Journal of Pipeline Science and Engineering最新文献_第6页

Data-driven model to predict burst pressure in the presence of interacting corrosion pits 预测存在相互作用腐蚀坑时爆破压力的数据驱动模型

Journal of Pipeline Science and Engineering Pub Date : 2024-03-01 DOI: 10.1016/j.jpse.2023.100146

Rioshar Yarveisy , Faisal Khan , Rouzbeh Abbassi

{"title":"Data-driven model to predict burst pressure in the presence of interacting corrosion pits","authors":"Rioshar Yarveisy , Faisal Khan , Rouzbeh Abbassi","doi":"10.1016/j.jpse.2023.100146","DOIUrl":"10.1016/j.jpse.2023.100146","url":null,"abstract":"<div><p>This paper presents a data-driven approach to predict the pipelines’ corrosion-induced Burst failure. In this approach, different aspects of pit growth progression and spatial distribution of pits are simulated. The proposed approach takes advantage of population characteristics to model these aspects of the degradation paths for each pipe section down to the size of single joints. The insights obtained from simulations are used to project the degradation of each pipe section. Understanding corrosion behavior and field data are used to model the corrosion-related parameters such as corrosion pit dimensions, probability and time of initiation, and location. The failure is modeled using the probabilistic simulation considering degradation rate, interactions among pits, and material properties as stochastic variables. The proposed approach and included models are tested using multiple real-life inline inspection datasets. Validation of predicted properties shows prediction errors ranging from 3%–10% depending on the three remaining strength calculation approaches. This work aimed to serve as an important tool for risk-based maintenance prioritization, inspection interval assessment, and the fitness of service assessment of pipelines.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 1","pages":"Article 100146"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143323000380/pdfft?md5=dcdc1753d7da883aff50fae90abef5f8&pid=1-s2.0-S2667143323000380-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74025558","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Computational fluid dynamics driven mass transfer model for the prediction of CO2 corrosion in pipelines 用于预测管道中二氧化碳腐蚀的计算流体力学传质模型

Journal of Pipeline Science and Engineering Pub Date : 2024-03-01 DOI: 10.1016/j.jpse.2023.100148

Udayraj Thorat, Michael Jones, Richard Woollam, Joshua Owen, Richard Barker, Harvey Thompson, Gregory de Boer

{"title":"Computational fluid dynamics driven mass transfer model for the prediction of CO2 corrosion in pipelines","authors":"Udayraj Thorat, Michael Jones, Richard Woollam, Joshua Owen, Richard Barker, Harvey Thompson, Gregory de Boer","doi":"10.1016/j.jpse.2023.100148","DOIUrl":"10.1016/j.jpse.2023.100148","url":null,"abstract":"<div><p>A novel, computational fluid dynamics (CFD) driven modelling methodology for predicting <span><math><mrow><mrow><mi>C</mi></mrow><msub><mrow><mi>O</mi></mrow><mn>2</mn></msub></mrow></math></span> corrosion rates in pipelines is presented. CFD is used to provide accurate predictions of the viscous sublayer thickness and turbulent diffusivities, which are then used within a mass transfer model of aqueous <span><math><mrow><mi>C</mi><msub><mi>O</mi><mn>2</mn></msub></mrow></math></span> corrosion. Comparisons with experimental measurements of corrosion rate in horizontal pipe flow and corresponding theoretical predictions, based on empirical correlations and previous CFD approaches, show the new approach is more accurate for flows in the range of pH 4 to 6. However, the key advantage of the new approach is its flexibility. Existing models are inaccurate and highly restrictive, having been derived for very simple cases, such as 1 D pipe flow. In contrast, the new methodology provides a firm, scientific foundation for predicting corrosion rates by determining conditions in the viscous sublayer in much more complex, and practically relevant, flow situations.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 1","pages":"Article 100148"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143323000409/pdfft?md5=21b54194463c208186bb44f66e96e081&pid=1-s2.0-S2667143323000409-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135428505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A machine learning regression approach for predicting uplift capacity of buried pipelines in anisotropic clays 预测各向异性粘土中埋设管道隆升能力的机器学习回归方法

Journal of Pipeline Science and Engineering Pub Date : 2024-03-01 DOI: 10.1016/j.jpse.2023.100147

Van Qui Lai , Khamnoy Kounlavong , Suraparb Keawsawasvong , Truong Son Bui , Ngoc Thi Huynh

{"title":"A machine learning regression approach for predicting uplift capacity of buried pipelines in anisotropic clays","authors":"Van Qui Lai , Khamnoy Kounlavong , Suraparb Keawsawasvong , Truong Son Bui , Ngoc Thi Huynh","doi":"10.1016/j.jpse.2023.100147","DOIUrl":"10.1016/j.jpse.2023.100147","url":null,"abstract":"<div><p>The uplift capacity of pipeline systems in geotechnical engineering is influenced by internal loading and external factors, making it a significant consideration in pipeline design problems. Previous research has conducted experimental tests and numerical solutions to investigate the relationship between force and displacement or the resistance of pipelines in numerous soil media. This paper proposes a machine-learning regression technique to predict the uplift capacity of buried pipelines in anisotropic clays with parametric analysis. Specifically, the Multivariate Adaptive Regression Spline (MARS) is employed to establish the relationship between input parameters, namely the depth ratio (<em>H/D</em>), anisotropic strength ratio (<em>r</em><sub>e</sub>), load inclination (<em>β</em>), overburden factor (<em>γH/S</em><sub>uc</sub>), adhesion factor (<em>α</em>), and the output uplift resistance (<em>N</em>) obtained from the finite element limit analysis (FELA), utilizing the AUS material model integrated with the OptumG2 commercial program. Furthermore, the sensitivity analysis outcome shows the embedded depth ratio is the most critical parameter, followed by the anisotropic strength ratio, overburden factor, load inclination, and adhesion factor. Additionally, the shear velocity field contours show that when the depth ratio and the load inclination increase, the dissipation of shear changes. Design data visualizations, tables, graph contours, and empirical equations are created and can be utilized to aid in the development of practical designs.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 1","pages":"Article 100147"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143323000392/pdfft?md5=07bffd42498dbcf453fa6df57874078f&pid=1-s2.0-S2667143323000392-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135248205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A numerical study of the slurry erosion in 90° horizontal elbows 90° 水平弯头中泥浆侵蚀的数值研究

Journal of Pipeline Science and Engineering Pub Date : 2024-03-01 DOI: 10.1016/j.jpse.2023.100149

Yijie Wang , Xin Wang , Peijuan Shang , Zhenkang Xu , Qiyu Huang

{"title":"A numerical study of the slurry erosion in 90° horizontal elbows","authors":"Yijie Wang , Xin Wang , Peijuan Shang , Zhenkang Xu , Qiyu Huang","doi":"10.1016/j.jpse.2023.100149","DOIUrl":"10.1016/j.jpse.2023.100149","url":null,"abstract":"<div><p>The slurry erosion processes of horizontal elbows are investigated numerically using an Eulerian-Lagrangian method coupled with particle rebound and erosion model. First, a mechanical model for the internal multiphase flow involving slurry erosion in the 90° horizontal elbow is established and the corresponding governing equations are presented. Then, a two-way coupled numerical solution procedure is developed and its accuracy and stability are examined carefully using benchmark pipe flow models with experimental results. Using the validated numerical methods, the effects of flow velocity, fluid density and fluid viscosity on the flow and slurry erosion in the horizontal elbow are analyzed in detail. Finally, a prediction method of erosion rate distribution based on the pipe Froude number, particle Stokes number and the Dean number is proposed. In this method the pipe Froude number is employed to qualify the effect of ununiform distribution of particles, particle Stokes number and Dean number are combined to qualify the effects of inertia force, drag force and secondary flow. Using this approach, the location of the maximum erosion rate in horizontal elbows under different operating conditions can be predicted more conveniently.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 1","pages":"Article 100149"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143323000410/pdfft?md5=8afcc5737659d8fb34c5226bfffc6cc6&pid=1-s2.0-S2667143323000410-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136117648","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation and optimization of pipeline pricing strategies on oil product logistics in China 中国成品油物流管道定价策略的评估与优化

Journal of Pipeline Science and Engineering Pub Date : 2024-03-01 DOI: 10.1016/j.jpse.2023.100144

Rui Qiu, Renfu Tu, Xuemei Wei, Hao Zhang, Mengda Gao, Qi Liao, Yongtu Liang

{"title":"Evaluation and optimization of pipeline pricing strategies on oil product logistics in China","authors":"Rui Qiu, Renfu Tu, Xuemei Wei, Hao Zhang, Mengda Gao, Qi Liao, Yongtu Liang","doi":"10.1016/j.jpse.2023.100144","DOIUrl":"10.1016/j.jpse.2023.100144","url":null,"abstract":"<div><p>In the early stage of pipeline network reform in China, it is still controversial to formulate an appropriate pipeline freight pricing strategy. Focusing on this issue, this paper puts forward an integrated framework to analyze the impact of different pipeline pricing strategies on the economic-environmental benefits of China’s oil product logistics. A basic mathematical programming model is developed to simulate the planning of nationwide oil product logistics at the tactical level. On this basis, five pipeline pricing strategies are customized for comparative analysis, including pricing as usual (PAU), pricing by benchmarking railway (PBR), pricing by discounting on excess (PDE), tiered pricing by mileage (TPM), and tiered pricing by volume (TPV). Then, the basic logistics optimization model is upgraded accordingly. The real-world case study in China in 2019 is carried out in detail and the results demonstrate that (i) Except for TPM, the other pricing strategies can achieve coordination between oil shippers and pipeline carriers compared with PAU; (ii) Ranked by economic performance as follows: PDE >PBT>TPV> PAU>TPM; (iii) As for PDE, it also helps to reduce carbon emissions by 0.5% annually. The proposed method can be a theoretical guide for oil and gas logistics managers and decision-makers within and beyond China.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 1","pages":"Article 100144"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143323000367/pdfft?md5=631ca531c2f8fcf9a3a77741799d8890&pid=1-s2.0-S2667143323000367-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74916398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effect of brine salinity on the partitioning, distribution and corrosion inhibition performance of a quaternary amine corrosion inhibitor 盐水盐度对季胺类缓蚀剂的分配、分布和缓蚀性能的影响

IF 4.8

Journal of Pipeline Science and Engineering Pub Date : 2024-02-20 DOI: 10.1016/j.jpse.2024.100181

Yasmin Hayatgheib , Joshua Owen , Raeesa Bhamji , Dilshad Shaikhah , Jeanine Williams , William H. Durnie , Mariana C. Folena , Abubaker Abdelmagid , Hanan Farhat , Richard C. Woollam , Richard Barker

{"title":"Effect of brine salinity on the partitioning, distribution and corrosion inhibition performance of a quaternary amine corrosion inhibitor","authors":"Yasmin Hayatgheib , Joshua Owen , Raeesa Bhamji , Dilshad Shaikhah , Jeanine Williams , William H. Durnie , Mariana C. Folena , Abubaker Abdelmagid , Hanan Farhat , Richard C. Woollam , Richard Barker","doi":"10.1016/j.jpse.2024.100181","DOIUrl":"10.1016/j.jpse.2024.100181","url":null,"abstract":"<div><p>Surfactant corrosion inhibition performance in water–oil environments is influenced by complex relationships between their physical properties, solution chemistry and interfacial characteristics. The existence of polar heads/nonpolar tails influences both the preferential distribution of the surfactant between the two media as well as the phase in which micellisation occurs. Both phenomena affect the efficiency of the surfactant inhibitor and its adsorption at the metal-solution interface. To demonstrate the complexity of such interactions, the effect of brine salinity on the critical micelle concentration (CMC) and partitioning/distribution behaviour of a quaternary amine corrosion inhibitor (alkyldimethylbenzylhexadecylammonium chloride, or BAC-C<sub>16</sub>) in a brine and toluene system (at 1:1 ratio) was explored. All experiments were conducted at 50 °C and pH4 over varying salinities (0.1, 1 and 10 wt%) of NaCl brine. Both CMC and partitioning characteristics of BAC-C<sub>16</sub> are significantly affected by aqueous phase salinity, with an inversion of the partitioning response observed between concentrations of 0.1 and 1 wt% NaCl. The effect of BAC-C<sub>16</sub> partitioning/distribution behaviour on corrosion inhibitor performance was examined using rotating cylinder electrode experiments. The results illustrate that in order to establish the true corrosion inhibition behaviour, consideration of the chemical distribution characteristics is crucial.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 3","pages":"Article 100181"},"PeriodicalIF":4.8,"publicationDate":"2024-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143324000088/pdfft?md5=b2f47431385acee79858f20a9c45d9c7&pid=1-s2.0-S2667143324000088-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140467597","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine learning application in batch scheduling for multi-product pipelines: A review 机器学习在多产品流水线批量调度中的应用：综述

Journal of Pipeline Science and Engineering Pub Date : 2024-02-15 DOI: 10.1016/j.jpse.2024.100180

Renfu Tu , Hao Zhang , Bin Xu , Xiaoyin Huang , Yiyuan Che , Jian Du , Chang Wang , Rui Qiu , Yongtu Liang

{"title":"Machine learning application in batch scheduling for multi-product pipelines: A review","authors":"Renfu Tu , Hao Zhang , Bin Xu , Xiaoyin Huang , Yiyuan Che , Jian Du , Chang Wang , Rui Qiu , Yongtu Liang","doi":"10.1016/j.jpse.2024.100180","DOIUrl":"10.1016/j.jpse.2024.100180","url":null,"abstract":"<div><p>Batch scheduling is a crucial part of pipeline enterprise operation management, especially in the context of market-oriented operation. It involves 3 main tasks: quickly preparing batch plans, accurately tracking interface movement, and operation condition in real time. Normally, the completion of multi-product pipeline batch scheduling depends on simulation models or optimization models and corresponding conventional solving algorithm. However, this approach becomes inefficient when applied to large-scale systems. The rapid development of machine learning has brought new ideas to batch scheduling research. This paper first reviews the current state of batch scheduling technology, and suggests that applying machine learning to it is a promising development direction. Then, we summarize the progress of machine learning applications in batch planning, interface movement tracking, and operational condition monitoring, and point out their limitations. Finally, considering the separation of refined oil production, transportation, and sales processes, 5 recommendations are put forward: oil supply and demand prediction and pipeline capacity prediction, batch planning, batch interface movement tracking, mixed oil development monitoring, and pipeline operation condition identification.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 3","pages":"Article 100180"},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143324000076/pdfft?md5=0d91876456076fec176061eebb977611&pid=1-s2.0-S2667143324000076-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139878399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions 利用预测分析技术评估能源管道退化状况--挑战、问题和未来方向

IF 4.8

Journal of Pipeline Science and Engineering Pub Date : 2024-02-13 DOI: 10.1016/j.jpse.2024.100178

Muhammad Hussain , Tieling Zhang , Richard Dwight , Ishrat Jamil

{"title":"Energy pipeline degradation condition assessment using predictive analytics – challenges, issues, and future directions","authors":"Muhammad Hussain , Tieling Zhang , Richard Dwight , Ishrat Jamil","doi":"10.1016/j.jpse.2024.100178","DOIUrl":"10.1016/j.jpse.2024.100178","url":null,"abstract":"<div><p>It is of paramount importance to ensure the safe operation of energy pipelines for pipeline owners and operators. Therefore, effective condition assessment of pipelines is imperative. For this purpose, there are a great number of models developed using various techniques. How to select a modeling approach and associated techniques to get the most of the effectiveness of the model under a condition with limited monitoring data and experience remains a big concern to pipeline operators.</p><p>This paper provides a comprehensive review of the developed approaches and techniques for energy pipeline degradation condition assessment. The primary motivation behind this review is the pivotal role of condition assessment in energy pipeline integrity management and the proliferation of models and techniques, including statistical modeling, stochastic processes, machine learning, and deep learning, used for assessing pipeline degradation. This work aims to identify and assess the challenges and gaps inherent in the utilization of these condition modeling approaches. By systematically analyzing the current state of research and practice, this review not only highlights the strengths and limitations of various modeling approaches but also offers insights into future opportunities for enhancing the research and management practice in the field of pipeline integrity management.</p><p>Our analysis offers valuable insights for researchers, practitioners, and policymakers in the domain of pipeline integrity management. It facilitates a better understanding of the complexities and intricacies of condition assessment, ultimately contributing to the development of more robust and effective strategies for safeguarding the integrity of energy pipelines.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 3","pages":"Article 100178"},"PeriodicalIF":4.8,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143324000064/pdfft?md5=9306357cdc5fca975b08d7ad92ba1da4&pid=1-s2.0-S2667143324000064-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139888318","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on the micro-mechanism of annealing treatment on the intermolecular action of waxy crude oil 退火处理对含蜡原油分子间作用的微观机制研究

Journal of Pipeline Science and Engineering Pub Date : 2024-02-01 DOI: 10.1016/j.jpse.2024.100177

Liping Guo, Xueping Gao, Baojun Liu

{"title":"Study on the micro-mechanism of annealing treatment on the intermolecular action of waxy crude oil","authors":"Liping Guo, Xueping Gao, Baojun Liu","doi":"10.1016/j.jpse.2024.100177","DOIUrl":"10.1016/j.jpse.2024.100177","url":null,"abstract":"<div><p>To investigate the influence mechanism of the annealing treatment on the intermolecular action of waxy crude oil, this study selected the molecular models of oil, wax, resin and asphaltene, and constructed the model system to imitate instead of the waxy crude oils by using the Materials Studio software, and revealed the influence mechanism of annealing treatment. Three main findings were made: 1) The basic molecular unit structure is the premise of phase transformation, and the different annealing times are the main factors affecting the phase transformation. 2) After annealing treatment, the conformation of molecular chain gradually changes from the initial straight chain to the curly state, and the change is most obvious at the lowest energy; in terms of system energy, the changes of <em>E</em><sub>val</sub><em>, E</em><sub>non-bond</sub> and <em>E</em><sub>total</sub> of the three oil samples all increase in different extent during the whole thermal process. 3) In terms of the radial distribution function (RDF) between the identical types of molecules and heterogeneous molecules of waxy crude oil, the accumulation of asphaltenes plays a leading role in the annealing process of waxy crude oil system, and the van der Waals force is the main force.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 3","pages":"Article 100177"},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143324000052/pdfft?md5=69c4c7dffa7f79d13cbd5e77ee779e07&pid=1-s2.0-S2667143324000052-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139686044","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive review of polyethylene pipes: Failure mechanisms, performance models, inspection methods, and repair solutions 聚乙烯管道综合评述：故障机理、性能模型、检查方法和维修解决方案

Journal of Pipeline Science and Engineering Pub Date : 2024-01-15 DOI: 10.1016/j.jpse.2024.100174

Hao Wang , Jay Shah , Said-El Hawwat , Qindan Huang , Alireza Khatami

{"title":"A comprehensive review of polyethylene pipes: Failure mechanisms, performance models, inspection methods, and repair solutions","authors":"Hao Wang , Jay Shah , Said-El Hawwat , Qindan Huang , Alireza Khatami","doi":"10.1016/j.jpse.2024.100174","DOIUrl":"10.1016/j.jpse.2024.100174","url":null,"abstract":"<div><p>Polyethylene (PE) pipes are widely used for natural gas distribution due to their good durability and low costs. To ensure the integrity of PE pipelines, it is crucial to develop a comprehensive understanding of pipe failure mechanisms and to recognize the benefits and limitations of different pipeline monitoring strategies. This review provides an overview of different types of pipe failures in the context of their response to operational loads and material degradation. It also covers the details of mechanical tests for predicting the long-term performance of pipes, theoretical models for studying defect growth, examines different defect detection methods, and concludes with an assessment of pipe repair techniques. The findings highlight the importance of investigating the effects of existing defects on the operational performance of the pipeline. This indirectly emphasizes the need to develop time- and cost-efficient strategies to detect defects in the early stages. There is a clear gap in the inclusion of PE aging effects in the lifetime performance models. In addition, given the large number of inspection techniques, a regulated selection of pipeline inspection methods is highly desired, specific to the defect type. Further research in advancing adhesive-based repair of incipient defects is crucial to prevent catastrophic defect growth.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"4 2","pages":"Article 100174"},"PeriodicalIF":0.0,"publicationDate":"2024-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143324000027/pdfft?md5=63039c66b6b65ba9bf36b984b3c2ea6b&pid=1-s2.0-S2667143324000027-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139638542","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0