新疆油田某超临界CO2管道安全停输时间预测

doi:10.16085/j.issn.1000-6613.2023-1698

化工进展 ›› 2024, Vol. 43 ›› Issue (5): 2823-2833.DOI: 10.16085/j.issn.1000-6613.2023-1698

• 二氧化碳捕集与资源化利用 • 上一篇

新疆油田某超临界CO₂管道安全停输时间预测

李欣泽¹^,²(), 邹炜杰¹, 孙晨¹, 付璇¹^,², 陈潜³, 袁亮⁴, 王梓丞⁵, 邢晓凯¹^,²(), 熊小琴¹^,², 郭良辉¹^,²

^1.中国石油大学（北京）克拉玛依校区工学院，新疆克拉玛依 834000
^2.新疆多介质管道安全输送重点实验室，新疆乌鲁木齐 830000
^3.长江大学石油工程学院，湖北武汉 430100
^4.中国石油新疆油田分公司开发公司，新疆克拉玛依 834000
^5.中国石油新疆油田分公司工程技术研究院，新疆克拉玛依 834000

收稿日期:2023-09-26 修回日期:2023-10-29 出版日期:2024-05-15 发布日期:2024-06-15
通讯作者: 邢晓凯
作者简介:李欣泽（1987—），男，博士，高级工程师，研究方向为超临界CO₂长距离输送管道运行安全保障关键技术。E-mail：lixinze@cupk.edu.cn。
基金资助:
中国石油大学（北京）克拉玛依校区科研启动基金(XQZX20230021);新疆维吾尔自治区自然科学基金(2023D01A19);新疆维吾尔自治区克拉玛依市创新环境建设计划（创新人才）(20232023hjcxrc0001);新疆维吾尔自治区“天池英才”引进计划;新疆天山创新团队“油气高效管输技术研究与应用创新团队”项目(2022TSYCTD0002);新疆维吾尔自治区“一事一议”引进战略人才项目(XQZX20240054)

Prediction of safe shutdown time of a supercritical CO₂ pipeline in Xinjiang oilfield

LI Xinze¹^,²(), ZOU Weijie¹, SUN Chen¹, FU Xuan¹^,², CHEN Qian³, YUAN Liang⁴, WANG Zicheng⁵, XING Xiaokai¹^,²(), XIONG Xiaoqin¹^,², GUO Lianghui¹^,²

^1.School of Engineering, China University of Petroleum(Beijing) at Karamay, Karamay 834000, Xinjiang, China
^2.Xinjiang Key Laboratory of Multi-Medium Pipeline Safety Transportation, Urumqi 830000, Xinjiang, China
^3.School of Petroleum Engineering, Yangtze University, Wuhan 430100, Hubei, China
^4.Development Company of PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China
^5.Research Institute of Engineering Technology, PetroChina Xinjiang Oilfield Company, Karamay 834000, Xinjiang, China

Received:2023-09-26 Revised:2023-10-29 Online:2024-05-15 Published:2024-06-15
Contact: XING Xiaokai

摘要/Abstract

摘要：

为得到超临界CO₂管道安全停输时间，本文采用商业软件OLGA建立了多因素协同作用下管道安全停输时间计算模型。基于中国石油新疆油田分公司规划的超临界CO₂管道工程参数范围，开展了对输量、管径、管长、首站出站温度、土壤环境温度、总传热系数、末站进站压力等管道安全停输时间影响因素研究，并基于灰色关联度分析方法，得出了土壤环境温度、管长等为敏感因素。为预测管道的安全停输时间，基于以上参数化分析得到的1728组安全停输时间计算结果，建立了管道安全停输时间数据库，结合量纲分析方法，利用Python拟合得到了用于映射七大可变参数（自变量）与超临界CO₂管道安全停输时间（因变量）的高度非线性回归计算公式。结果表明：该拟合公式预测结果的最大相对误差小于10%，预测准确性良好，且该方法具有较高的计算效率。

关键词: 超临界CO₂, 安全停输时间, 灰色关联, 公式化, 预测

Abstract:

In order to obtain the safe shutdown time of supercritical CO₂ pipeline, the commercial software OLGA was used to establish a calculation model of pipeline safety shutdown time under multi-factor synergy. Based on the parameter range of supercritical CO₂ pipeline engineering planned by PetroChina Xinjiang Oilfield Company, the influencing factors of pipeline safety shutdown time, such as pipeline capacity, pipe diameter, pipe length, initial station outlet temperature, soil environment temperature, total heat transfer coefficient, and terminal station inlet pressure, were studied, and sensitive factors such as soil environmental temperature and pipe length were obtained based on the gray correlation analysis method. In order to predict safe shutdown time of pipelines, based on above parametric analysis of 1728 sets of safe shutdown time results, a database of pipeline safety shutdown time was established. Combined with the methods of dimensional analysis, Python fitting was used to obtain a high nonlinear regression calculation formula for mapping seven variable parameters (independent variables) and supercritical CO₂ pipeline safety shutdown time (dependent variable). The results showed that the maximum relative error of prediction results of fitting formula was less than 10%, showing good prediction accuracy, and the method has high computational efficiency.

Key words: supercritical carbon dioxide, safe shutdown time, gray association, formulation, prediction

中图分类号:

TE832

李欣泽, 邹炜杰, 孙晨, 付璇, 陈潜, 袁亮, 王梓丞, 邢晓凯, 熊小琴, 郭良辉. 新疆油田某超临界CO₂管道安全停输时间预测[J]. 化工进展, 2024, 43(5): 2823-2833.

LI Xinze, ZOU Weijie, SUN Chen, FU Xuan, CHEN Qian, YUAN Liang, WANG Zicheng, XING Xiaokai, XIONG Xiaoqin, GUO Lianghui. Prediction of safe shutdown time of a supercritical CO₂ pipeline in Xinjiang oilfield[J]. Chemical Industry and Engineering Progress, 2024, 43(5): 2823-2833.

图/表 13

参考文献 29

1	戴厚良, 苏义脑, 刘吉臻, 等. 碳中和目标下我国能源发展战略思考[J]. 北京石油管理干部学院学报, 2022, 29(2): 12-19.
	DAI Houliang, SU Yinao, LIU Jizhen, et al. Thinking of China’s energy development strategy under carbon neutrality goal[J]. Journal of Beijing Petroleum Managers Training Institute, 2022, 29(2): 12-19.
2	杨友麒.“双碳”形势下能源化工企业绿色低碳转型进展[J]. 现代化工, 2023, 43(1): 1-12.
	YANG Youqi. Progress of energy and chemical companies in transition towards green low carbon under peak carbon dioxide emission and carbon neutrality[J]. Modern Chemical Industry, 2023, 43(1): 1-12.
3	ONYEBUCHI V E, KOLIOS A, HANAK D P, et al. A systematic review of key challenges of CO₂ transport via pipelines[J]. Renewable and Sustainable Energy Reviews, 2018, 81: 2563-2583.
4	张强, 杨玉锋, 张学鹏, 等. 超临界二氧化碳管道完整性管理技术发展现状与挑战[J]. 油气储运, 2023, 42(2): 152-160.
	ZHANG Qiang, YANG Yufeng, ZHANG Xuepeng, et al. Technology status and challenge of integrity management of supercritical carbon dioxide pipeline[J]. Oil & Gas Storage and Transportation, 2023, 42(2): 152-160.
5	赵青, 李玉星. 杂质对管道输送CO₂相特性的影响规律[J]. 油气储运, 2014, 33(7): 734-739, 743.
	ZHAO Qing, LI Yuxing. Impact of impurities on the phase behavior of CO₂ in pipeline transportation[J]. Oil & Gas Storage and Transportation, 2014, 33(7): 734-739, 743.
6	刘敏, 滕霖, 李玉星, 等. 适用于超临界CO₂管道输送的水力模型及特性研究[J]. 油气田地面工程, 2016, 35(6): 14-17.
	LIU Min, TENG Lin, LI Yuxing, et al. Study on hydraulic model and characteristics for supercritical CO₂ pipelines[J]. Oil-Gas Field Surface Engineering, 2016, 35(6): 14-17.
7	MCCOY Sean T, RUBIN Edward S. The effect of high oil prices on EOR project economics[J]. Energy Procedia, 2009, 1(1): 4143-4150.
8	MOHITPOUR M, GOLSHAN H, MURRAY A. Pipeline design & construction: A practical approach[M]. 3rd ed. New York: ASME Press, 2007.
9	MAHGEREFTEH H, DENTON G, RYKOV Y. Pressurised CO₂ pipeline rupture[C]//Cleveland: Proceedings of the Institution of Chemical Engineers Symposium Series, 2008: 869-879.
10	MUNKEJORD Svend Tollak, JAKOBSEN Jana P, AUSTEGARD Anders, et al. Thermo- and fluid-dynamical modelling of two-phase multi-component carbon dioxide mixtures[J]. International Journal of Greenhouse Gas Control, 2010, 4(4): 589-596.
11	LILJEMARK Stefan, ARVIDSSON Kenneth, CANN Michael T P MC, et al. Dynamic simulation of a carbon dioxide transfer pipeline for analysis of normal operation and failure modes[J]. Energy Procedia, 2011, 4: 3040-3047.
12	BROWN Solomon, MARTYNOV Sergey, MAHGEREFTEH Haroun, et al. CO₂ QUEST: Techno-economic assessment of CO₂ quality effect on its storage and transport[J]. Energy Procedia, 2014, 63: 2622-2629.
13	MARTYNOV S, SOLOMON, F B, HAROUN M, et al. Modelling choked flow for CO₂ from the dense phase to below the triple point[J]. International Journal of Greenhouse Gas Control. 2016, 19: 552-558.
14	MUNKEJORD Svend Tollak, BERNSTONE Christian, CLAUSEN Sigmund, et al. Combining thermodynamic and fluid flow modelling for CO₂ flow assurance[J]. Energy Procedia, 2013, 37: 2904-2913.
15	刘敏. 超临界二氧化碳管道输送瞬变特性研究[D]. 青岛: 中国石油大学(华东), 2015.
	LIU Min. The transient characteristics of supercritical carbon dioxide pipelines[D]. Qingdao: China University of Petroleum (Huadong), 2015.
16	陈兵, 房启超, 白世星. 含杂质超临界CO₂输送管道的停输影响因素[J]. 天然气化工(C1化学与化工), 2020, 45(3): 84-89.
	CHEN Bing, FANG Qichao, BAI Shixing. Research on the factors influencing the shutdown of the transport pipeline of supercritical CO₂ containing impurities[J]. Natural Gas Chemical Industry, 2020, 45(3): 84-89.
17	陈兵, 徐梦林, 房启超, 等. 超临界含杂质CO₂管网停输再启动对水合物生成的影响[J]. 石油与天然气化工, 2022, 51(4): 43-50.
	CHEN Bing, XU Menglin, FANG Qichao, et al. Effect of supercritical impurity-containing CO₂ pipe network shutdown and restarting conditions on hydrate generation[J]. Chemical Engineering of Oil & Gas, 2022, 51(4): 43-50.
18	赵青, 李玉星, 李秋扬. 超临界CO₂管道停输过程中安全控制研究[J]. 石油机械, 2015, 43(2): 110-114.
	ZHAO Qing, LI Yuxing, LI Qiuyang. Research on safety control for shutdown of supercritical CO₂ pipeline[J]. China Petroleum Machinery, 2015, 43(2): 110-114.
19	王全德. 长距离超临界CO₂管道输送仿真应用研究[D]. 西安: 西安石油大学, 2020.
	WANG Quande. Research on simulation application of long distance supercritical CO₂ pipeline transportation[D]. Xi’an: Xi’an Shiyou University, 2020.
20	高飞, 辛建旭, 郭志强, 等. 含杂质CO₂物性变化规律及其机理研究[J]. 石油化工高等学校学报, 2022, 35(4): 18-25.
	GAO Fei, XIN Jianxu, GUO Zhiqiang, et al. Study on physical property changes and their mechanism of carbon dioxide containing impurities[J]. Journal of Petrochemical Universities, 2022, 35(4): 18-25.
21	赵青, 李玉星. 管道输送CO₂准临界特性及安全控制[J]. 油气储运, 2014, 33(4): 354-358.
	ZHAO Qing, LI Yuxing. Quasi-critical characteristics and safety control of CO₂ pipeline transportation[J]. Oil & Gas Storage and Transportation, 2014, 33(4): 354-358.
22	中华人民共和国工业和信息化部. 二氧化碳输送管道工程设计标准: [S]. 北京: 中国石化出版社, 2018.
	Ministry of Industry and Information Technology of the People’s Republic of China. Specification for engineering of carbon dioxide pipeline transportation: [S]. Beijing: China Petrochemical Press, 2018.
23	黄亚川, 蒋国萍. 基于灰色交叉影响的油库改造工程安全风险因素识别[J]. 能源与环保, 2023, 45(8): 45-50, 55.
	HUANG Yachuan, JIANG Guoping. Identification of safety risk factors in oil depot renovation project based on grey cross influence[J]. China Energy and Environmental Protection, 2023, 45(8): 45-50, 55.
24	张强, 程万洲, 杨玉锋, 等. 多层次灰色综合评价法在管道风险评价中的应用[J]. 地质科技情报, 2016, 35(2): 126-128.
	ZHANG Qiang, CHENG Wanzhou, YANG Yufeng, et al. Application of multihierarchy synthetic grey comprehensive evaluation in pipeline risk assessment[J]. Geological Science and Technology Information, 2016, 35(2): 126-128.
25	赵选民, 薛康. 灰色关联分析法在油气开采成本影响因素分析中的应用[J]. 西安石油大学学报(社会科学版), 2011, 20(6): 5-9.
	ZHAO Xuanmin, XUE Kang. An application of grey correlation analysis to the study about the influencing factors of oil-gas production cost[J]. Journal of Xi’an Shiyou University (Social Science Edition), 2011, 20(6): 5-9.
26	李建华, 亓东民, 俞树荣, 等. 基于灰色理论的长输管道风险分析[J]. 石油机械, 2006, 34(11): 24-26, 78.
	LI Jianhua, QI Dongmin, YU Shurong, et al. Risk analysis of oil and gas pipelines based on grey theory[J]. China Petroleum Machinery, 2006, 34(11): 24-26, 78.
27	段安鹏. 基于量纲分析法分析民用飞机燃油系统管路结冰特性[J]. 民用飞机设计与研究, 2020(3): 67-72.
	DUAN Anpeng. Study on pipeline icing characteristics of civil aircraft fuel system based on dimensional analysis[J]. Civil Aircraft Design & Research, 2020(3): 67-72.
28	周刚. 基于量纲分析的含蜡热油管道总传热系数预测模型[J]. 西安石油大学学报(自然科学版), 2020, 35(1): 84-88, 109.
	ZHOU Gang. A model for total heat transfer coefficient of hot waxy oil pipeline based on dimension analysis[J]. Journal of Xi’an Shiyou University (Natural Science Edition), 2020, 35(1): 84-88, 109.
29	孙宝玺, 王硕, 郭洋, 等. 基于量纲分析法的节制闸过流公式应用[J]. 北京水务, 2023(2): 14-17.
	SUN Baoxi, WANG Shuo, GUO Yang, et al. Application of overflow equation in check-gate based on dimensional analysis[J]. Beijing Water, 2023(2): 14-17.

组分	体积分数/%
CO₂	99.5
N₂	0.18
CH₄	0.15
H₂S	0.001
C₂₊	0.15
CO	0.001
O₂	0.001
NO _x	0.005
SO _x	0.005
H₂	0.001
Ar	0
H₂O	0.006

组分	体积分数/%
CO₂	99.5
N₂	0.18
CH₄	0.15
H₂S	0.001
C₂₊	0.15
CO	0.001
O₂	0.001
NO _x	0.005
SO _x	0.005
H₂	0.001
Ar	0
H₂O	0.006

参数	数值
质量流量/kg·s^-1	34.7
首站出站压力/MPa	12
首站出站温度/℃	35
长度/km	100
土壤温度/℃	冬季2，夏季22
绝对粗糙度/mm	0.05
总传热系数/W·m^-2·K^-1	1.2
管外径/mm	273.3
壁厚/mm	8

参数	数值
质量流量/kg·s^-1	34.7
首站出站压力/MPa	12
首站出站温度/℃	35
长度/km	100
土壤温度/℃	冬季2，夏季22
绝对粗糙度/mm	0.05
总传热系数/W·m^-2·K^-1	1.2
管外径/mm	273.3
壁厚/mm	8

参数	范围
输量/10⁴t·a^-1	200，250，300
管径/mm	273.3，323.9，355.6
首站出站温度/℃	40，45，48
土壤环境温度/℃	2，22
末站进站压力/MPa	9.0，10.8，12.0
管长/km	15，30，50，100，150，200
总传热系数/W·m^-2·K^-1	1.2，2.3

新疆油田某超临界CO₂管道安全停输时间预测

Prediction of safe shutdown time of a supercritical CO₂ pipeline in Xinjiang oilfield

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图/表 13

参考文献 29

相关文章 15

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Metrics

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系列	管径/mm	输量/10⁴t·a^-1	工况数量/组
1	273.3	200	216
2	323.9	200	216
3	355.6	200	216
4	273.3	250	216
5	323.9	250	216
6	355.6	250	216
7	323.9	300	216
8	355.6	300	216
数据样品总数合计			1728

参数	灰色关联度
输量	0.72
管径	0.67
首站出站温度	0.70
土壤温度	0.85
总传热系数	0.7
末站进站压力	0.79
管长	0.83

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