Journal of Pipeline Science and Engineering最新文献_第7页

A study of CO2 two-phase flow in a near horizontal pipe 近水平管道中CO2两相流动的研究

Journal of Pipeline Science and Engineering Pub Date : 2023-06-01 DOI: 10.1016/j.jpse.2022.100106

Zhilin Yang

引用次数: 0

Investigation on utilizing pulse CP in a city gas station: A comparison with conventional CP 某城市加油站脉冲CP应用的调查:与常规CP的比较

Journal of Pipeline Science and Engineering Pub Date : 2023-06-01 DOI: 10.1016/j.jpse.2023.100109

Mohammad Afshari , Abdoulmajid Eslami , Mohammad Ali Golozar , Ali Fatehi , Hamid Reza Gorji , Mahdi Ahmadi , Amin Kavian , Seyed Davod Tavosi

引用次数: 0

Thermophysical properties of the corrugated cryogenic hose precooling process 波纹低温软管预冷过程的热物理特性

Journal of Pipeline Science and Engineering Pub Date : 2023-06-01 DOI: 10.1016/j.jpse.2023.100110

Miao'er Liu , Liang Yang , Fangqiu Li , Zhaokuan Lu , Jun Yan

{"title":"Thermophysical properties of the corrugated cryogenic hose precooling process","authors":"Miao'er Liu , Liang Yang , Fangqiu Li , Zhaokuan Lu , Jun Yan","doi":"10.1016/j.jpse.2023.100110","DOIUrl":"https://doi.org/10.1016/j.jpse.2023.100110","url":null,"abstract":"<div><p>This paper presents research on the thermophysical properties of an LNG-conveying corrugated cryogenic hose during the precooling process. A numerical model consisting of the <span><math><mrow><mi>k</mi><mo>−</mo><mi>ϵ</mi></mrow></math></span> turbulent model with enhanced wall treatment and the Volume of Fluid method is established to simulate the cryogenic multiphase flow, along with the energy equation to capture the thermal conduction and convection process. In addition to the analysis of physical phenomena under a specific precooling working condition, parametric studies on the effects of inlet LNG velocity and initial hose temperature on the cooling rate, boiling regime, and structural temperature gradients are carried out. The simulations successfully capture boiling regime transition and discover its significance on the cooling rate. Correlations of structural temperature gradient with the assessed parameters are identified. The findings of this work serve to enhance understanding of the corrugated hose precooling thermophysics in order to guide safer and more efficient industrial operations.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"3 2","pages":"Article 100110"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49883911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Surface pipeline leak detection using realtime sensor data analysis 利用实时传感器数据分析进行地面管道泄漏检测

Journal of Pipeline Science and Engineering Pub Date : 2023-06-01 DOI: 10.1016/j.jpse.2022.100108

Francis Idachaba, Olusegun Tomomewo

{"title":"Surface pipeline leak detection using realtime sensor data analysis","authors":"Francis Idachaba, Olusegun Tomomewo","doi":"10.1016/j.jpse.2022.100108","DOIUrl":"https://doi.org/10.1016/j.jpse.2022.100108","url":null,"abstract":"<div><p>The most common type of Leak Detection System (LDS) is designed to detect leaks that generate a sufficient pressure variation which can be detected at either the inlet or the outlet sensors. However, the pressure variation from low-pressure leaks at locations far away from the inlet and outlet is dissipated before they arrive at these sensors. Thus, these leaks can continue for weeks before they are detected. This work developed a leak detection architecture which comprised of a pressure sensor installed in the middle of the pipeline segment. This sensor was found to be more sensitive to leak-induced pressure variations from leaks far away from the inlet and outlet and this was because leak-induced pressure variation was higher at the midpoint even when it had diminished to zero at the inlet or outlet. The work also developed a Leak Detection as a Service (LDaaS) platform, which utilizes the leak detection algorithm developed from this research and pressure values from the inlet and midpoint sensor to detect real-time pipeline leaks. The midpoint sensor utilizes an exception-based transmission protocol capable of extending the sensor's battery life. Operators can subscribe to the Leak Detection service by installing the midpoint sensor and transmitting the inlet and the midpoint pressure values to the platform. This platform will monitor the pipeline in real-time and detect both the high-pressure and low-pressure leaks which would have ordinarily been missed by the traditional LDSs.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"3 2","pages":"Article 100108"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49883909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Data augmentation using conditional generative adversarial network (cGAN): Application for prediction of corrosion pit depth and testing using neural network 基于条件生成对抗网络(cGAN)的数据增强:神经网络在腐蚀坑深度预测和测试中的应用

Journal of Pipeline Science and Engineering Pub Date : 2023-03-01 DOI: 10.1016/j.jpse.2022.100091

Haile Woldesellasse, Solomon Tesfamariam

引用次数: 4

Prediction model of critical liquid‐carrying gas velocity for high gas‐to‐liquid ratio gathering pipelines 高气液比集输管道临界载液气速预测模型

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 , Tingxia Ma , Jiaying Kang , Kang Yang , Lianshun Li , Lin Wang","doi":"10.1016/j.jpse.2022.100093","DOIUrl":"https://doi.org/10.1016/j.jpse.2022.100093","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":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Plastic collapse analysis in multiaxially loaded defective pipe specimens at different temperatures 不同温度下多轴加载缺陷管试件的塑性破坏分析

Journal of Pipeline Science and Engineering Pub Date : 2023-03-01 DOI: 10.1016/j.jpse.2022.100092

Y. Li, C. Sakonder, M. Paredes

引用次数: 0

A new calculation method and model of hydrate slurry flow of the multiphase pipeline in deep water gas field 提出了一种新的深水气田多相管道水合物浆体流动计算方法和模型

Journal of Pipeline Science and Engineering Pub Date : 2023-03-01 DOI: 10.1016/j.jpse.2022.100104

Yan Gao , Yue Xu , Kunming Song , Qingping Li , Haiyuan Yao , Haihong Chen , Wuchang Wang , Yuxing Li

{"title":"A new calculation method and model of hydrate slurry flow of the multiphase pipeline in deep water gas field","authors":"Yan Gao , Yue Xu , Kunming Song , Qingping Li , Haiyuan Yao , Haihong Chen , Wuchang Wang , Yuxing Li","doi":"10.1016/j.jpse.2022.100104","DOIUrl":"https://doi.org/10.1016/j.jpse.2022.100104","url":null,"abstract":"<div><p>The transportation environment of multiphase pipelines in deepwater gas fields is likely to cause the problem of hydrate flow safety. Aiming at the gas-liquid-solid three-phase flow problem containing hydrate, a hydrate slurry flow model for a multiphase pipeline in a deep-water gas field was developed based on the two-fluid model coupled with the population balance equation, and a mesh was carried out for the axial distance of pipeline and size difference of hydrate particles to obtain a transient solution. The multiphase flow characteristics of the pipeline are simulated upon engineering scale, the transient flow characteristics of gas and liquid phases, the aggregation and fragmentation characteristics of hydrate particles, and the coupling interaction between them were studied, which lays the foundation for further research on the characteristics of hydrate particle deposition and blockage based on particle size distribution. This study provides support for the safety of hydrate flow in multiphase pipelines in deepwater gas fields.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"3 1","pages":"Article 100104"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881589","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Physics-informed Student’s t mixture regression model applied to predict mixed oil length 应用学生t混合回归模型预测混合油长度

Journal of Pipeline Science and Engineering Pub Date : 2023-03-01 DOI: 10.1016/j.jpse.2022.100105

Ziyun Yuan , Lei Chen , Gang Liu , Weiming Shao , Yuhan Zhang , Yunxiu Ma

{"title":"Physics-informed Student’s t mixture regression model applied to predict mixed oil length","authors":"Ziyun Yuan , Lei Chen , Gang Liu , Weiming Shao , Yuhan Zhang , Yunxiu Ma","doi":"10.1016/j.jpse.2022.100105","DOIUrl":"https://doi.org/10.1016/j.jpse.2022.100105","url":null,"abstract":"<div><p>Real-time estimation of thelength of mixed oil in a multi-product pipeline is a critical task during batch transportation. In previous studies, various predictive models have been built while they merely depended on a single predictive model to fulfill the regression work, and model performance severely deteriorated with the presence of outliers. The Student’s <em>t</em> mixture regression (SMR) model can identify multimode characteristics and reduce the impact of outliers. However, ignorance of physics knowledge and the simplistic assumption of a linear relationship between variables in the SMR may lead to unsatisfactory performance. In addition, the possible singularity problem can make the SMR fails to work. Motivated by resolving these issues, this paper proposes a physics-informed SMR modeling method by integrating the physics knowledge and the SMR to develop a robust hybrid predictive model for predicting the mixed oil length in a multi-product pipeline. Case studies are carried out on the measured dataset to demonstrate the effectiveness and advantages of the proposed new modeling method compared to the model entirely based on the SMR method and two state-of-the-art predictive models.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"3 1","pages":"Article 100105"},"PeriodicalIF":0.0,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49881021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Framework for Generating Pipeline Leak Datasets using PIPESIM 使用PIPESIM生成管道泄漏数据集的框架

Journal of Pipeline Science and Engineering Pub Date : 2023-01-01 DOI: 10.1016/j.jpse.2023.100113

F. Idachaba, Olusegun Tomomewo

引用次数: 0