Journal of Pipeline Science and Engineering最新文献

Reliability analysis of gas pipelines considering spatial and temporal corrosion variability 考虑时空腐蚀变异性的输气管道可靠性分析

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2025.100256

Rui Xiao , Tarek Zayed , Mohamed A. Meguid , Laxmi Sushama

{"title":"Reliability analysis of gas pipelines considering spatial and temporal corrosion variability","authors":"Rui Xiao , Tarek Zayed , Mohamed A. Meguid , Laxmi Sushama","doi":"10.1016/j.jpse.2025.100256","DOIUrl":"10.1016/j.jpse.2025.100256","url":null,"abstract":"<div><div>The accelerating deterioration rate, notably due to corrosion in buried gas pipelines, has prompted the development of a systematic methodology for assessing structural integrity. This study introduces a methodology to evaluate the system reliability of a corroded gas pipeline, incorporating the spatial and temporal variability in corrosion growth. To capture the spatial variability of the corrosion process, random field theory is applied, which illustrates the correlation between defect depth and length growth, while a stochastic process is utilized to model the temporal evolution of these defects. The methodology considers two primary failure modes, i.e., small leaks and bursts, and investigates how the length scale in random fields, and the correlation strength between these fields influence the failure probability of the pipelines. System reliability is ultimately assessed based on the analysis of individual pipeline segments. The findings underscore the importance of considering spatial variability in estimating the reliability of gas pipelines. The proposed methodology offers a practical and more accurate approach to account for the spatial and temporal dynamics of corrosion, thereby enhancing the accuracy of reliability assessments for corroded gas pipelines.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100256"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109473","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

Research on multi-objective optimal route selection method for natural gas transmission pipeline 天然气输送管道多目标优化选路方法研究

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2024.100250

Tong Zhao , Xu Wang , Shengzhu Zhang , Yingquan Duo , Jinhuai Xu , Saitao Hu

{"title":"Research on multi-objective optimal route selection method for natural gas transmission pipeline","authors":"Tong Zhao , Xu Wang , Shengzhu Zhang , Yingquan Duo , Jinhuai Xu , Saitao Hu","doi":"10.1016/j.jpse.2024.100250","DOIUrl":"10.1016/j.jpse.2024.100250","url":null,"abstract":"<div><div>By the end of 2022, the nation’s natural gas pipeline network had reached 12.0 million kilometers, with projections suggesting an expansion to approximately 163,000 km by 2025. This rapid growth, coupled with increased urbanization, has intensified the need for effective pipeline routing to address safety, cost, and environmental concerns. However, traditional methods are often inadequate for these complex challenges. To identify a practical and feasible routing scenario, we developed a methodology for natural gas long-haul pipeline routing: by constructing a multi-objective optimization model of pipeline routing with construction cost, potential casualty loss, and potential environmental loss as optimization objectives, and proposing a safety extension strategy and a multilevel cost raster map strategy, the A* algorithm is realized to be improved and optimized, so that it is applicable to the solution of the multi-objective optimization model of pipeline routing, and then the ideal long-distance natural gas pipeline routing scenario is solved. Compared with the traditional A* algorithm, our improved algorithm can effectively avoid the problem of passing through the impassable area when arranging pipelines, and optimize the route length and direction, and the improvement can reduce the route length by about 3.33% and the bends by about 26.9%. The actual test solved pipe routing scenario also further confirms the validity of our model and algorithm. The results of the study can provide theoretical support and methodological support for the rational and quantitative selection of the ideal natural gas long-distance pipeline routing scenario.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100250"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108982","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

Enhancing pipeline system resilience: a reliability-centric approach 增强管道系统弹性：以可靠性为中心的方法

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2024.100252

Federica Antonelli , Ming Yang , Valerio Cozzani

{"title":"Enhancing pipeline system resilience: a reliability-centric approach","authors":"Federica Antonelli , Ming Yang , Valerio Cozzani","doi":"10.1016/j.jpse.2024.100252","DOIUrl":"10.1016/j.jpse.2024.100252","url":null,"abstract":"<div><div>Pipelines are the most widely used system for transporting liquid and gaseous energy materials, but throughout their lifespan, they are exposed to various detrimental factors, such as corrosion and deviations in process variables. In recent years, the concept of resilience has gained significant attention as a means to analyze infrastructure behavior during failure states. This study introduces a novel metric for assessing pipeline resilience based on reliability. The proposed method involves an aging study of pipelines, considering the interaction of potential failures—such as corrosion, pressure variations, temperature fluctuations, and changes in fluid velocity—and subsequently analyzes ways to restore the system to its original conditions. The method offers an assessment approach for the three phases that constitute a resilience curve: absorption, adaptation, and restoration. This approach not only identifies the system’s time to failure, but also through analysis of the resilience curve, facilitates the comparison of the effects of potential preventive, mitigative, and repair actions. A case study is presented to validate the method’s efficacy. The results suggest that the proposed approach could be a valuable tool in the decision-making process within the asset integrity management (AIM) framework, aiming to optimize pipeline resilience by implementing the most effective safety solutions.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100252"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145108997","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

Calculation for critical gas velocity of liquid accumulation in inclined pipelines: A method based on physics-informed neural network 倾斜管道积液临界气速计算：一种基于物理信息神经网络的方法

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2025.100257

Xinru Zhang , Lei Hou , Xin Wang , Jiaquan Liu , Zuoliang Zhu

{"title":"Calculation for critical gas velocity of liquid accumulation in inclined pipelines: A method based on physics-informed neural network","authors":"Xinru Zhang , Lei Hou , Xin Wang , Jiaquan Liu , Zuoliang Zhu","doi":"10.1016/j.jpse.2025.100257","DOIUrl":"10.1016/j.jpse.2025.100257","url":null,"abstract":"<div><div>Liquid accumulation in gas pipelines will reduce transportation efficiency, increase corrosion rates, and induce severe slug flow. Calculation for critical gas velocity <em>v</em><sub>cg</sub> of liquid accumulation in inclined pipelines is important for the prevention of liquid accumulation. Due to the complexity of multiphase flow, the mechanism of liquid accumulation is still controversial. Many models have been proposed based on different liquid accumulation theories, but most of these models are complex and inaccurate. It is difficult to compare the calculation results of different theories in a unified standard. To simplify the calculation and improve the accuracy, a new physics-informed neural network (PINN) for calculating <em>v</em><sub>cg</sub> is proposed. PINN is trained only by the physical constraints of gas-liquid two-phase flow (GLF) and does not require any training data. In the same computational framework, PINN can calculate the <em>v</em><sub>cg</sub> corresponding to minimum pressure gradient (MPG), minimum gas-liquid interface shear stress (MIS), and zero liquid-wall shear stress (ZLS), respectively. In addition, the same two empirical equations are introduced for each calculation procedure, which ensures objectivity in the evaluation of different liquid accumulation theories. With 89 collected public experimental data, PINN is compared with 3 models based on different theories, and the changing law of <em>v</em><sub>cg</sub> are analyzed. The results show that PINN is applicable to a range of operating conditions with liquid superficial velocity from 0.001 to 0.100 m/s, pipe inclination from 2° to 20°, and pipe diameters from 50 to 200 mm. PINN are better than other models, and different theories have different sensitivities to each factor. This study provides a new computational method for the research of GLF and provides guidance for the prevention of liquid accumulation in gas pipelines.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100257"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109474","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

A review of computer vision applications for asset inspection in the oil and gas industry 计算机视觉在油气行业资产检测中的应用综述

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2024.100246

Edmundo Casas , Leo Thomas Ramos , Cristian Romero , Francklin Rivas-Echeverría

{"title":"A review of computer vision applications for asset inspection in the oil and gas industry","authors":"Edmundo Casas , Leo Thomas Ramos , Cristian Romero , Francklin Rivas-Echeverría","doi":"10.1016/j.jpse.2024.100246","DOIUrl":"10.1016/j.jpse.2024.100246","url":null,"abstract":"<div><div>This review explores the current application of computer vision (CV) technologies in the inspection of pipelines within the oil and gas industry, highlighting the methodologies, challenges, and advancements in this critical area. Through a systematic analysis of key articles, our study emphasizes CV’s role in addressing crucial issues such as corrosion, leaks, oil spills, and mechanical damage, areas identified as critical through our literature review. Predominant CV techniques like object detection and image segmentation, particularly using advanced frameworks like You Only Look Once (YOLO), Mask Region-based Convolutional Neural Network (R-CNN), and U-Net, showcase the field’s robust response to asset inspection challenges. Additionally, our findings reveal a significant reliance on in-house or directly acquired datasets, primarily through RGB and thermal imaging or increasingly via internet and satellite resources, underscoring the urgent need for standardized, accessible datasets to advance CV research. Despite these advancements, a gap in real-world testing remains, indicating a pressing need for field validation to ensure the operational viability of CV applications in asset inspection. In conclusion, this study reaffirms the transformative potential of CV technologies in enhancing asset integrity and operational safety across the oil and gas industry. However, the findings also highlight critical challenges, such as the scarcity of standardized datasets and the need for more comprehensive field testing. Looking ahead, future research should focus on expanding the application of CV, fostering collaborative dataset development, and ensuring that these technologies can bridge the gap between theoretical research and practical implementation, ultimately contributing to more reliable and efficient asset inspection.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100246"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109483","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

An algorithm for third-party intrusion action detection in oil and gas pipelines based on fine-grained feature enhancement 基于细粒度特征增强的油气管道第三方入侵行为检测算法

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2025.100261

Shaocan Dong , Yuxing Li , Qihui Hu , Wuchang Wang , Ruijia Zhang , Yundong Yuan , Chengming An

{"title":"An algorithm for third-party intrusion action detection in oil and gas pipelines based on fine-grained feature enhancement","authors":"Shaocan Dong , Yuxing Li , Qihui Hu , Wuchang Wang , Ruijia Zhang , Yundong Yuan , Chengming An","doi":"10.1016/j.jpse.2025.100261","DOIUrl":"10.1016/j.jpse.2025.100261","url":null,"abstract":"<div><div>The extensive distribution of oil and gas pipeline networks across China results in frequent third-party intrusions in high-consequence areas, significantly increasing the risk of pipeline failures and posing serious threats to pipeline safety. Current detection methods mainly rely on manual inspections and video surveillance. However, traditional manual inspections suffer from high workloads, low efficiency, poor effectiveness, and considerable safety risks. Existing video surveillance technologies can only identify abnormal objects within pipeline protection zones, failing to recognize abnormal behaviors effectively. These limitations lead to high false alarm rates and poor recognition capabilities. To address these issues, this study designs a multi-scale network feature extraction structure based on the SlowFast algorithm framework. The design captures fine-grained features of small targets across various scales in complex oil and gas pipeline scenes. The proposed approach enhances spatiotemporal representation by leveraging features across different temporal scales. Corresponding feature fusion methods are also designed for these improvements to develop a third-party intrusion abnormal action recognition technology. This enhances the ability to identify third-party intrusions in oil and gas pipelines and provides support for the intelligent development of pipeline infrastructure.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100261"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109471","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

CRA clad pipes: Do their benefits justify sole selection? CRA包覆管道：它们的优点是否证明了选择单一管道的合理性？

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2024.100245

Ahmed Reda , Mohammad Zam Zam Noor , Ali Karrech

引用次数: 0

A mechanistic model for flow accelerated corrosion prediction of a 90° carbon steel elbow in CO2 environments 90°碳钢弯头在CO2环境中流动加速腐蚀的机理模型

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2025.100258

Dongrun Li , Zheng Fang , Tai Ma , Zengqiang Li , Jun Shi , Li Zeng , Hanxin Chen

引用次数: 0

Experimental study on overpressure and flame characteristics of hydrogen-methane mixture 氢-甲烷混合物超压及火焰特性实验研究

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2024.100242

Weibin Wang

{"title":"Experimental study on overpressure and flame characteristics of hydrogen-methane mixture","authors":"Weibin Wang","doi":"10.1016/j.jpse.2024.100242","DOIUrl":"10.1016/j.jpse.2024.100242","url":null,"abstract":"<div><div>In order to evaluate the consequences of hydrogen-methane mixture explosion accidents in open space and confined space, large-scale (8 m<sup>3</sup>) open space and confined space (55 m<sup>3</sup>) hydrogen-methane mixture explosion experiments were carried out to study the effects of hydrogen-doped ratio and equivalent ratio on hydrogen-methane mixture explosion characteristics. In the open space experiments, within the equivalence ratio range of 0.9 to 1.3, the overpressure measured at an equivalence ratio of 1.1 is the highest. When the equivalent ratio is 1.1, the higher the hydrogen blending ratio, the higher the overpressure peak and the farther the action distance. The overall overpressure increased significantly when the hydrogen blending ratio increased from 20% to 30%. When the hydrogen ratio is 30%, the flame propagation speed is as high as 20 m/s, which is about twice the flame propagation peak speed when the hydrogen ratio is 10%–20%. Therefore, from the angle of overpressure and flame development, the step point of overpressure harm can be obtained by a hydrogen mixing ratio of 20%. The overall trend of external overpressure change in confined and open spaces is consistent; both decrease with the increase in distance. However, the external overpressure in confined space is more significant than in open space, and the flame propagation speed is much higher than in open space. Compared with open space, the harm range of confined space is more extensive. This study provides an experimental basis for the safety assessment of hydrogen-methane mixture and the formulation of safety protection measures.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100242"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109470","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

Mechanical behavior of pipeline steel after strain aging – Part I: Experiment 管道钢应变时效后的力学性能。第1部分：试验

IF 4.9

Journal of Pipeline Science and Engineering Pub Date : 2025-09-01 DOI: 10.1016/j.jpse.2025.100259

Radmir E. Mukhamejanov , Igor Yu. Pyshmintsev , Vladimir M. Khatkevich , Alexander A. Frantsuzov , Ivan V. Sergeichev

{"title":"Mechanical behavior of pipeline steel after strain aging – Part I: Experiment","authors":"Radmir E. Mukhamejanov , Igor Yu. Pyshmintsev , Vladimir M. Khatkevich , Alexander A. Frantsuzov , Ivan V. Sergeichev","doi":"10.1016/j.jpse.2025.100259","DOIUrl":"10.1016/j.jpse.2025.100259","url":null,"abstract":"<div><div>Low plastic straining combined with aging leads to critical changes in the mechanical properties of steels used in submarine pipelines constructed using the pipe reeling method. This includes alterations in the mechanical behavior of steel at the initial stages of plastic strain, which can be critical for the long-term operation of pipelines due to localized plastic deformation in the form of buckling. In this study, the effects of plastic preliminary strain of 3% through monotonic tension and aging at 250 °C for 1 h on the mechanical behavior of low-carbon steel in various microstructural states were investigated. These states differed in terms of the volumetric fraction of structurally free ferrite after quenching or normalizing. It was shown that the overall yield strength increase, as well as the contributions of strain hardening and bake hardening, depend on the volumetric fraction of ferrite and the heat treatment method. A direct proportional relationship between uniform elongation and the strain hardening exponent, both before and after strain aging, was confirmed. The results have been used for numerical modeling of the plastic strain of steel, aiming to predict and prevent the buckling of deep-water pipelines, as presented in Part II of the article.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 3","pages":"Article 100259"},"PeriodicalIF":4.9,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145109469","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