Journal of Pipeline Science and Engineering最新文献

{"title":"A bibliometric review of hydrogen storage and transportation safety research","authors":"Jiali Tang ,&nbsp;Chao Chen ,&nbsp;Bo Wang ,&nbsp;Changjun Li ,&nbsp;Jie Li ,&nbsp;Ming Yang ,&nbsp;Ernesto Salzano","doi":"10.1016/j.jpse.2025.100425","DOIUrl":"10.1016/j.jpse.2025.100425","url":null,"abstract":"<div><div>Rising concerns over carbon emissions from fossil fuels have fueled interest in renewable energies. Hydrogen, as a clean energy source, stands out for its free of pollution and high calorific value. However, challenges in safely storing and transporting hydrogen, such as embrittlement, fire and explosion risks, are critical. This study reviews hydrogen storage and transportation safety research through a bibliometric approach, analyzing 948 relevant publications obtained from the Web of Science Core Collection, SCOPUS, and Science Direct literature databases since 2007. Then, a bibliometric analysis is conducted to obtain the publication’s distribution, organization, source, and cooperation networks. Besides, the research hotspots in different periods are identified, and the evolution trend of hot topics is analyzed. Moreover, this paper proposes the possible future research needs in this field. The main hot topics in the field of hydrogen storage and transportation safety research include microstructure, crack, susceptibility, and hydrogen embrittlement and they change over time. In the future, research topics such as hydrogen damage in materials, compatibility of hydrogen in natural gas pipelines, and risk assessment should obtain more attention.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100425"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757013","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}

{"title":"Hydraulic transient analysis in low gas-liquid ratio pipelines under valve closure conditions: Pressure surge characteristics and predictive modeling","authors":"Xiaoming Luo,&nbsp;Ruiqing Yang,&nbsp;Qihang Wu,&nbsp;Danqing Zhang","doi":"10.1016/j.jpse.2025.100376","DOIUrl":"10.1016/j.jpse.2025.100376","url":null,"abstract":"<div><div>The propagation dynamics of water hammer pressure waves in gas-liquid pipelines are predominantly influenced by gas-phase compressibility. To investigate the effects of the gas-liquid ratio and flow regime on the velocity and attenuation of the water hammer pressure wave, transient two-phase flow experiments were conducted in a 50 mm diameter, 145 m long pipeline. The results indicate that, unlike downstream valve closure, upstream valve closure induces liquid column separation, which reduces peak pressure and causes waveform hysteresis in liquid pipelines. As the gas-liquid ratio increases from 0.04% to 12.6%, the water hammer pressure wave velocity decreases from 298 to 146 m/s, accounting for 21.6% to 5.88% of the corresponding values in liquid pipelines. When the gas-liquid ratio exceeds 2.65%, the water hammer effect becomes negligible. Based on these findings, a predictive model incorporating the effects of line packing was developed by integrating interphase compression wave propagation and the unsteady friction mechanism. The prediction errors of this model are below 4.55%, accurately capturing the dynamics of secondary pressurization and wave velocity decay. These advancements provide essential theoretical support for the design and operation of gas-liquid pipelines.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100376"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757008","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}

{"title":"Effect of soils reinforced with PET waste in reducing loads transferred to buried pipeline","authors":"Hüseyin Suha Aksoy ,&nbsp;Rifat Enes Bitkin","doi":"10.1016/j.jpse.2025.100398","DOIUrl":"10.1016/j.jpse.2025.100398","url":null,"abstract":"<div><div>Buried pipelines need to limit the surface loads transferred on them in order to ensure trouble-free operation throughout their service life. The objective of this study was to evaluate the efficacy of PET waste as a reinforcing material in mitigating the pressure exerted on buried pipes due to surface loading. The experimental program involved a series of model tests carried out on pipes embedded in sand, where the soil layers surrounding the pipes were reinforced with varying amounts of PET waste (1 %, 3 %, and 5 % by weight). The influence of reinforcement at different PET content levels and layer thicknesses on key parameters such as bearing capacity, foundation settlement, and strain distribution at critical points (crown, springline, and invert) of the pipe was assessed and compared to unreinforced condition.</div><div>The findings showed that the reinforcement of PET waste significantly enhanced the bearing capacity of the foundation and reduced the loading stresses transferred to the pipe’s crown and springline. Specifically, the reinforced configurations exhibited up to a 90 % increase in bearing capacity and up to a 50 % reduction in strain at the crown relative to the unreinforced tests. Furthermore, an increase in the depth of the PET-reinforced layer correlated with a higher bearing capacity and a further decrease in strain values at the pipe's surface. This comprehensive experimental analysis highlights the potential of PET waste reinforcement as a feasible and effective method to reduce stresses transferred to buried pipes.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100398"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757009","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}

{"title":"Enhancing hydrogen pipeline safety: Perspectives on resilience against hydrogen-induced degradation","authors":"Guojin Qin ,&nbsp;Ruiling Li ,&nbsp;Bohong Wang ,&nbsp;Yihuan Wang ,&nbsp;Y. Frank Cheng","doi":"10.1016/j.jpse.2025.100314","DOIUrl":"10.1016/j.jpse.2025.100314","url":null,"abstract":"<div><div>Transport of hydrogen in blended form in existing natural gas pipelines contributes to the accelerated realization of a full-scale hydrogen economy. However, steel pipelines are considered susceptible to hydrogen-induced degradation (HID) in high-pressure gaseous hydrogen environments. This work develops a critical review of the up-to-date progress in pipeline HID research between 1994 and 2024, defining the spatiotemporal distributions of research publications, featured researchers and their affiliations, and thematic topics. Pipeline HID research encompasses five themes: 1) hydrogen (H) atom generation, 2) adsorption and absorption of H atoms, 3) diffusion and trapping of H atoms in steels, 4) HID mechanisms, and 5) hydrogen-induced pipeline failures and integrity management. Specific disturbance factors for resilience assessment on hydrogen pipelines are identified, and the evolution of research methods and test approaches is reviewed. There is a rapid increase in pipeline HID research, with the number of relevant publications from single digital to over 60 per year. The publications are mainly from Asia (47.7%), Europe (23.1%), and North America (20.6%), where China (53 publications) contributes the most literature on pipeline HID in Asia. Of the top sixteen institutions contributing to HID research, there are five located in China. Currently, the primary knowledge gap lies in reliable assessment and effective control of HID-related risks to pipelines for timely decision-making to maintain pipeline safety. Resilience is one of the new paradigms to assess the vulnerability, robustness, reliability, and recovery ability of pipelines when facing disturbance. This critical review also covers the engineering applications of resilience, along with its principles, performance metrics, models, and solution methods. The concept of pipeline resilience is proposed considering the HID risk. The pathway for effective assessment, optimization, and improvement of the hydrogen pipeline resilience is discussed.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100314"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757014","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}

{"title":"Improved guided-wave acoustic defect detection and localization in pipes under varying temperature conditions using deep learning","authors":"Sangmin Lee,&nbsp;Rajendra P. Palanisamy,&nbsp;Do-Kyung Pyun,&nbsp;Alp T. Findikoglu","doi":"10.1016/j.jpse.2025.100395","DOIUrl":"10.1016/j.jpse.2025.100395","url":null,"abstract":"<div><div>Early defect detection in pipelines is critical across industries, particularly in the oil and gas sector, where failures result in significant maintenance costs and operational disruptions. Acoustic guided-wave techniques are widely used for nondestructive evaluation of pipeline defects due to their long-distance propagation capability. However, environmental variations, sensitivity limitations, and complex signal interpretation challenges limit the effectiveness of traditional signal processing approaches with guided-wave signals. Recent advances in deep learning methods have demonstrated remarkable success in solving complex real-world problems in many fields. In particular, deep-learning-based signal processing holds substantial promise to overcome limitations and challenges of conventional signal processing. This study presents a deep learning framework for pipeline inspection using acoustic guided-wave signals under temperature-varying environments. The proposed framework employs a dual-path one-dimensional convolutional autoencoder that combines defect detection, localization, and temperature prediction functions. The proposed system utilizes multi-mode and broadband acoustic waves with an optimized number of sensors that provide high accuracy while retaining practical simplicity. Experimental validation is performed on a carbon steel pipe. The results indicate exceptional defect detection accuracy and precise defect localization with a mean absolute error of 66 mm. The proposed technique also predicts the effective average temperature of the pipe with a mean absolute error of 0.2 °C. Comparative analysis shows superior performance of the proposed method over a traditional method previously developed by the authors' team. These results highlight the potential of integrating deep learning methods into guided-wave pipeline inspection systems to improve reliability under varying environmental conditions.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100395"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757112","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}

{"title":"Adaptability study of gas equations of state for the calculation of thermophysical parameters of hydrogen-blended natural gas","authors":"Huijie Huang ,&nbsp;Jingfa Li ,&nbsp;Xu Sun ,&nbsp;Bo Yu ,&nbsp;Xiaofeng Wang ,&nbsp;Nianrong Wang ,&nbsp;Lixin Ma","doi":"10.1016/j.jpse.2025.100313","DOIUrl":"10.1016/j.jpse.2025.100313","url":null,"abstract":"<div><div>Blending hydrogen into natural gas pipelines offers a promising solution for large-scale hydrogen transportation. The thermophysical parameters of hydrogen-blended natural gas (HBNG), particularly the Joule-Thomson (J-T) coefficient, significantly influence the design and operation of natural gas transportation networks. The selection of an appropriate gas equation of state (EoS) is essential for the accurate prediction of the thermophysical parameters of HBNG. In this study, the prediction performance of the PR, BWRS, AGA8-92DC and GERG-2008 EoSs and a widely-used empirical formula was verified using experimental data, then the adaptability of these EoSs and the empirical formula were compared and evaluated by predicting the J-T coefficient of HBNG for temperatures in the range of 283.15 K-323.15 K, pressures in the range of 0.1 MPa-10 MPa, and hydrogen blending ratios (HBRs) in the range of 0%-100%. Results indicate that GERG-2008 shows the highest prediction performance and superior adaptability for HBNG. The empirical formula exhibits low deviation at low HBRs and pressures, highlighting its adaptability in specific conditions. However, its limitations become apparent at higher HBRs, requiring significant corrections. The PR-EoS demonstrates substantial inaccuracies across the calculation conditions, indicating limited adaptability for HBNG. In contrast, the BWRS-EoS shows good adaptability at lower HBRs (below 30%), while the AGA8-92DC provides reliable results that align closely with those of GERG-2008. Overall, the GERG-2008 EoS consistently demonstrates the best adaptability for the calculation of thermophysical parameters of HBNG across a range of conditions. This study provides a reliable reference for selecting suitable EoS for HBNG in engineering applications.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100313"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757005","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}

{"title":"Investigation of water displacement process in pipelines: An improved mechanistic model and its numerical implementation","authors":"Jaqueline Diniz da Silva ,&nbsp;Rodolfo M. Perissinotto ,&nbsp;Natan A.V. Bulgarelli ,&nbsp;William Monte Verde ,&nbsp;Marcelo S. Castro","doi":"10.1016/j.jpse.2025.100340","DOIUrl":"10.1016/j.jpse.2025.100340","url":null,"abstract":"<div><div>Multiphase flows are very common in industrial operations. In offshore oil and gas production, transient processes in long pipelines can lead to water accumulation, which must be removed using gas–oil mixtures. The slug flow pattern, characterized by the intermittent passage of elongated gas bubbles flowing over a liquid film, followed by liquid slugs that may contain dispersed tiny bubbles, is usually observed under these flow conditions and adds complexity to the phenomenon. Therefore, optimizing the complete removal of this water is crucial to avoid flow assurance issues. In this context, the present study proposes the development of a mechanistic model and its numerical implementation, aiming to estimate the time required for the removal of a water film displaced by a gas–oil mixture in a slug flow pattern within a <span><math><mrow><mn>5</mn><mo>°</mo></mrow></math></span> upward-inclined pipe. The present work also addresses the results of computational simulations performed using a commercial multiphase flow simulator, which predicts the trends of transient shutdown and restart processes in a pipeline, providing insights for the mechanistic model. Both the proposed model and the simulations provided consistent results, suggesting that higher gas phase fractions can accelerate water removal. However, the proposed model estimates that the mechanism of water displacement occurs through a liquid film, in contrast to the results generated by the simulator, which show displacement by a plug at the beginning, followed by a liquid film for the final removal of water. In addition, increasing the superficial velocities of gas and oil improves the ability to displace water in both approaches. As a next step, the results will be compared with the data from an experimental campaign and presented in a further work. This will enable the validation of both the simulations and the model against experimental data, as well as the identification of potential improvements.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100340"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757011","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}

{"title":"Acoustic detection of gas pipeline leakage based on CPO-VMD and multi-feature extraction","authors":"Guangjin Lai ,&nbsp;Baojun Shi ,&nbsp;Zhengxin Li ,&nbsp;Ning Hu","doi":"10.1016/j.jpse.2025.100306","DOIUrl":"10.1016/j.jpse.2025.100306","url":null,"abstract":"<div><div>Detection of gas pipeline leaks is essential for energy security and environmental preservation. Non-contact detection can be accomplished by analyzing acoustic signals produced by gas leakage. Nonetheless, accurate leakage identification continues to pose a considerable difficulty owing to external noise interference and inadequate signal features. An intelligent leakage detection method is proposed by utilizing adaptive Variational Mode Decomposition (VMD) and multi-feature extraction (MFE) to overcome these challenges. Firstly, the Crested Porcupine Optimizer (CPO) is introduced to effectively optimize two critical parameters of VMD: the penalty factor and the number of decomposition modes. A fitness function is formulated using the ratio of mean to variance of permutation entropy, facilitating the decomposition of the original signal into several narrow-band Intrinsic Mode Functions (IMFs). Secondly, effective IMFs are chosen based on correlation coefficients and reconstructed to mitigate noise. Thirdly, features from the frequency domain, time domain, and waveforms of the reconstructed signals are extracted to create a feature matrix. Finally, the feature matrix is input into a Support Vector Machine (SVM) for the detection and classification of gas leakage. Experimental results indicate that the CPO-VMD method surpasses the PSO-VMD and SABO-VMD methods for robustness and convergence. The proposed method achieves a maximum classification accuracy of 98.19% across 12 categories in the GPLA-12 public dataset, and a classification accuracy of 94.20% for 3 categories in the experimental dataset with differing leakage hole diameters. In comparison to other methods, the suggested approach exhibits enhanced performance in signal decomposition and classification accuracy.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100306"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757108","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}

{"title":"Influence of Fe3C on corrosion inhibition efficiency of Benzyldimethylhexadecylammonium chloride: Galvanic Corrosion interaction and adsorption behaviour","authors":"Mariana C. Folena,&nbsp;Maria Alessandra de Beaumont,&nbsp;Abubaker Abdelmagid,&nbsp;Eaint Thet Su,&nbsp;Hanan Farhat","doi":"10.1016/j.jpse.2025.100291","DOIUrl":"10.1016/j.jpse.2025.100291","url":null,"abstract":"<div><div>Corrosion products formation on carbon steel in oil and gas environments can induce galvanic corrosion and hinders corrosion inhibitor (CI) adsorption due to surface heterogeneities (i.e., roughness, competitive adsorption, CI displacement, etc.). This study uniquely explores the role of Fe₃C in influencing galvanic interactions and CI performance under dynamic flow conditions, addressing a critical gap in the literature. The presence of Fe₃C reduces the adsorption and efficiency of quaternary ammonium compounds (QAC), with limited research available on its impact in real-world pipeline environments. Benzyldimethylhexadecylammonium chloride was used as a CI for X60 carbon steel in a CO₂ environment. The study investigated the inhibitory effects and preferential adsorption behaviour of the X60/Fe₃C system through electrochemical tests and surface characterization under harsh, high-salinity conditions simulating Qatar’s fields. Results demonstrated an inhibition efficiency of 92.7% for galvanic corrosion and higher efficiency against general corrosion.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100291"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757012","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}

{"title":"Full-scale tests and numerical investigation on the bending strain failure of low-strength-matched X80 pipeline girth welds","authors":"Xiaoben Liu ,&nbsp;Jiaqing Zhang ,&nbsp;Jian Chen ,&nbsp;Yue Yang ,&nbsp;Yanbing Wang ,&nbsp;Pengchao Chen ,&nbsp;Beilei Ji","doi":"10.1016/j.jpse.2026.100456","DOIUrl":"10.1016/j.jpse.2026.100456","url":null,"abstract":"<div><div>The fracture behavior and strain capacity of girth welds in large-diameter high-grade steel pipelines are crucial for their structural design and safe operation. This study conducts full-scale four-point bending tests on X80 steel pipelines (D1219 × 22 mm) under low-strength matching conditions to obtain the pipeline strain capacity under conditions close to actual service scenarios. The main goal is to systematically investigate the effects of internal pressure, external loads, and crack geometric dimensions on the strain-bearing capacity. Digital image correlation (DIC) technology and a multi-point strain monitoring system are integrated to real-time collect key data, including strain response, load-displacement, internal pressure, and crack mouth opening displacement (CMOD). A finite element numerical model is established based on the results of small-scale material mechanical property tests. Moreover, a comparative analysis is performed between the simulation results and the test data. The results indicate that the numerical simulation is in good agreement with the test results; pipelines with defects under low strength matching conditions still maintain a certain load-bearing capacity, and their failure is mainly caused by the through-thickness propagation of cracks. This study enriches the global pipeline strain capacity database and provides a systematic experimental framework and theoretical support for the research on the fracture behavior of large-diameter high-grade steel pipelines.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 3","pages":"Article 100456"},"PeriodicalIF":4.9,"publicationDate":"2026-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147757007","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}