基于激光拉曼检测技术的输油管道原油鉴别方法
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摘要
为降低长距离原油输送过程中混油产生的损失,需定时检测管线原油成分以确定是否出现混油事故。常规检测输油管线原油成分需从现场管线中取样后,再进行室内检测,该类技术操作复杂且易受环境因素的影响,未能实时反映管道混油后油品成分变化。文中应用激光拉曼光谱对原油识别检测进行了实验研究,试验选取辽河油田不同区块2种原油,通过特征峰及图谱分析,实现不同类型原油的识别。结果表明,2 800cm-1~3 000cm-1区域特征峰是激光拉曼证明烷烃存在的重要标志,该段拉曼谱图特征峰的不同代表了烷烃组分的差异性,可以有效区分不同类型的原油。该方法的进一步研究,有望形成一套油品快速、实时检测的技术方法。
In order to reduce the wastage due to mixing oil in long distance transportation of crude oil,it is necessary to detect the pipeline crude oil composition in time to determine whether there is a mixed oils accident.Routine examination of crude oil components in oil pipelines need to obtain sample from the field pipeline and make test in laboratory.This technology operation is complicated and easily affected by environmental factors,and failed to reflect the real-time changes of oil composition after oils are mixed.The application of laser Raman spectroscopy for the detection and identification of crude oil has been studied experimentally.In the experiment,two kinds of crude oils were selected from different blocks of Liaohe oil field.Identification of different types of crude oils was carried out through characteristic peaks and spectral analysis.The results show that the characteristic peak of 2 800 cm-1~3 000 cm-1 region is an important sign for the identification of saturated hydrocarbons by laser Raman spectroscopy.This section of Raman spectrum represents the diversity of saturated hydrocarbons components and distinguish between different types of crude oils.Further research is expected to form a set of rapid and real-time detection methods during transportation of crude oils.
In order to reduce the wastage due to mixing oil in long distance transportation of crude oil,it is necessary to detect the pipeline crude oil composition in time to determine whether there is a mixed oils accident.Routine examination of crude oil components in oil pipelines need to obtain sample from the field pipeline and make test in laboratory.This technology operation is complicated and easily affected by environmental factors,and failed to reflect the real-time changes of oil composition after oils are mixed.The application of laser Raman spectroscopy for the detection and identification of crude oil has been studied experimentally.In the experiment,two kinds of crude oils were selected from different blocks of Liaohe oil field.Identification of different types of crude oils was carried out through characteristic peaks and spectral analysis.The results show that the characteristic peak of 2 800 cm-1~3 000 cm-1 region is an important sign for the identification of saturated hydrocarbons by laser Raman spectroscopy.This section of Raman spectrum represents the diversity of saturated hydrocarbons components and distinguish between different types of crude oils.Further research is expected to form a set of rapid and real-time detection methods during transportation of crude oils.
引文
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[17]WANG Jinzhi.The study on fingerprint identification of crude oil with microscopic confocal Raman spectrum[D].Dalian:Dalian Maritime University,2013.王金芝.基于显微共焦拉曼谱的原油指纹特征研究[D].大连:大连海事大学,2013.
[18]QIAO Xiya.Raman spectra feature extraction and its application in qualitative analysis[D].Hangzhou:Zhejiang University,2010.乔西娅.拉曼光谱特征提取方法在定性分析中的应用[D].杭州:浙江大学,2010.
[19]ZENG Yaling,JIANG Long,CAI Xiaoyu,et al.Identification of the characteristic vibrations for16PAHs based on Raman spectrum[J].Spectroscopy and Spectral Analysis,2014,34(11):2999-3004.曾娅玲,姜龙,蔡啸宇,等.拉曼光谱的16种多环芳烃(PAHs)特征振动光谱辨识[J].光谱学与光谱分析,2014,34(11):2999-3004
[2]GUO Lei,GUO Yan.Evaluation of oil and gas loss hazard and recovery[J].Petrochemical Industry Technology,2017,24(05):68.郭磊,郭艳.油气损耗危害及回收技术评价[J].石化技术,2017,24(05):68.
[3]CHEN Rongyao.Study on the key technology of refined oil mixtures detection by Terahertz time-domain spectroscopy[D].Tianjin:Tianjin University,2014.陈荣耀.太赫兹混油检测若干关键技术研究[D].天津:天津大学,2014.
[4]TANG Zhengbing,GAO Zonghai.Design of detection device based on density method for measuring water content ratio of crude oil[J].Modern Electronics Technique,2011,34(23):137-139.唐征兵,高宗海.基于密度法检测原油含水率的方法[J].现代电子技术,2011,34(23):137-139.
[5]CHEN B,XUE X,LIU T.Measuring the oil weight of crude oil storage tanks based on the density method[C]//International Conference on Applied Science and Engineering Innovation.2015.CHEN B,XUE X,LIU T.基于密度法的原油储罐油量检测技术[C]缺出版地:应用科学与工程创新国际会议.2015.
[6]WANG Yalin.Pipeline oil flow leakage detection system based on ultrasonic flow meter[J].Oil-Gas Field Surface Engineering,2015,34(01):51-52.王亚林.基于超声波流量计的管道原油流量泄漏检测系统[J].油气田地面工程,2015,34(01):51-52.
[7]ZHANG Chao,YANG Yongjian,LI Yanxia.Application of an external clip ultrasonic flow meter in oil product pipeline[J].Automation&Instrumentation,2010(5):90-91.张超,杨永健,李艳霞.一种外夹式超声波流量计在成品油管道上的应用[J].自动化与仪器仪表,2010(5):90-91.
[8]PAN Z,CHEN B,SHANG L.Numerical simulation of V-cone flow meter in product oil pipeline of batch transportation[J].Petroleum Science&Technology,2010,28(9):925-933.PAN Z,CHEN B,SHANG L.V锥流量计在顺序输送成品油管道的数值模拟[J].石油科学技术2010,28(9):925-933.
[9]WANG Jianqiao,CHEN Baodong,SUN Wei,et al.Research on the differential pressure and pressure loss of V-cone flowmeter[J].Pipeline Technique&Equipment,2010(4):1015-1018.王剑桥,陈保东,孙维,等.V型内锥式流量计的压差及压损研究[J].管道技术与设备,2010(4):1015-1018.
[10]WU Zhenming,HUI Li,WEI Zhongzhong.Detection methods for contamination interface of sequential transportation[J].Petrochemical Industry Technology,2016,23(11):66+53.武振明,惠立,魏忠忠.浅析顺序输送混油界面的检测方法[J].石化技术,2016,23(11):66+53.
[11]ZHANG Guoying,LIU Kuijiang,QIAN Xiaoye.Heavy oil interface detection methods research based on infrared spectra[J].Science Technology and Engineering,2015,15(04):62-67.张国英,刘奎江,钱晓晔.基于红外光谱的稠油界面检测方法研究[J].科学技术与工程,2015,15(04):62-67.
[12]TAN Ailing,BI Weihong.Quantitative analysis model of multi-component complex oil spill source based on near infrared spectroscopy[J].Spectroscopy and Spectral Analysis,2012,32(12):3203-3207.谈爱玲,毕卫红.基于近红外光谱法的多组分复杂溢油源定量建模分析[J].光谱学与光谱分析,2012,32(12):3203-3207.
[13]XU Guosheng,LI Zhongdong,LUO Xiaoping,et al.Petroleum and natural gas geology[M].Beijing:Geological Publishing House,2012:10-80.徐国盛,李仲东,罗小平,等.石油与天然气地质学[M].北京:地质出版社,2012:10-80
[14]MILLER F A,KAUFFMAN G B,LI Xiongji.The discovery of Raman effect[J].University Chemistry,1992(04):57-59.F A Miller,G B Kauffman,李雄记.拉曼效应的发现[J].大学化学,1992(04):57-59.
[15]PEI Xiaowei.Quantitative analysis of thiophene sulfur in gasoline by solid nano silver surface enhanced Raman spectroscopy[D].Qidao:China University of Petroleum(Hua Dong),2014.裴晓文.固体纳米银表面增强拉曼光谱法定量分析汽油中的噻吩硫[D].青岛:中国石油大学(华东),2014.
[16]DAI Liankui,WANG Tuo.The principle of the online Raman analyzer and its application in the blending of gasoline[J].Automation in Petro-Chemical Industry,2016,52(01):1-6.戴连奎,王拓.在线拉曼分析仪的原理及其在汽油调和中的应用[J].石油化工自动化,2016,52(01):1-6.
[17]WANG Jinzhi.The study on fingerprint identification of crude oil with microscopic confocal Raman spectrum[D].Dalian:Dalian Maritime University,2013.王金芝.基于显微共焦拉曼谱的原油指纹特征研究[D].大连:大连海事大学,2013.
[18]QIAO Xiya.Raman spectra feature extraction and its application in qualitative analysis[D].Hangzhou:Zhejiang University,2010.乔西娅.拉曼光谱特征提取方法在定性分析中的应用[D].杭州:浙江大学,2010.
[19]ZENG Yaling,JIANG Long,CAI Xiaoyu,et al.Identification of the characteristic vibrations for16PAHs based on Raman spectrum[J].Spectroscopy and Spectral Analysis,2014,34(11):2999-3004.曾娅玲,姜龙,蔡啸宇,等.拉曼光谱的16种多环芳烃(PAHs)特征振动光谱辨识[J].光谱学与光谱分析,2014,34(11):2999-3004