Antonio Contreras Cuevas, Lucila Cruz-Castro, Apolinar Albiter Hernández
{"title":"Failure analysis due to collapse pressure in CT-90 coiled tubing in the Mexican oil industry","authors":"Antonio Contreras Cuevas, Lucila Cruz-Castro, Apolinar Albiter Hernández","doi":"10.1016/j.jpse.2025.100303","DOIUrl":"10.1016/j.jpse.2025.100303","url":null,"abstract":"<div><div>Failure analysis of the ruptured CT-90 grade steel coiled tubing (CT) with a diameter of 44.45 mm (1.750″), which became trapped at the bottom of the well, was conducted. Mechanical and microstructural characterization, along with optical and electronic microscopy of the fracture surface, were performed to determine the cause of the CT failure. The CT meets the requirements of minimum tensile stress, chemical composition and hardness. However, the strain (18%) was below the minimum required value (19%), which was attributed to strain hardening by the cycle of spooling and unspooling of CT. Visual inspection revealed the presence of some cracks and mechanical deformation close to the failure zone, which could have been generated during the attempts to unclog the CT. Additionally, external corrosion near the failure zone in the CT was observed. Analysis of the collapse pressure in relation to the CT ovality indicated that the collapse pressure was significantly affected by ovality, and as the ovality increased, the collapse pressure decreased noticeably. Different collapse modes are obtained and discussed. The effects of the ovality on the collapse pressure are discussed. The collapse responses of CT subjected to external pressure and tension forces were studied using Finite Element Method (FEM). The failure of the CT after becoming trapped in the oil well was attributed to the combined effect of a series of operations carried out to recover the CT string, which was trapped at a depth of 6,750 m. It is inferred that these operations, combined with the fatigue experienced by the CT due to physical deterioration from spooling and unspooling, contributed to mechanical damage, deformation, and finally the collapse of the CT.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 1","pages":"Article 100303"},"PeriodicalIF":4.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996437","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":"Tree-based machine learning models for predicting the maximum depth of corrosion defects based on historical in-line inspection data","authors":"Eyad Abdullah Alshaye , Atif Saeed AlZahrani , Abduljabar Qassam Al-Sayoud , Md Shafiullah","doi":"10.1016/j.jpse.2025.100308","DOIUrl":"10.1016/j.jpse.2025.100308","url":null,"abstract":"<div><div>Oil and gas pipelines are the primary means of fluid transportation in the industry due to their efficiency, reliability, and cost-effectiveness. However, pipeline corrosion poses significant risks, leading to loss of containment, operational interruptions, and potential loss of life if undetected or unmitigated. The introduction of novel and corrosive fluid, such as hydrogen and carbon dioxide (CO<sub>2</sub>), is expected to exacerbate corrosion-related issues. Consequently, pipeline inspection techniques, particularly in-line inspection (ILI), are increasingly vital for corrosion monitoring. This paper establishes a framework for utilizing ILI data to develop machine learning models for corrosion prediction. Four tree-based machine learning techniques—eXtreme Gradient Boosting (XGBoost), Dropouts meet multiple Additive Regression Trees (DART), Light Gradient-Boosting Machine (LightGBM) with linear trees, and random forests—were employed to predict the maximum depth of corrosion defects based exclusively on historical ILI data. All models significantly outperformed the Naïve forecasting benchmark, with the best model achieving a root mean square error (RMSE) of 0.368 mm on the test set, surpassing the benchmark by 41.5 %. Furthermore, the accuracy of these models exceeded that of most service-based corrosion prediction models in the literature. This was achieved using an ILI dataset that exhibited extreme variations in maximum depth distribution and changes in reporting criteria. These findings indicate that the proposed framework is a superior alternative to service-based models, leveraging the vast amount of ILI data available to pipeline operators. Additionally, the service-agnostic framework supports the integration of process and service parameters, further enhancing the efficacy of machine learning models for corrosion prediction.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 1","pages":"Article 100308"},"PeriodicalIF":4.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996502","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}
Weibiao Qiao , Luyao Shi , Nan Huang , Yuqin Wang , Xinjun Yang
{"title":"Natural gas demand prediction: comprehensive overview of the current situation and future development direction","authors":"Weibiao Qiao , Luyao Shi , Nan Huang , Yuqin Wang , Xinjun Yang","doi":"10.1016/j.jpse.2025.100319","DOIUrl":"10.1016/j.jpse.2025.100319","url":null,"abstract":"<div><div>Natural gas demand (NGD) forecasting can accurately estimate the gas demand, and help to plan the gas source configuration, pipeline network transportation and gas storage arrangements in advance, so as to achieve effective matching between supply and demand. Therefore, the accurate prediction of NGD is the basis for realizing intelligent dispatching, which is of great significance in the NGD management system. This paper collates pertinent research literature on NGD forecasting from 2011 to the present and examines and analyses the various scopes, cycles, and models of NGD prediction. This section first displays an overview of the scope of NGD forecasting projections in recent years, including global, national, regional, and local levels (e.g., by province, city, state, or enterprise), as well as household users. Secondly, it divides the forecasting cycle into short-term expectations (i.e., forecasts made on an hour-by-hour or daily basis) and medium-term forecasts (i.e., weekly or monthly forecasts). In addition, the paper analyses the mainstream forecasting direction in recent years, examines the methods of using and processing raw data, and explores the forecasting models, analyzing the difference between single and combined forecasting models. Finally, it considers how to select forecasting models. Furthermore, as NGD forecasting continues to present numerous challenges and deficiencies in both theoretical and practical terms, this article examines some of the key issues currently facing NGD forecasting. The article concludes with a summary of the current research status and an analysis of the future improvement and development direction of NGD forecasting.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 1","pages":"Article 100319"},"PeriodicalIF":4.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996504","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}
Qi Nie , Jianlu Zhu , Hang Cao , Liang Hao , Yuxing Li
{"title":"Study on the influence of operating parameters on the formation of methane hydrate in rotating packed bed","authors":"Qi Nie , Jianlu Zhu , Hang Cao , Liang Hao , Yuxing Li","doi":"10.1016/j.jpse.2025.100266","DOIUrl":"10.1016/j.jpse.2025.100266","url":null,"abstract":"<div><div>The use of methane hydrate for offshore oilfield associated gas recovery is a very promising way of energy conservation and emission reduction, which is conducive to alleviating global warming. Rotating packed bed is a new device for recovering associated gas in offshore oilfields due to its unique advantages such as fast heat and mass transfer rate and light weight. In this paper, the effects of kinetic promotor sodium dodecyl benzene sulfonate (SDBS), thermodynamic accelerator tetrahydrofuran (THF), pressure and high gravity factor on the formation of methane hydrate in rotating packed bed were investigated. The results show that SDBS, THF and pressure all promote the formation of methane hydrate, while the gravity factors can either promote or inhibit hydrate formation. The research results of this paper are helpful to open up a new method of associated gas in offshore oil fields, and lay a foundation for the application of methane hydrate generated by rotating packed bed to recover associated gas in oil fields.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"6 1","pages":"Article 100266"},"PeriodicalIF":4.9,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145996465","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}
Ki-Wan Seo , Jae-Yoon Kim , Yun-Jae Kim , Ki-Seok Kim
{"title":"Combined ductile-brittle fracture simulation of API X80 under impact loading","authors":"Ki-Wan Seo , Jae-Yoon Kim , Yun-Jae Kim , Ki-Seok Kim","doi":"10.1016/j.jpse.2025.100295","DOIUrl":"10.1016/j.jpse.2025.100295","url":null,"abstract":"<div><div>This study explores finite element (FE) simulation of the combined ductile-brittle fracture behavior of API X80 steel under impact loading, incorporating the influences of strain rate and adiabatic heating. The Johnson-Cook (J-C) deformation model is employed for deformation analysis, while ductile fracture is modeled using the J-C fracture strain model, and brittle fracture is captured using a critical stress model. Temperature-dependent parameters for the J-C model were calibrated through smooth round bar (SRB) tests conducted at varying temperatures, while strain rate-dependent parameters were identified using the Charpy V-notch (CVN) impact test at room temperature (RT). Additionally, the critical stress model for brittle fracture was determined via FE simulation of CVN tests at RT. The calibrated deformation and combined fracture models were applied to simulate both CVN and drop-weight tear test (DWTT) over a temperature range of −120 °C to 0 °C. The simulations accurately captured deformation behavior, load-displacement curves, and fracture surfaces. Sensitivity analyses highlighted the roles of adiabatic heating and strain rate effects in fracture behavior.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 4","pages":"Article 100295"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753887","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}
Marcos Sánchez , Nevena Marinova , Elena Silveira , Nicolas Larrosa
{"title":"Standards and codes for hydrogen in pipeline infrastructure: testing, qualification, and integrity assessment","authors":"Marcos Sánchez , Nevena Marinova , Elena Silveira , Nicolas Larrosa","doi":"10.1016/j.jpse.2025.100296","DOIUrl":"10.1016/j.jpse.2025.100296","url":null,"abstract":"<div><div>This paper presents a comprehensive review of standards and codes for testing, qualifying, and assessing metallic materials and pipeline infrastructure for hydrogen service, with a view to shed light on the gaps and limitations of current procedures for repurposing EU natural gas infrastructure to hydrogen service. Current standards provide a foundational framework for the qualification of materials in hydrogen-rich environments; however, significant gaps persist in addressing the unique challenges posed by hydrogen-natural gas mixtures. This review explores standards for material testing, qualification methods in codes and standards, and design criteria for hydrogen service, with a critical emphasis on structural integrity assessment. Through a detailed analysis of the different documents, the study has identified limitations in existing testing methods and protocols, including insufficient harmonization, vague testing specifications, and an absence of guidelines for evaluating materials in blended environments. Findings highlight an urgent need for harmonization of procedures to facilitate consistent methodologies across different countries in the EU and beyond, as well as for providing the necessary knowledge in terms of design, testing and assessment methods for the hydrogen-natural gas infrastructure. To address these gaps, this review proposes targeted research areas that can support future updates of standards and codes, contributing to safer, more efficient, and globally aligned approaches to hydrogen blending.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 4","pages":"Article 100296"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753888","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":"A review of cavitation problems of cryogenic fluids in gathering pipelines","authors":"Di Ao , Yuxing Li , Cuiwei Liu","doi":"10.1016/j.jpse.2025.100269","DOIUrl":"10.1016/j.jpse.2025.100269","url":null,"abstract":"<div><div>As the market share of clean energy such as liquefied natural gas (LNG) and liquid hydrogen gradually increases, cryogenic fluid transportation pipeline system applications are becoming more and more common. In pipeline systems, a sudden change in cross-section leads to a sudden increase in the flow rate of cryogenic fluids and a sudden drop in local pressure. When the local pressure is lower than the saturation vapor pressure at that temperature, bubbles are generated and cavitation occurs. Cavitation damage caused by cavitation of cryogenic fluids is the main cause of leakage and even failure of pipeline transportation systems. Understanding the unsteady characteristics and mechanisms of cavitation in cryogenic fluids is crucial for accurately predicting and preventing cavitation, ensuring the safe and stable operation of pipeline systems. Compared with water, the ratio of liquid-vapor phase density and thermal conductivity of cryogenic fluids are smaller, and the saturated vapor pressure is more sensitive to temperature, so the cavitation mechanism is more complicated. This article reviews the research progress of numerical calculation, flow field characterization, cavitation damage properties and inhibition methods of cryogenic fluids cavitation, focusing on the inhibition of cryogenic cavitation by thermal effects and the classification and modification of cavitation models. In addition, this article discusses the morphological characteristics, unsteady state properties and the complexity of the cavitation flow field of cryogenic fluids cavitation. Finally, the outlook and challenges of the current research on cryogenic fluids cavitation are further summarized, and it is proposed that the exploration of cryogenic cavitation fluid-solid coupling, the microscopic simulation of cavitation bubbles, and the strengthening of the dynamic measurement capability of the flow field are the important directions for the further research on cryogenic cavitation of pipelines in the future.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 4","pages":"Article 100269"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753881","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}
Xiusai Xu , Yan Wang , Hao Zhang , Cailin Wang , Cuiwei Liu , Xiusong Huang , Yuxing Li
{"title":"Effect of gas impurities on the dissociative adsorption of hydrogen on Fe(100) surface of pipeline steel","authors":"Xiusai Xu , Yan Wang , Hao Zhang , Cailin Wang , Cuiwei Liu , Xiusong Huang , Yuxing Li","doi":"10.1016/j.jpse.2025.100284","DOIUrl":"10.1016/j.jpse.2025.100284","url":null,"abstract":"<div><div>As common impurities in natural gas and hydrogen compatibility experiments, oxygen (O<sub>2</sub>) and water (H<sub>2</sub>O) have a significant impact on hydrogen compatibility of pipeline materials. The competition among gas molecules primarily occurs on the metal surface, where differences exist in the adsorption states of these gases. However, the mechanisms underlying their effects on hydrogen dissociative adsorption remain unclear. In this study, density functional theory (DFT) and first-principles molecular dynamics (FPMD) calculations were employed to model the adsorption of H<sub>2</sub>, O<sub>2</sub>, and H<sub>2</sub>O on Fe(100) surface. The aim was to elucidate the mechanisms by which O<sub>2</sub> and H<sub>2</sub>O affect hydrogen dissociative adsorption and to clarify the dynamics of the hydrogen dissociation process. The results reveal that O<sub>2</sub> exhibits high adsorption and dissociation activity. The adsorbed O atoms increase the energy barrier for hydrogen dissociative adsorption and weaken the interaction between hydrogen and iron atoms. In contrast to strong inhibitory effect of O<sub>2</sub>, H<sub>2</sub>O presents a more complex behavior. On one hand, H<sub>2</sub>O can physically adsorb onto the pipeline surface, and reduces the stability of subsequently adsorbed H atoms without inhibiting hydrogen dissociation. On the other hand, charge exchange between H<sub>2</sub>O molecule and substrate atoms causes the Fe surface to acquire a negative charge. This charge redistribution decreases the surface potential, making the steel more prone to corrosive cathodic hydrogen precipitation reactions, thereby promoting hydrogen entry. This study provides valuable insights into the mechanisms of competitive adsorption of impurity gases on pipeline steel surfaces, enhancing the understanding of hydrogen-material compatibility in pipeline systems.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 4","pages":"Article 100284"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753883","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}
Guangyu Liu , Xinxin Fan , Cailin Wang , Xuefeng Zhao , Lan Meng , Qihui Hu , Yuxing Li
{"title":"Effect of phase change on corrosion behavior of X65 steel in CO2 transportation pipeline environment","authors":"Guangyu Liu , Xinxin Fan , Cailin Wang , Xuefeng Zhao , Lan Meng , Qihui Hu , Yuxing Li","doi":"10.1016/j.jpse.2025.100262","DOIUrl":"10.1016/j.jpse.2025.100262","url":null,"abstract":"<div><div>Phase change is inevitable in long-distance CO<sub>2</sub> transport pipelines. In this study, an in-situ electrochemical noise monitoring device was constructed to study the effect of phase change on corrosion kinetics of pipeline steel. The results show that the phase change leads to the change of ion concentration in the adsorbed or precipitated liquid film and modifies the structure of the corrosion product layer. The formation of a “blocked battery” was identified as the primary cause of severe corrosion deterioration. SEM characterization and ion concentration calculation further validated the mechanism of CO<sub>2</sub> phase change exacerbating corrosion.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 4","pages":"Article 100262"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753788","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}
Jie Huang , Rui Li , Yanshan Li , Kuan Fu , Pengchao Chen
{"title":"Development and simulation analysis of a novel flexible deformation inspection units (FDIU) for oil and gas pipelines","authors":"Jie Huang , Rui Li , Yanshan Li , Kuan Fu , Pengchao Chen","doi":"10.1016/j.jpse.2025.100290","DOIUrl":"10.1016/j.jpse.2025.100290","url":null,"abstract":"<div><div>Oil and gas pipelines are essential for energy transportation, and their integrity is critical for safety and efficiency. Deformations such as dents can lead to failures, necessitating regular condition monitoring. Traditional methods for detecting dents have limitations in accuracy and reusability. This paper introduces a novel flexible deformation inspection units (FDIU) that addresses these limitations. The design reduces operational requirements for pipeline differential pressure and equipment possibility, offering a simpler structure with repeatability and effective pipeline inspection method. The paper’s structure includes an analysis of the mechanical model of the FDIU, development of the FDIU model using ABAQUS finite element software, and simulations to investigate internal stress, strain distribution, and displacement changes as the FDIU interacts with pipeline dents. The study also examines the impact of the FDIU’s relative position to defects and material hardness on its mechanical performance. The findings indicate that the new design provides a reliable and accurate method for detecting pipeline deformations, with implications for improved pipeline maintenance and safety.</div></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"5 4","pages":"Article 100290"},"PeriodicalIF":4.9,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145753886","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}