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

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

Chemical Industry and Engineering Progress ›› 2024, Vol. 43 ›› Issue (5): 2823-2833.DOI: 10.16085/j.issn.1000-6613.2023-1698

• Carbon dioxide capture and utilization • Previous Articles

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:2024-06-15 Published:2024-05-15
Contact: XING Xiaokai

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

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)

Abstract

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

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

CLC Number:

TE832

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.

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.

Figures/Tables 13

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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