Article(id=1156999966251110859, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1156999961176003006, articleNumber=null, orderNo=null, doi=10.3981/j.issn.2097-0781.2024.02.012, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1705161600000, receivedDateStr=2024-01-14, revisedDate=1711555200000, revisedDateStr=2024-03-28, acceptedDate=null, acceptedDateStr=null, onlineDate=1753779887974, onlineDateStr=2025-07-29, pubDate=1718812800000, pubDateStr=2024-06-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1719331200000, onlineIssueDateStr=2024-06-26, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1753779887974, creator=13701087609, updateTime=1774072551146, updator=sys-migrate, issue=Issue{id=1156999961176003006, tenantId=1146029695717560320, journalId=1146032081894723586, year='2024', volume='3', issue='2', pageStart='4', pageEnd='135', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=1, createTime=1753779886763, creator=13701087609, updateTime=1776075083414, updator=13041195026, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1250512793758286357, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1156999961176003006, language=EN, specialIssueTitle=Special Issue on Pipeline Transportation Engineering Science and Technology, coverIllustrator=, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1250512793758286358, tenantId=1146029695717560320, journalId=1146032081894723586, issueId=1156999961176003006, language=CN, specialIssueTitle=管道运输工程科学与技术专刊, coverIllustrator=, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=121, endPage=132, ext={EN=ArticleExt(id=1156999967165469133, articleId=1156999966251110859, tenantId=1146029695717560320, journalId=1146032081894723586, language=EN, title=Challenges and Prospects of Pipeline Flow Measurement Technologies, columnId=1149656489310208610, journalTitle=Science and Technology Foresight, columnName=Review and Commentary, runingTitle=null, highlight=null, articleAbstract=

Accurate flow metering in pipelines is not only the premise of logistics handover but also an important factor in measuring a country’s scientific and technological level. This article summarized the classification of single-phase flow metering technology and the progress of energy metering. The characteristics and technical limitations of three multi-phase flow metering methods:Gas-liquid separation metering, gas-liquid mixed-phase metering, and gas-liquid sampling metering were clarified. And the principle, characteristics, implementation methods and limitations of virtual metering were described. It is believed that traditional single-phase flow metering technology has reached a significant level of maturity. However, it still faces various key technologies and challenges, including flow metering technology for extreme parameters and complex environments, multi-phase flow metering technology for oil, gas, and water under phase change conditions, bulk crude oil trade and handover metering system, complex slurry flow metering technology, and pipeline flow value traceability. In response to the metering requirements for new pipeline business forms and scenarios, the following suggestions were put forward: Strengthening the research and development of multiphase flow meters for new business forms and scenarios and establishing multi-phase metering standards; constructing a pipeline flow value traceability system to rapidly calibrate flow meters; accelerating the research and development of models driven by data and mechanisms and promoting the large-scale application of virtual metering; building a unified and open pipeline data sharing center to advance the in-depth utilization of metering data resources.

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对管道运输流体流量进行精确计量是物流交接的前提和基础,也是衡量一个国家科技水平的重要因素。文章总结了单相管道流量计量技术分类以及能量计量发展现状,分析了气液分离计量、气液混相计量、气液分流取样计量3种多相管道流量计量方式特点及技术局限,阐述了虚拟计量的原理、特点、实现方式及局限。认为传统的单相管道流量测量技术已日趋成熟,当前面临的关键技术与挑战为:极端参数和复杂环境下流量计量技术、相变工况油气水多相管道流量计量技术、大宗原油贸易交接计量体系、复杂浆体流量计量技术和管道流量量值溯源。针对管道新业态、新场景对计量的要求,提出如下建议:加大新业态、新场景多相流量计研发力度,制定多相管道流量计量规范;建设管道流量量子溯源系统,实现流量计量仪表快速校准;加快数据和机理联合驱动模型研发,推动虚拟计量规模化应用;建设管道流量量子溯源系统,实现流量计量仪表快速校准;建立统一开放的管道数据共享中心,推进计量数据资源深度利用。

, correspAuthors=梁法春, authorNote=null, correspAuthorsNote=
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梁法春,教授,博士研究生导师。江苏省高层次创新创业人才引进计划入选者。主要从事油气安全高效集输技术、油气多相计量技术、储运大数据与人工智能方向研究。主持国家重点研发计划、国家自然科学基金等多项。获教育部高等学校科学研究优秀成果奖(科学技术)科学技术进步奖二等奖等省部级奖励8项。出版专著2部,发表论文100余篇,授权发明专利30余件。电子信箱:

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梁法春,教授,博士研究生导师。江苏省高层次创新创业人才引进计划入选者。主要从事油气安全高效集输技术、油气多相计量技术、储运大数据与人工智能方向研究。主持国家重点研发计划、国家自然科学基金等多项。获教育部高等学校科学研究优秀成果奖(科学技术)科学技术进步奖二等奖等省部级奖励8项。出版专著2部,发表论文100余篇,授权发明专利30余件。电子信箱:

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梁法春,教授,博士研究生导师。江苏省高层次创新创业人才引进计划入选者。主要从事油气安全高效集输技术、油气多相计量技术、储运大数据与人工智能方向研究。主持国家重点研发计划、国家自然科学基金等多项。获教育部高等学校科学研究优秀成果奖(科学技术)科学技术进步奖二等奖等省部级奖励8项。出版专著2部,发表论文100余篇,授权发明专利30余件。电子信箱:

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College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China), AuthorCompanyExt(id=1242113577709011361, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, companyId=1242113577692234143, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.中国石油大学(华东)储运与建筑工程学院,青岛 266580)])])], keywords=[Keyword(id=1242113579038605762, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=EN, orderNo=1, keyword=pipeline), Keyword(id=1242113579097326019, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=EN, orderNo=2, keyword=energy metering), Keyword(id=1242113579160240580, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=EN, orderNo=3, keyword=multi-phase metering), Keyword(id=1242113579231543750, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=EN, orderNo=4, keyword=virtual metering), Keyword(id=1242113579290264009, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=EN, orderNo=5, keyword=flow value traceability), Keyword(id=1242113579357372874, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=EN, orderNo=6, keyword=metering management), Keyword(id=1242113580837962188, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=CN, orderNo=1, keyword=管道), Keyword(id=1242113580976374222, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=CN, orderNo=2, keyword=能量计量), Keyword(id=1242113581056066000, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=CN, orderNo=3, keyword=多相计量), Keyword(id=1242113581118980561, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=CN, orderNo=4, keyword=虚拟计量), Keyword(id=1242113581198672338, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=CN, orderNo=5, keyword=量值溯源), Keyword(id=1242113581274169811, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, language=CN, orderNo=6, keyword=计量管理)], refs=[Reference(id=1242113582008173031, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2021, volume=41, issue=8, pageStart=186, pageEnd=193, url=null, language=null, rfNumber=[1], rfOrder=0, authorNames=黄维和, 段继芹, 常宏岗, journalName=天然气工业, refType=null, unstructuredReference=黄维和, 段继芹, 常宏岗, . 中国天然气能量计量体系建设探讨[J]. 天然气工业, 2021, 41(8): 186-193., articleTitle=中国天然气能量计量体系建设探讨, refAbstract=null), Reference(id=1242113582075281901, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2021, volume=41, issue=8, pageStart=186, pageEnd=193, url=null, language=null, rfNumber=[1], rfOrder=1, authorNames=Huang W H, Duan J Q, Chang H G, journalName=Natural Gas Industry, refType=null, unstructuredReference=Huang W H, Duan J Q, Chang H G, et al. Construction of natural gas energy-metering system in China: A discussion[J]. Natural Gas Industry, 2021, 41(8): 186-193. (in Chinese), articleTitle=Construction of natural gas energy-metering system in China: A discussion, refAbstract=null), Reference(id=1242113582167556594, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2023, volume=null, issue=4, pageStart=22, pageEnd=25, url=null, language=null, rfNumber=[2], rfOrder=2, authorNames=魏文强, 李吉斌, 贾玲玲, journalName=中国计量, refType=null, unstructuredReference=魏文强, 李吉斌, 贾玲玲. 国内外天然气能量计量政策研究[J]. 中国计量, 2023(4): 22-25., articleTitle=国内外天然气能量计量政策研究, refAbstract=null), Reference(id=1242113582238859766, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2023, volume=null, issue=4, pageStart=22, pageEnd=25, url=null, language=null, rfNumber=[2], rfOrder=3, authorNames=Wei W Q, Li J B, Jia L L, journalName=China Metrology, refType=null, unstructuredReference=Wei W Q, Li J B, Jia L L. Research on natural gas energy metering policies at home and abroad[J]. China Metrology, 2023(4): 22-25. (in Chinese), articleTitle=Research on natural gas energy metering policies at home and abroad, refAbstract=null), Reference(id=1242113582297580025, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2024, volume=68, issue=1, pageStart=3, pageEnd=9, url=null, language=null, rfNumber=[3], rfOrder=4, authorNames=成伟, 杨添波, 李长武, journalName=计量科学与技术, refType=null, unstructuredReference=成伟, 杨添波, 李长武, . 多气源格局下天然气计量体系国内外进展[J]. 计量科学与技术, 2024, 68(1): 3-9, 75., articleTitle=多气源格局下天然气计量体系国内外进展, refAbstract=null), Reference(id=1242113582356300283, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2024, volume=68, issue=1, pageStart=3, pageEnd=9, url=null, language=null, rfNumber=[3], rfOrder=5, authorNames=Cheng W, Yang T B, Li C W, journalName=Metrology Science and Technology, refType=null, unstructuredReference=Cheng W, Yang T B, Li C W, et al. Advancements in the natural gas measurement system under a multi-source scenario: A domestic and international perspective[J]. Metrology Science and Technology, 2024, 68(1): 3-9, 75. (in Chinese), articleTitle=Advancements in the natural gas measurement system under a multi-source scenario: A domestic and international perspective, refAbstract=null), Reference(id=1242113582427603455, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2021, volume=26, issue=11, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[4], rfOrder=6, authorNames=Tromp R, Cerioni L M C, journalName=Molecules, refType=null, unstructuredReference=Tromp R, Cerioni L M C. Multiphase flow regime characterization and liquid flow measurement using low-field magnetic resonance imaging[J]. Molecules, 2021, 26(11), doi: 10.3390/molecules26113349., articleTitle=Multiphase flow regime characterization and liquid flow measurement using low-field magnetic resonance imaging, refAbstract=null), Reference(id=1242113582498906627, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2009, volume=54, issue=null, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[5], rfOrder=7, authorNames=Falcone G, journalName=Developments in Petroleum Science, refType=null, unstructuredReference=Falcone G. Key multiphase flow metering techniques[J]. Developments in Petroleum Science, 2009, 54, doi: 10.1016/S0376-7361(09)05404-1., articleTitle=Key multiphase flow metering techniques, refAbstract=null), Reference(id=1242113582578598406, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2021, volume=143, issue=9, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[6], rfOrder=8, authorNames=Kolla S S, Mohan R S, Shoham O, journalName=Journal of Energy Resources Technology, refType=null, unstructuredReference=Kolla S S, Mohan R S, Shoham O. Numerical analysis of flow behavior in gas-liquid cylindrical cyclone (GLCC©) separators with inlet design modifications[J]. Journal of Energy Resources Technology, 2021, 143(9), doi: 10.1115/1.4051423., articleTitle=Numerical analysis of flow behavior in gas-liquid cylindrical cyclone (GLCC©) separators with inlet design modifications, refAbstract=null), Reference(id=1242113582666678793, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=10.2478/nuka-2019-0003, pmid=null, pmcid=null, year=2019, volume=64, issue=1, pageStart=19, pageEnd=29, url=null, language=null, rfNumber=[7], rfOrder=9, authorNames=Khayat O, Afarideh H, journalName=Nukleonika, refType=null, unstructuredReference=Khayat O, Afarideh H. Design and simulation of a multienergy gamma ray absorptiometry system for multiphase flow metering with accurate void fraction and water-liquid ratio approximation[J]. Nukleonika, 2019, 64(1): 19-29., articleTitle=Design and simulation of a multienergy gamma ray absorptiometry system for multiphase flow metering with accurate void fraction and water-liquid ratio approximation, refAbstract=Multiphase flow meters are used to measure the water-liquid ratio (WLR) and void fraction in a multiphase fluid stream pipeline. In the present study, a system of multiphase flow measurement has been designed by application of three thallium-doped sodium iodide scintillators and a radioactive source of Ba-1(33) simulated by Monte Carlo N-particle (MCNP) transport code. In order to capture radiations passing across the pipe, two direct detectors have been installed on opposite sides of the radioactive source. Another detector has been placed perpendicular to the transmission beam emitted from the Ba-1(33) source to receive radiations scattered from the fluid flow. Simulation was done by the MCNP code for different volumetric fractions of water, oil, and gas phases for two types of flow regimes, namely, homogeneous and annular; training and validation data have been provided for the artificial neural network (ANN) to develop a computation model for pattern recognition. Depending on applications of the neural system, several structures of ANNs are used in the current paper to model the flow measurement relations, while the detector outputs are considered as the input parameters of the neural networks. The first, second, and third structures benefit from two, three, and five multilayer perceptron neural networks, respectively. Increasing the number of ANNs makes the system more complicated and decreases the available data; however, it increases the accuracy of estimation of WLR and gas void fraction. According to the results, the maximum relative difference was observed in the scattering detector. It was clear that transmission detectors would demonstrate the difference between the flow regimes as well. It is necessary to note that the error calculated by the MCNP simulator is <0.5% for the direct detectors (TR1 and TR2). Due to the difference between the data of the two flow regimes and the errors of data in the simulation codes of the MCNP, it was possible to separate these flow regimes. The effect of changing WLR on the efficiency for a constant void fraction confirms a considerable variance in the results of annular and homogeneous flows occurring in the scattering detector. There is a similar trend for the void fraction; hence, one can easily distinguish changes in efficiency due to the WLR. Analysis of the simulation results revealed that in the proposed structure of the multiphase flow meter and the computation model used for simulation, the two flow regimes are simply distinguishable.), Reference(id=1242113582737981962, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2019, volume=100, issue=null, pageStart=319, pageEnd=327, url=null, language=null, rfNumber=[8], rfOrder=10, authorNames=Pan Y Z, Li C, Ma Y G, journalName=Experimental Thermal and Fluid Science, refType=null, unstructuredReference=Pan Y Z, Li C, Ma Y G, et al. Gas flow rate measurement in low-quality multiphase flows using Venturi and gamma ray[J]. Experimental Thermal and Fluid Science, 2019, 100: 319-327., articleTitle=Gas flow rate measurement in low-quality multiphase flows using Venturi and gamma ray, refAbstract=null), Reference(id=1242113582800896523, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2021, volume=45, issue=1, pageStart=167, pageEnd=174, url=null, language=null, rfNumber=[9], rfOrder=11, authorNames=梁法春, 陈婧, 陈俊文, journalName=中国石油大学学报(自然科学版), refType=null, unstructuredReference=梁法春, 陈婧, 陈俊文, . 插拔式变比例均匀取样器及气液两相流量计量[J]. 中国石油大学学报(自然科学版), 2021, 45(1): 167-174., articleTitle=插拔式变比例均匀取样器及气液两相流量计量, refAbstract=null), Reference(id=1242113582855422477, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2021, volume=45, issue=1, pageStart=167, pageEnd=174, url=null, language=null, rfNumber=[9], rfOrder=12, authorNames=Liang F C, Chen J, Chen J W, journalName=Journal of China University of Petroleum (Edition of Natural Science), refType=null, unstructuredReference=Liang F C, Chen J, Chen J W, et al. Equal sampling at various extraction ratios with plug type sampler and its application in gas-liquid two-phase flow rate metering[J]. Journal of China University of Petroleum (Edition of Natural Science), 2021, 45(1): 167-174. (in Chinese), articleTitle=Equal sampling at various extraction ratios with plug type sampler and its application in gas-liquid two-phase flow rate metering, refAbstract=null), Reference(id=1242113582905754129, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2012, volume=40, issue=null, pageStart=113, pageEnd=125, url=null, language=null, rfNumber=[10], rfOrder=13, authorNames=Wang D, Liang F C, Peng Z Q, journalName=International Journal of Multiphase Flow, refType=null, unstructuredReference=Wang D, Liang F C, Peng Z Q, et al. Gas-liquid two-phase flow measurements by full stream batch sampling[J]. 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Houston: OTC, 1995, doi: 10.4043/7750-MS., articleTitle=A cost effective technique for production well testing, refAbstract=null), Reference(id=1242113583186772518, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2018, volume=null, issue=5, pageStart=73, pageEnd=76, url=null, language=null, rfNumber=[14], rfOrder=17, authorNames=韦宏, journalName=中国计量, refType=null, unstructuredReference=韦宏. 基于神经网络的虚拟计量系统[J]. 中国计量, 2018(5): 73-76., articleTitle=基于神经网络的虚拟计量系统, refAbstract=null), Reference(id=1242113583249687085, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2018, volume=null, issue=5, pageStart=73, pageEnd=76, url=null, language=null, rfNumber=[14], rfOrder=18, authorNames=Wei H, journalName=China Metrology, refType=null, unstructuredReference=Wei H. Neural network-based virtual metering system[J]. China Metrology, 2018(5): 73-76. (in Chinese), articleTitle=Neural network-based virtual metering system, refAbstract=null), Reference(id=1242113583316795952, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2022, volume=15, issue=10, pageStart=null, pageEnd=null, url=null, language=null, rfNumber=[15], rfOrder=19, authorNames=Mahajan D, Tan K, Venkatesh T, journalName=Energies, refType=null, unstructuredReference=Mahajan D, Tan K, Venkatesh T, et al. Hydrogen blending in gas pipeline networks—A review[J]. Energies, 2022, 15(10), doi: 10.3390/en15103582., articleTitle=Hydrogen blending in gas pipeline networks—A review, refAbstract=null), Reference(id=1242113583375516209, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2023, volume=47, issue=2, pageStart=123, pageEnd=128, url=null, language=null, rfNumber=[16], rfOrder=20, authorNames=袁子云, 刘刚, 陈雷, journalName=中国石油大学学报(自然科学版), refType=null, unstructuredReference=袁子云, 刘刚, 陈雷, . 融合机制与高斯混合回归算法的成品油管道顺序输送混油长度预测模型[J]. 中国石油大学学报(自然科学版), 2023, 47(2): 123-128., articleTitle=融合机制与高斯混合回归算法的成品油管道顺序输送混油长度预测模型, refAbstract=null), Reference(id=1242113583505539642, tenantId=1146029695717560320, journalId=1146032081894723586, articleId=1156999966251110859, doi=null, pmid=null, pmcid=null, year=2023, volume=47, issue=2, pageStart=123, pageEnd=128, url=null, language=null, rfNumber=[16], rfOrder=21, authorNames=Yuan Z Y, Liu G, Chen L, journalName=Journal of China University of Petroleum (Edition of Natural Science), refType=null, unstructuredReference=Yuan Z Y, Liu G, Chen L, et al. Predictive model of mixed oil length for sequential transportation of multi-product pipeline by combining mechanism and Gaussian mixture regression algorithm[J]. Journal of China University of Petroleum (Edition of Natural Science), 2023, 47(2): 123-128. 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Challenges and Prospects of Pipeline Flow Measurement Technologies
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Fachun LIANG 1, , Xiaoyu LIANG 2 , Ligong GUO 3 , Manqing JIN 1 , Jing CHEN 1
Science and Technology Foresight | Review and Commentary 2024,3(2): 121-132
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Science and Technology Foresight | Review and Commentary 2024, 3(2): 121-132
Challenges and Prospects of Pipeline Flow Measurement Technologies
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Fachun LIANG1, , Xiaoyu LIANG2, Ligong GUO3, Manqing JIN1, Jing CHEN1
Authors
  • 1. College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
  • 2. Zhejiang Provincial Key Laboratory for Flow Measurement Technology, College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China
  • 3. National Institute of Metrology, Beijing 102200, China

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Challenges and Prospects of Pipeline Flow Measurement Technologies
Fachun LIANG1, , Xiaoyu LIANG2, Ligong GUO3, Manqing JIN1, Jing CHEN1
Affiliations
  • 1. College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
  • 2. Zhejiang Provincial Key Laboratory for Flow Measurement Technology, College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China
  • 3. National Institute of Metrology, Beijing 102200, China
Published: 2024-06-20 doi: 10.3981/j.issn.2097-0781.2024.02.012
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Accurate flow metering in pipelines is not only the premise of logistics handover but also an important factor in measuring a country’s scientific and technological level. This article summarized the classification of single-phase flow metering technology and the progress of energy metering. The characteristics and technical limitations of three multi-phase flow metering methods:Gas-liquid separation metering, gas-liquid mixed-phase metering, and gas-liquid sampling metering were clarified. And the principle, characteristics, implementation methods and limitations of virtual metering were described. It is believed that traditional single-phase flow metering technology has reached a significant level of maturity. However, it still faces various key technologies and challenges, including flow metering technology for extreme parameters and complex environments, multi-phase flow metering technology for oil, gas, and water under phase change conditions, bulk crude oil trade and handover metering system, complex slurry flow metering technology, and pipeline flow value traceability. In response to the metering requirements for new pipeline business forms and scenarios, the following suggestions were put forward: Strengthening the research and development of multiphase flow meters for new business forms and scenarios and establishing multi-phase metering standards; constructing a pipeline flow value traceability system to rapidly calibrate flow meters; accelerating the research and development of models driven by data and mechanisms and promoting the large-scale application of virtual metering; building a unified and open pipeline data sharing center to advance the in-depth utilization of metering data resources.

pipeline  /  energy metering  /  multi-phase metering  /  virtual metering  /  flow value traceability  /  metering management

Accurate flow metering in pipelines is not only the premise of logistics handover but also an important factor in measuring a country’s scientific and technological level. This article summarized the classification of single-phase flow metering technology and the progress of energy metering. The characteristics and technical limitations of three multi-phase flow metering methods:Gas-liquid separation metering, gas-liquid mixed-phase metering, and gas-liquid sampling metering were clarified. And the principle, characteristics, implementation methods and limitations of virtual metering were described. It is believed that traditional single-phase flow metering technology has reached a significant level of maturity. However, it still faces various key technologies and challenges, including flow metering technology for extreme parameters and complex environments, multi-phase flow metering technology for oil, gas, and water under phase change conditions, bulk crude oil trade and handover metering system, complex slurry flow metering technology, and pipeline flow value traceability. In response to the metering requirements for new pipeline business forms and scenarios, the following suggestions were put forward: Strengthening the research and development of multiphase flow meters for new business forms and scenarios and establishing multi-phase metering standards; constructing a pipeline flow value traceability system to rapidly calibrate flow meters; accelerating the research and development of models driven by data and mechanisms and promoting the large-scale application of virtual metering; building a unified and open pipeline data sharing center to advance the in-depth utilization of metering data resources.

pipeline  /  energy metering  /  multi-phase metering  /  virtual metering  /  flow value traceability  /  metering management
梁法春, 梁晓瑜, 郭立功, 金曼青, 陈婧. 管道流量计量技术挑战与展望[J]. 前瞻科技, 2024 , 3 (2) : 4 -135 . DOI: 10.3981/j.issn.2097-0781.2024.02.012
Fachun LIANG, Xiaoyu LIANG, Ligong GUO, Manqing JIN, Jing CHEN. Challenges and Prospects of Pipeline Flow Measurement Technologies[J]. Science and Technology Foresight, 2024 , 3 (2) : 4 -135 . DOI: 10.3981/j.issn.2097-0781.2024.02.012
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doi: 10.3981/j.issn.2097-0781.2024.02.012
  • Received:2024-01-14
  • Published:2024-06-20
  • Release:2024-06-26
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  • 收稿日期:2024-01-14
  • 修回日期:2024-03-28
基金
国家自然科学基金(52176165)
山东省自然科学基金(ZR2021ME034)
Authors
    1. College of Pipeline and Civil Engineering, China University of Petroleum (East China), Qingdao 266580, China
    2. Zhejiang Provincial Key Laboratory for Flow Measurement Technology, College of Energy Environment and Safety Engineering, China Jiliang University, Hangzhou 310018, China
    3. National Institute of Metrology, Beijing 102200, China

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梁法春, 梁晓瑜, 郭立功, 金曼青, 陈婧. 管道流量计量技术挑战与展望[J]. 前瞻科技, 2024 , 3 (2) : 4 -135 . DOI: 10.3981/j.issn.2097-0781.2024.02.012
Fachun LIANG, Xiaoyu LIANG, Ligong GUO, Manqing JIN, Jing CHEN. Challenges and Prospects of Pipeline Flow Measurement Technologies[J]. Science and Technology Foresight, 2024 , 3 (2) : 4 -135 . DOI: 10.3981/j.issn.2097-0781.2024.02.012
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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