&Gas Storage and Transportation,2010,29(8):579-581,588.
[7]周利剑,李振宇.管道完整性数据技术发展与展望[J].油气储运,2016,35(7):691-697.ZHOU L J,LI Z Y.The development status and prospect of pipeline integrity data technologies[J].Oil&Gas Storage and Transportation,2016,35(7):691-697.
[8]董绍华.管道完整性管理技术与实践[M].北京:中国石化出版社,2015:19-31.DONG S H.Pipeline integrity management technology and practice[M].Beijing:Sinopec Press,2015:19-31.
[9]周永涛,董绍华,董秦龙,等.基于完整性管理的应急决策支持系统[J].油气储运,2015,34(12):1280-1283.ZHOU Y T,DONG S H,DONG Q L,et al.Emergency decision support system based on integrity management[J].Oil&Gas Storage and Transportation,2015,34(12):1280-1283.
[10]刘欣,田长林,张亮亮.数字化管道技术在榆林-济南长输管道中的应用[J].石油工程建设,2010,36(1):62-65.LIU X,TIAN C L,ZHANG L L.Application of digital pipeline technology in Yulin-Jinan long distance pipeline[J].Petroleum Engineering Construction,2010,36(1):62-65.
[11]薛光,袁献忠,张继亮.基于完整性管理的川气东送数字化管道系统[J].油气储运,2011,30(4):266-268.XUE G,YUAN X Z,ZHANG J L.Integrity management-based digitalization system of Sichuan Gas-to-East Transmission Pipeline[J].Oil&Gas Storage and Transportation,2011,3(04):266-268.
[12]黄玲,吴明,王卫强,等.基于Arc GIS Engine的三维长输管道信息系统构建[J].油气储运,2014,33(6):615-618.HUANG L,WU M,WANG W Q,et al.Construction of 3Dlong-distance pipeline information system based on Arc GISEngine[J].Oil&Gas Storage and Transportation,2014,33(6):615-618.
[13]王金柱,王泽根,段林林,等.在役管道数字化建设的数据与模型[J].油气储运,2010,29(8):571-574.WANG J Z,WANG Z G,DUAN L L,et al.Data and models for digital construction of in-service pipelines[J].Oil&Gas Storage and Transportation,2010,29(8):571-574.
[14]段玉平.施工数据采集在管道数字化建设中的作用[J].内蒙古石油化工,2013(16):70-71.DUAN Y P.The role of construction data acquisition in the digital construction of pipeline[J].Inner Mongolia Petrochemical Engineering,2013(16):70-71.
[15]唐建刚.建设期数字化管道竣工测量数据的采集[J].油气储运,2013,32(2):226-228.TANG J G.Acquisition of completion survey data for digitized pipeline during construction[J].Oil&Gas Storage and Transportation,2013,32(2):226-228.
[16]李长俊,刘恩斌,邬云龙,等.数字化管理技术在气田集输中的应用探讨[J].重庆建筑大学学报,2007,29(6):94-96.LI C J,LIU E B,WU Y L,et al.Discussion on the application of digital management technology in gas field gathering and transportation[J].Journal of Chongqing Architectural University,2007,29(6):94-96.
[17]冷建成,周国强,吴泽民,等.光纤传感技术及其在管道监测中的应用[J].无损检测,2012,34(1):61-65.LENG J C,ZHOU G Q,WU Z M,et al.Fiber optic sensing technology and its application in pipeline monitoring[J].Nondestructive Testing,2012,34(1):61-65.
[18]董绍华,王东营,费凡,等.管道地区等级升级与公共安全风险管控[J].油气储运,2014,33(11):1164-1170.DONG S H,WANG D Y,FEI F,et al.Upgrading of pipeline regions and control of public security risks[J].Oil&Gas Storage and Transportation,2014,33(11):1164-1170.
[19]董绍华.管道完整性评估理论与应用[M].北京:石油工业出版社,2014:516-519.DONG S H.Theory and application of pipeline integrity assessment[M].Beijing:Petroleum Industry Press,2014:516-519.
[20]董绍华,安宇.基于大数据的管道系统数据分析模型及应用[J].油气储运,2015,34(10):1027-1032.DONG S H,AN Y.Data analysis model for pipeline system and its application based on Big Data[J].Oil&Gas Storage and Transportation,2015,34(10):1027-1032.
[21]蒋中印,李泽亮,张永虎,等.管道焊缝数字射线DR检测技术研究[J].辽宁化工,2014,43(4):427-429.JIANG Z Y,LI Z L,ZHANG Y H,et al.Research on digital ray DR detection technology of pipeline weld[J].Liaoning Chemical Industry,2014,43(4):427-429.
[22]宫敬,董旭,陈向新,等.数字管道中的工艺与自动化系统设计[J].油气储运,2008,27(4):1-4.GONG J,DONG X,CHEN X X,et al.Process and automation system design in digital pipelines[J].Oil&Gas Storage and Transportation,2008,27(4):1-4.