Prediction model of critical liquid‐carrying gas velocity for high gas‐to‐liquid ratio gathering pipelines

IF 4.8 Q2 ENERGY & FUELS Journal of Pipeline Science and Engineering Pub Date : 2023-03-01 DOI:10.1016/j.jpse.2022.100093
Rulong Ma , Tingxia Ma , Jiaying Kang , Kang Yang , Lianshun Li , Lin Wang
{"title":"Prediction model of critical liquid‐carrying gas velocity for high gas‐to‐liquid ratio gathering pipelines","authors":"Rulong Ma ,&nbsp;Tingxia Ma ,&nbsp;Jiaying Kang ,&nbsp;Kang Yang ,&nbsp;Lianshun Li ,&nbsp;Lin Wang","doi":"10.1016/j.jpse.2022.100093","DOIUrl":null,"url":null,"abstract":"<div><p>As the pressure and temperature of natural gas pipelines decreases during operation, water and condensate accumulates form in the low areas of the pipelines, affecting the operational efficiency of the pipelines and even corroding them. The critical gas velocity is a key factor in predicting liquid loading onset in the pipeline, so that appropriate measures can be taken in advance and hazards can be reduced. This paper proposes a model for predicting pipeline liquid loading onset based on the liquid film and wall shear stress of zero, and applicable to different pipe diameters and different inclination angles. This model provides a more simplified and comprehensive prediction of pipeline fluid loading than other models with complex calculations. The critical gas velocity in this model is a function of the liquid holding rate rather than the liquid film thickness, and the critical gas velocity prediction in a phase-inclined pipe is carried out by an improved Belfroid angle correction term. The experimental data, field data and seven models in the published literature were compared and validated, and the errors were judged. The results showed that the new model outperformed the other models in terms of absolute mean error at full inclination angle, and was able to predict the pipeline liquid loading accurately.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"3 1","pages":"Article 100093"},"PeriodicalIF":4.8000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pipeline Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2667143322000658","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0

Abstract

As the pressure and temperature of natural gas pipelines decreases during operation, water and condensate accumulates form in the low areas of the pipelines, affecting the operational efficiency of the pipelines and even corroding them. The critical gas velocity is a key factor in predicting liquid loading onset in the pipeline, so that appropriate measures can be taken in advance and hazards can be reduced. This paper proposes a model for predicting pipeline liquid loading onset based on the liquid film and wall shear stress of zero, and applicable to different pipe diameters and different inclination angles. This model provides a more simplified and comprehensive prediction of pipeline fluid loading than other models with complex calculations. The critical gas velocity in this model is a function of the liquid holding rate rather than the liquid film thickness, and the critical gas velocity prediction in a phase-inclined pipe is carried out by an improved Belfroid angle correction term. The experimental data, field data and seven models in the published literature were compared and validated, and the errors were judged. The results showed that the new model outperformed the other models in terms of absolute mean error at full inclination angle, and was able to predict the pipeline liquid loading accurately.

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
高气液比集输管道临界载液气速预测模型
天然气管道在运行过程中,随着管道压力和温度的降低,会在管道的低位形成水和凝析液,影响管道的运行效率,甚至腐蚀管道。临界气速是预测管道中液体加载开始的关键因素,因此可以提前采取适当的措施,减少危害。本文提出了一种基于液膜和管壁剪应力为零的管道液载起始预测模型,该模型适用于不同管径和不同倾角。与其他计算复杂的模型相比,该模型对管道流体载荷的预测更为简单和全面。该模型中的临界气速是持液率的函数,而不是液膜厚度的函数,采用改进的贝尔弗罗伊德角校正项对相倾斜管道中的临界气速进行了预测。对实验数据、现场数据和已发表文献中的7个模型进行对比验证,并对误差进行判断。结果表明,新模型在全倾角下的绝对平均误差优于其他模型,能够准确地预测管道液量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
7.50
自引率
0.00%
发文量
0
期刊最新文献
Inhibition and co-condensation behaviour of 2-mercaptoethanol in top-of-line CO2 corrosion environments Supercritical/dense-phase CO2 pipeline leakage diffusion experiment and hazard distance prediction method Editorial board Crack assessment in spiral-welded pipelines repaired by composite patch: A SMART and failure assessment diagram approach Quantification of methane emissions from typical natural gas stations using on-site measurement technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1