Journal of Pipeline Science and Engineering最新文献

{"title":"Leakage of gasoil from side cut piping in crude distillation unit of a petroleum refinery","authors":"Chidambaram Subramanian","doi":"10.1016/j.jpse.2021.05.001","DOIUrl":"10.1016/j.jpse.2021.05.001","url":null,"abstract":"<div><p>This paper reports failure of elbow from side cut piping after three years of refinery gasoil service and piping metallurgy was SS316L austenitic stainless steel. Systematic investigations including visual inspection coupled with laboratory studies were carried out to determine the cause of failure. The samples from failure location were examined for chemical analysis, hardness, fractography, elemental analysis and metallographic evaluation. Further, crude feedstock was evaluated as well. Various characterization studies concluded that presence of material defect encapsulated in elbow prior to start of initial distillation column (side cut piping) operation was the root cause of failure. Localized stresses induced from internal pressure act on remaining wall thickness have lead to brittle fracture and resulted in gasoil leakage. The existence of material defect in failed elbow prior to initial operation had revealed poor pre-commissioning inspection practice. The origination of detected material defect was discussed and similar leakages shall be avoided by defect free piping components provided with proper support system at critical piping locations. The results in this article intended for petroleum refinery piping/energy pipeline operators for use of qualified piping components at critical locations especially during plant/piping commissioning stage.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 1","pages":"Pages 97-108"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jpse.2021.05.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"93360012","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":"A review of multiproduct pipeline scheduling: from bibliometric analysis to research framework and future research directions","authors":"Zhengbing Li ,&nbsp;Yongtu Liang ,&nbsp;Qi Liao ,&nbsp;Bo Zhang ,&nbsp;Haoran Zhang","doi":"10.1016/j.jpse.2021.08.001","DOIUrl":"10.1016/j.jpse.2021.08.001","url":null,"abstract":"<div><p>Multiproduct pipelines play an important role in ensuring the downstream energy supply as they transport about 70% of refined products. To guarantee the safe and stable operation of pipelines during the scheduling horizon, it is necessary to make a reasonable schedule. During the past two decades, the multiproduct pipeline scheduling problem has been widely studied in the world. In this paper, the bibliometric analysis method is adopted to conduct quantitative analysis and visual research on related literature. Then, through the review of the existing articles, the research framework of multiproduct pipeline scheduling problem is constructed. Finally, the research defects and trends are analyzed. The aim of the paper is to provide a comprehensive understanding of multiproduct pipeline scheduling as well as some directions and inspiration for the future research.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 395-406"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jpse.2021.08.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83301963","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":"Current technologies and the applications of data analytics for crude oil leak detection in surface pipelines","authors":"Francis Idachaba,&nbsp;Minou Rabiei","doi":"10.1016/j.jpse.2021.10.001","DOIUrl":"10.1016/j.jpse.2021.10.001","url":null,"abstract":"<div><p>Pipeline pressure monitoring has been the traditional and most popular leak detection approach, however, the delays with leak detection and localization coupled with the large number of false alarms led to the development of other sensor-based detection technologies. The Real Time Transient Model (RTTM) currently has the best performance metric, but it requires collection and analysis of large data volume which, in turn, has an impact in the detection speed. Several data mining (DM) methods have been used for leak detection algorithm development with each having its own advantages and shortcomings. Mathematical modelling is used for the generation of simulation data and this data is used to train the leak detection and localization models. Mathematical models and simulation software have also been shown to provide comparable results with experimental data with very high levels of accuracy. While the ANN and SVM require a large training dataset for development of accurate models, mathematical modelling has been shown to be able to generate the required datasets to justify the application of data analytics for the development of model-based leak detection systems for petroleum pipelines. This paper presents a review of key leak detection strategies for oil and gas pipelines, with a specific focus on crude oil applications, and presents the opportunities for the use of data analytics tools and mathematical modelling for the development of a robust real time leak detection and localization system for surface pipelines. Several case studies are also presented.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 436-451"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000615/pdfft?md5=b489b27419f839da52bef7591b8893fa&pid=1-s2.0-S2667143321000615-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82473370","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":"A non-tuned machine learning method to simulate ice-seabed interaction process in clay","authors":"Hamed Azimi,&nbsp;Hodjat Shiri,&nbsp;Eduardo Ribeiro Malta","doi":"10.1016/j.jpse.2021.08.005","DOIUrl":"10.1016/j.jpse.2021.08.005","url":null,"abstract":"<div><p>Exploitation of oil and gas in the Arctic area is expected to expand in the coming years. These hydrocarbons are transferred through subsea pipelines from offshore to onshore; however, the marine pipelines are threatened by traveling icebergs where the seabed may be gouged by the moving masses in warmer months. Subsea trenching and backfilling are usually utilized to bury the subsea pipelines for physical protection against the ice scouring. Regarding the stress-based design methods, deformations and forces are generally the controlling design factors for the subsea assets. In this study, the subgouge clay displacements and the reaction forces were simulated using a non-tuned self-adaptive machine learning (ML) entitled “self-adaptive extreme learning machine” (SAELM). Initially, fifteen SAELM models were defined by means of the parameters affecting the ice-scoured features. Subsequently, 70% and 30% of the constructed dataset were respectively applied to train and test the ML models. After that, the optimum number of hidden layer neurons and the best activation function were selected for the SAELM network. By conducting a comprehensive sensitivity analysis, the premium SAELM models and the most influencing input parameters in estimation of the subgouge clay characteristics were introduced. Regarding the performed analyses, the horizontal load factor and the gouge depth ratio were identified as the most influential parameters to model the reaction forces, whereas the soil depth had a significant impact for simulation of the ice-induced clay deformations. Finally, a set of SAELM-based equations were presented to estimate the subgouge clay parameters.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 379-394"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000597/pdfft?md5=ac4a3cf6bfe071a5d18dd413faf95cc3&pid=1-s2.0-S2667143321000597-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75405573","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":"An insight into asphaltene precipitation, deposition and management stratagems in petroleum industry","authors":"Festus M. Adebiyi","doi":"10.1016/j.jpse.2021.08.006","DOIUrl":"10.1016/j.jpse.2021.08.006","url":null,"abstract":"<div><p>Petroleum industry is the mainstay of the economical enlargement of many nations. Most of the market prices of all commodities are built on the cost of wide-range of petroleum products. Prompt identifying and alleviating challenges facing this sector can reduce costs and enhance productivity and economic growths. Asphaltene deposition, a crucial operational challenge in some petroleum production facilities is one of the key challenges facing petroleum sector universally. Asphaltene clogs pipelines as cholesterols block blood vessels; this has made asphaltene deposition management a principal factor to consider before establishing any petroleum producing company. Therefore, in order to guarantee urbane and uninterrupted movement of petroleum to the consumers, it is vital for the field Operators, Engineers and Chemist to be pipeline deposition conscious as lines would suffer degradation owing to asphaltene precipitation, aggregation and eventual deposition. There are documented literatures on asphaltene, but almost new information is disseminated in literature or occurs in the brains of experts comparable to silent knowledge. The mission of this review paper is to publicize the information and close some knowledge-breaks. This particular article provides an inclusive appraisal of asphaltene interaction, precipitation, deposition, challenges and management stratagems. Besides, it provides a conclusion and prised recommendations.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 419-427"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000603/pdfft?md5=745f469a8f727864f3206a0989609683&pid=1-s2.0-S2667143321000603-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91455686","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":"Optimization and intelligent control for operation parameters of multiphase mixture transportation pipeline in oilfield: A case study","authors":"Hankun Wang,&nbsp;Yunfei Xu,&nbsp;Bowen Shi,&nbsp;Chaoliang Zhu,&nbsp;Zhihua Wang","doi":"10.1016/j.jpse.2021.07.002","DOIUrl":"10.1016/j.jpse.2021.07.002","url":null,"abstract":"<div><p>In order to achieve the purpose of efficient, safe and reliable operation, it has become the development trend and direction to build an intelligent oilfield transportation pipeline network with big data analysis, comprehensive situation awareness and automatic control and management capabilities in the future. In this paper, Supervisory Control and Data Acquisition (SCADA) system was used to collect the production and operation data of an oilfield in Western China. The thermal and hydraulic models have been corrected based on these collected data. Then, the influence factors of thermal characteristics of several categories of pipelines were analyzed, and the critical temperature gradient of various categories of pipelines was obtained by interpolating fitting method. Furthermore, the optimal operation conditions of the transportation pipelines were obtained, and the universal relationship of pipeline operation parameters was established as well. The results indicated that the corrected models can predict the temperature drop and pressure drop of multiphase mixture transportation pipeline well, liquid flow rate, water cut and initial temperature do have obvious influences on pipeline operation parameters, and the universal relationship of pipeline operation parameters can effectively guide the production practice of oilfield. However, the operation parameters optimization universal relationship cannot meet the requirements of personalized control of all pipelines. Therefore, this paper proposed an intelligent control strategy for multiphase mixture transportation pipeline in oilfield. This case study is of great significance to guide the optimization of operation parameters and ensure high efficiency and safe operation of multiphase mixture transportation pipelines in oilfield.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 367-378"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jpse.2021.07.002","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78024978","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":"An evaluation index system of the user satisfaction for the natural gas pipeline network","authors":"Weihe Huang ,&nbsp;Yichen Li ,&nbsp;Weichao Yu ,&nbsp;Haitao Yu ,&nbsp;Xiangying Shan ,&nbsp;Hao Wang ,&nbsp;Jing Gong","doi":"10.1016/j.jpse.2021.11.001","DOIUrl":"10.1016/j.jpse.2021.11.001","url":null,"abstract":"<div><p>With the intent of making up for the lack of gas supply reliability in evaluating the ability of the natural gas pipeline network to provide users with gas supply services, the concept of the user satisfaction for the natural gas pipeline network is proposed in this study. The definition of the user satisfaction is firstly illustrated and the relationship and difference between gas supply reliability and user satisfaction are clarified from two aspects of definition and mathematical expression. The evaluation index system of the user satisfaction for the natural gas pipeline network is then constructed, which includes six indicators, namely user satisfaction for gas amount, user satisfaction for gas pressure, user satisfaction for gas quality, user satisfaction for gas supply strategy, user satisfaction for emergency, and user satisfaction for gas price. The process of determining the weight of each indicator based on the analytic hierarchy process method is proposed. Moreover, considering the user characteristics, natural gas users are classified into four types, namely the users whose demand need to be fully satisfied, the users whose demand can be shed by a small amount, the users whose demand can be shed, and the users whose demand can be interrupted. The results of the weight of each indicator for the above four types of the natural gas users are calculated.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 452-458"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000627/pdfft?md5=309bd298d1230e0a7d2dd6430c16574c&pid=1-s2.0-S2667143321000627-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86207554","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":"Planning of a flexible refined products transportation network in response to emergencies","authors":"Bohong Wang ,&nbsp;Jiří Jaromír Klemeš ,&nbsp;Xiao Yu ,&nbsp;Rui Qiu ,&nbsp;Jianqin Zheng ,&nbsp;Yuming Lin ,&nbsp;Baikang Zhu","doi":"10.1016/j.jpse.2021.12.004","DOIUrl":"10.1016/j.jpse.2021.12.004","url":null,"abstract":"<div><p>The stable supply of refined products is a vital measure to maintain national security and economic development. However, unexpected accidents and incidents, such as pipeline failures, natural hazards, and even this Covid-19 period can disrupt the supply of refined products to the end-users, leading to shortages on the demand side. This issue should be considered in advance in the planning process to increase transportation flexibility. In this paper, a MILP model-based method is proposed to increase the operational flexibility of refined products transportation. This model takes into account several failure conditions of routes during the transportation process and determines the backup transport route plans. The illustration case study demonstrates how to build a more flexible refined products transportation process through expanding transport and sending capacities to satisfy the demand for refined products in market depots. The results show that the capacity expansion plans are different when disruptions are individually and simultaneously considered, a 33.60% difference in the expansion cost. The proposed method could be helpful to ensure the supply of retail markets when facing emergencies.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 468-475"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000792/pdfft?md5=870b85354e87a196443a6ccf4be32713&pid=1-s2.0-S2667143321000792-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82560930","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":"Determination of boundary temperature and intelligent control scheme for heavy oil field gathering and transportation system","authors":"Chaoliang Zhu,&nbsp;Xiaoyu Liu,&nbsp;Yunfei Xu,&nbsp;Wenbo Liu,&nbsp;Zhihua Wang","doi":"10.1016/j.jpse.2021.09.007","DOIUrl":"10.1016/j.jpse.2021.09.007","url":null,"abstract":"<div><p>Heavy oil gathering and transportation system is increasingly attention and the realization of intelligent control has become the oilfield development direction and trend in the future. In this paper, boundary temperature is defined as safe inlet temperature and optimal oil transportation temperature. The intelligent supervisory control and data acquisition system was used to collect the production data of an oilfield in Western China in real-time. The heavy oil transportation pipeline was divided into 9 types through big data analysis. The safe inlet temperature under different conditions was determined by flow loop experiments. Then the total heat transfer coefficient was corrected by the least square method, and the optimal oil transportation temperature was calculated by the mathematical model. The results indicated that the relationship of the temperature drop along the pipeline could be more accurately predicted by the modified total heat transfer coefficient. Heavy oil field gathering and transportation system had low-temperature transportation potential in summer and winter. Liquid production, water cut, and the ambient temperature had a significant effect on the temperature gradient and safe inlet temperature. The heavy oil with high liquid production and high water cut had the greatest potential for low-temperature transportation. An oilfield intelligent control and management scheme is proposed to effectively guide heavy oil production. This study is of great significance to guide the optimization of operation parameters of heavy oil field gathering and transportation system, realize energy saving and consumption reduction, and ensure the efficient and stable operation of the pipeline.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 407-418"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000573/pdfft?md5=4331a37ecac27afe4ccf341db7a1ea9e&pid=1-s2.0-S2667143321000573-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82482960","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":"Predictions for wax deposition in a pipeline carrying paraffinic or ‘waxy’ crude oil from the heat-transfer approach","authors":"Anil K. Mehrotra,&nbsp;Samira Haj-Shafiei,&nbsp;Sina Ehsani","doi":"10.1016/j.jpse.2021.09.001","DOIUrl":"10.1016/j.jpse.2021.09.001","url":null,"abstract":"<div><p>The heat-transfer mechanism for solid deposition from ‘waxy’ or paraffinic oils and mixtures has been developed and validated through several experimental and modeling investigations over the past three decades. This modeling approach considers the transient, unsteady-state wax deposition process to involve (partial) freezing with liquid-to-solid phase transformation, which has been modeled via the Stefan moving (or free) boundary problem formulation. The steady-state deposit thickness is predicted from a model that equates the heat-transfer rate in the radial direction across as many as five thermal resistances in series, including the flowing oil (convective), the deposit layer (conductive), the pipe wall (conductive), an insulation layer (conductive), and the coolant or surroundings (convective). Of these, the two predominant thermal resistances are due to convection in the flowing oil and conduction across the deposit layer. Calculation results are presented to systematically demonstrate the effect of key parameters on the steady-state deposit thickness in a pipeline carrying a paraffinic or ‘waxy’ crude oil in the hot flow regime. Numerical predictions for the deposit thickness, in the radial direction, highlight the effects of flowing oil temperature, the surrounding or coolant temperature, the heat transfer coefficient for the flowing oil, the inner radius of pipeline, the deposit average thermal conductivity, pipe-wall thermal conductivity, insulation thermal conductivity, and the wax appearance temperature of waxy oil. Also included are the predictions that demonstrate the deposit thickness does not depend directly on the overall thermal driving force or temperature difference. All parameters in the heat-transfer calculations are either measured directly or can be estimated from established predictive techniques; that is, the model does not involve any adjusted parameter.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"1 4","pages":"Pages 428-435"},"PeriodicalIF":0.0,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000512/pdfft?md5=2b2d4cd9e49b07163608f5400d8cff9d&pid=1-s2.0-S2667143321000512-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90839504","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}