Journal of Pipeline Science and Engineering最新文献

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

{"title":"Framework for Generating Pipeline Leak Datasets using PIPESIM","authors":"F. Idachaba, Olusegun Tomomewo","doi":"10.1016/j.jpse.2023.100113","DOIUrl":"https://doi.org/10.1016/j.jpse.2023.100113","url":null,"abstract":"","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"152 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84201817","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":"Iceberg-seabed interaction evaluation in clay seabed using tree-based machine learning algorithms","authors":"Hamed Azimi ,&nbsp;Hodjat Shiri ,&nbsp;Masoud Mahdianpari","doi":"10.1016/j.jpse.2022.100075","DOIUrl":"10.1016/j.jpse.2022.100075","url":null,"abstract":"<div><p>In Arctic offshore regions, the oil and gas hydrocarbons are transferred to the onshore basins through the subsea pipelines. However, the operational integrity of the subsea pipeline may be at risk of collision with traveling icebergs, which gouge the seabed in the Arctic shallow waters. Even though these sea bottom-founded structures are buried at a secure depth below the seafloor, the pipeline is still threatened by the ice scouring event extended much deeper than the ice tip due to the shear resistance of the seabed soil. Modeling the sub-gouge soil characteristics is a challenging problem that requires costly experimental and long-running finite element (FE) simulations. To overcome these challenges, in this paper, the reaction forces and sub-gouge soil deformations in clay were modeled using an advanced extra tree regression (ETR) algorithm, as a quick and cost-effective alternative for the early design phases of pipeline engineering projects. Eight ETR models, ETR 1 to ETR 8, were developed by using the input parameters governing the iceberg-seabed interaction problem. The collected data were randomly split into 70% for training the machine learning (ML) models and 30% for testing purposes. The most accurate ETR models and the most significant input parameters were identified by performing a sensitivity analysis. The comparison of the most accurate ETR models and decision tree regression (DTR), random forest regression (RFR), and gradient boosting regression (GBR) algorithms proved that the ETR models had better performance to simulate the ice keel seabed interaction in clay.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 4","pages":"Article 100075"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000476/pdfft?md5=d6a69ba337789792bf15a7b1d087c26d&pid=1-s2.0-S2667143322000476-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90212909","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}

{"title":"Artificial neural network models of burst strength for thin-wall pipelines","authors":"Xian-Kui Zhu,&nbsp;William R. Johnson,&nbsp;Robert Sindelar,&nbsp;Bruce Wiersma","doi":"10.1016/j.jpse.2022.100090","DOIUrl":"10.1016/j.jpse.2022.100090","url":null,"abstract":"<div><p>Burst strength is critical to pipeline design, operation, and integrity management. The Barlow formula with the ultimate tensile stress (UTS) was often used to estimate burst strength of line pipes. To consider the plastic flow effect of pipeline steels, an average shear stress yield criterion was proposed, and the associated Zhu-Leis solution of burst strength was obtained for defect-free pipelines in term of UTS and strain hardening exponent, <em>n</em>, of materials. The Zhu-Leis solution was validated by more than 100 burst tests for various pipeline steels. The Zhu-Leis solution, when normalized by the Barlow strength, is a function of strain hardening rate, <em>n</em>, only. In contrast, experimental burst test data, when normalized by the Barlow strength, are a weak function of UTS and pipe diameter to thickness ratio <em>D</em>/<em>t</em>, in addition to be the function of <em>n</em>. Due to the difficulty of obtaining a closed-from solution using three-parameter regression, machine learning technology is adopted to develop alternative models of burst strength based on a large database of full-scale burst tests. In comparing to the regression, the machine learning method works well for both single and multiple parameters by introducing an artificial neural network (ANN), activation functions and learning algorithm for the network to learn from training data and then make predictions. Three ANN models were developed in this paper for predicting the burst strength of defect-free pipelines. Model 1 has one input variable and one hidden layer with three neurons; Model 2 has three input variables and one hidden layer with five neurons; and Model 3 has three input variables and two hidden layers with three neurons for the first hidden layer and two neurons for the second hidden layer. These three ANN models were then validated by the full-scale test data and evaluated through comparison with the Zhu-Leis solution and the linear regression results. On this basis, the best ANN model was recommended.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 4","pages":"Article 100090"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000622/pdfft?md5=11c58be76c0df0bbd93eb84625a6c0e6&pid=1-s2.0-S2667143322000622-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78841971","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}

{"title":"Experimental and numerical study on the flow characteristics of slug flow in a horizontal elbow","authors":"Xuewen Cao ,&nbsp;Pan Zhang ,&nbsp;Xiang Li ,&nbsp;Zheng Li ,&nbsp;Qianrong Zhang ,&nbsp;Jiang Bian","doi":"10.1016/j.jpse.2022.100076","DOIUrl":"10.1016/j.jpse.2022.100076","url":null,"abstract":"<div><p>Elbow is one of the most accident-prone locations in multiphase flow lines, and understanding the flow field is the key to manage the risk. In the meantime, the flow characteristics of slug flow are most complicated in the flow field. To clarify the flow characteristics of slug flow at the elbow, the influence and mechanism of the elbow on the flow characteristics of slug flow under different superficial gas-liquid velocities were studied with experiments and numerical simulations. A set of transparent loops with gas-liquid two phase flow was built. High-speed camera, pressure sensor, Doppler velocimeter and wire mesh sensor were used to collect flow pattern, pressure, slug velocity and gas-liquid distribution characteristics. In the meantime, the multi-fluid volume of fluid (VOF) model was used in the CFD simulations, and the simulation results were compared against the experimental results for verification. The results showed that the void fraction is highest at the inlet and lowest at the middle position, and the pressure and flow velocity at the extrados were higher than those at the intrados of the elbow. With the increase of the superficial liquid velocity and gas velocity, the number of bubbles accumulated inside the horizontal elbow increased, the slug flow liquid film velocity of the horizontal elbow increased, and the secondary flow phenomenon weakened.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 4","pages":"Article 100076"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000488/pdfft?md5=06db1547a369cdd3034bb21f6efd0ce3&pid=1-s2.0-S2667143322000488-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78215532","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}

{"title":"Review and analysis of pipeline leak detection methods","authors":"Naga Venkata Saidileep Korlapati ,&nbsp;Faisal Khan ,&nbsp;Quddus Noor ,&nbsp;Saadat Mirza ,&nbsp;Sreeram Vaddiraju","doi":"10.1016/j.jpse.2022.100074","DOIUrl":"10.1016/j.jpse.2022.100074","url":null,"abstract":"<div><p>A pipeline burst or rupture causing a leak may significantly impact the environment and the reputation of the company operating the pipeline. In recent years, oil and gas pipelines are expected to be equipped with leak detection systems for monitoring the operations and detecting the leaks. Although the leak detection methods used today may not prevent leaks from happening, they play a crucial role in limiting the impact of leak. There is a wide variety of leak detection methods developed and tested. This paper reviews these methods, analyze their advantages and limitations. It ends by highlighting the opportunities for future work to improve reliability and adaptability of leak detection methods in subsea region.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 4","pages":"Article 100074"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000464/pdfft?md5=29ea7bdb67f48380ff375ca757635d58&pid=1-s2.0-S2667143322000464-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89527159","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}

{"title":"Drag reduction in single-phase crude oil flow: A mini-review","authors":"Farid Souas,&nbsp;Ahmed Salah Eddine Meddour","doi":"10.1016/j.jpse.2022.100088","DOIUrl":"10.1016/j.jpse.2022.100088","url":null,"abstract":"<div><p>It is well recognized that a major issue for fluid flows in many industrial pipe systems, including the transportation of crude oil, is the high energy consumption in the pipeline system brought on by significant pressure losses in turbulent flows. The reduction of apparent viscosity and drag are two important challenges in order to enhance crude oil flow conditions in long-distance pipelines. Chemical techniques are seen to be the most efficient and practical ways to handle these problems. The pressure drop through a pipeline can be decreased by adding a tiny quantity of drag-reducing agents (DRA) to the flow of crude oil, which is a commonly employed approach. As a result, the energy usage drops for a certain flow rate. In the field of reducing crude oil drag, polymer and surfactant additives have been extensively used for this purpose. Therefore, a literature review of published experimental work relating to drag reduction by DRA in single-phase crude oil flow is discussed in this paper in order to better understand the mechanism of the drag reduction phenomena in crude oil pipelines.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 4","pages":"Article 100088"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000609/pdfft?md5=a0ef075249890d344f27b258f1e8f66a&pid=1-s2.0-S2667143322000609-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80552800","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}

{"title":"Investigation on leakage detection and localization in gas-liquid stratified flow pipelines based on acoustic method","authors":"Xuejie Li ,&nbsp;Yuan Xue ,&nbsp;Huimin Du ,&nbsp;Linjing Yue ,&nbsp;Rui Ding ,&nbsp;Cuiwei Liu ,&nbsp;Yuxing Li","doi":"10.1016/j.jpse.2022.100089","DOIUrl":"10.1016/j.jpse.2022.100089","url":null,"abstract":"<div><p>Leakage detection technology is of vital importance to the safe operation and flow insurance of multiphase flow pipelines. This paper for the first time applies acoustic based leakage detection method to stratified flow pipelines and verifies the feasibility of this method in multiphase flow pipelines. Gas-liquid stratified flow pipeline leakage detection and localization experiment is conducted to investigate the effectiveness of different filtering methods when calculating the time difference (delay) between arrival times of leakage acoustic signals at different sensors using cross-correlation algorithm. Propagation characteristics of the leakage acoustic wave in stratified flow are also investigated. The results show that the 5-level Symlets wavelet filter can effectively improve the accuracy of time delay estimation. Moreover, the value of sound speed can be set as 346 m/s when carrying out leakage localization in stratified flow pipelines, which is nearly irrelevant with pressure, void fraction, superficial velocity of gas phase and the structure of pipe. The research in this paper lays a foundation for the application of acoustic based leakage detection technology in multiphase flow pipelines.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 4","pages":"Article 100089"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000610/pdfft?md5=5e7ff589dee140ed0453935979214272&pid=1-s2.0-S2667143322000610-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85621898","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}

{"title":"Prediction of properties on large diameter welded pipe: case study on 32″ × 16 mm X65 HSAW pipe","authors":"Steven Cooreman ,&nbsp;Dennis Van Hoecke ,&nbsp;Sandeep Abotula ,&nbsp;Hervé Luccioni ,&nbsp;Nikos Voudouris ,&nbsp;Athanasios Tazedakis","doi":"10.1016/j.jpse.2022.100071","DOIUrl":"10.1016/j.jpse.2022.100071","url":null,"abstract":"<div><p>Large diameter welded pipes are amongst the most cost-effective transportation means for oil and gas. The production of those pipes involves different cold forming steps, as a result of which the mechanical properties on pipe will be different from the plate or coil properties. The steel manufacturer has several parameters at hand to control the properties of his final product. However, the pipe manufacturer only has a narrow process window, but eventually he is responsible for the properties of his product, i.e. the pipe. Furthermore, for some pipeline applications, the properties in both the transverse and longitudinal pipe direction must be within certain limits. This paper presents a Finite Element model which allows simulating pipe forming and subsequent mechanical testing and thus could be adopted to predict pipe properties from coil/plate properties. The complex hardening behaviour exhibited by pipeline grades is described by an extended version of the Levkovitch-Svendsen model, a constitutive model which accounts for isotropic, kinematic and distortional hardening. To validate the model, numerical predictions were compared to experimental results obtained from mechanical tests conducted on 32″ × 16 mm X65 HSAW (Helical Submerged Arc-Welding) pipes. The properties on pipe were evaluated by means of ring expansion tests and tensile tests on (flattened) full-thickness dog-bone samples and non-flattened round bar samples. Furthermore, tensile tests were performed in the transverse and longitudinal pipe direction and tests were conducted before and after hydrotesting. In general, the numerical predictions are in good agreement with the experimental data.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 3","pages":"Article 100071"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000439/pdfft?md5=bc3e5ee623ff99d880f03219d10ca327&pid=1-s2.0-S2667143322000439-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82315460","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}

{"title":"Significance of separations occurring in mechanical testing of thermomechanical rolled pipeline steels","authors":"Sebastian Scholl,&nbsp;Andreas Schneider,&nbsp;Volker Schwinn","doi":"10.1016/j.jpse.2022.100070","DOIUrl":"10.1016/j.jpse.2022.100070","url":null,"abstract":"<div><p>In this study, the origin of separations is investigated in modern high strength pipeline steels. In-depth microstructure characterization and property correlation is used to demonstrate that preferred crystallographic planes are responsible for the generation of separations in thermomechanical rolled steels with high cleanliness. Further insights on the influence of crystallographic orientation are obtained by performing different types of standard and non-standard tests with specific specimen and notch orientations and evaluating the related crack propagation path. Finally, special texture components are identified, which determine whether in-plane fracture, splitting or deflection of the cleavage parts take place. This study assists in understanding the separation phenomenon in modern high strength pipeline steels across the different test methods. Furthermore, it amplifies that the separations in thermomechanical rolled steels with high steel cleanliness are inherently linked to the orientation of specific crystallographic planes and are not necessarily an indication of a poor material behavior.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 3","pages":"Article 100070"},"PeriodicalIF":0.0,"publicationDate":"2022-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000427/pdfft?md5=3c48d728e8983b3148b15509f5a4d779&pid=1-s2.0-S2667143322000427-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78284674","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}