{"title":"A methodology for time-varying resilience quantification of an offshore natural gas pipeline","authors":"Aghatise Okoro , Faisal Khan , Salim Ahmed","doi":"10.1016/j.jpse.2022.100054","DOIUrl":"10.1016/j.jpse.2022.100054","url":null,"abstract":"<div><p>Many resilience definitions and metrics have been presented across various disciplines in recent times. However, from a design and operations perspective, a limited effort is focused on quantifying the resilience of oil and gas support structures. This study proposes a methodology for structural resilience quantification of an offshore hydrocarbon pipeline. Resilience is modelled as a function of the structure’s time-dependent reliability, adaptability, and maintainability. The proposed model is demonstrated on an internally corroded offshore natural gas pipeline segment with multiple initial defects; and considers disruptive events arising from the leak, burst, and rupture failure modes. The resilience index and sensitivity analysis are evaluated for the offshore pipeline. The pipeline sensitivity analysis indicates the apparent effect of pipe wall thickness and defect depth growth rate on resilience over its design life. The outcome of this study provides an insight into the resilience quantification of structural systems considering multiple disruptive events. The proposed model is expected to serve as an essential tool for resilience evaluation during the design and operations of oil and gas structures.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 2","pages":"Article 100054"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000269/pdfft?md5=6bc83b747e9a504d3c3637963595ad4c&pid=1-s2.0-S2667143322000269-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90388197","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":"Identifying two-point leakages in parallel pipelines based on flow parameter analysis","authors":"Hao Fu, Kegang Ling, Hui Pu","doi":"10.1016/j.jpse.2022.02.001","DOIUrl":"10.1016/j.jpse.2022.02.001","url":null,"abstract":"<div><p>Parallel pipelines are widely used to transport energy resources. Leakages usually can occur in pipelines due to aging, corrosion, metal failure, etc. When an accident happened, not only the energy company would take the financial loss, but also it would cause pollution and safety issues to the local environment. Therefore, an efficient way to identify leakages in parallel pipelines is necessary to be proposed. In this study, ANSYS was used to simulate different leak scenarios in parallel pipelines. Fluid and pipe parameters were used to simulate different leak scenarios. In each leak scenario, there were different pressure drops along the leak pipeline based on leak locations and different flow rates. After determining there is more than a leak in pipelines, the relationship among pressure drops, leak locations, and flow rates can be used to build a mathematical model for detecting leaks. During the pipeline operations, the pressure drops were affected by leak locations and flow rates. Therefore, applying flow parameters in real leak scenarios to the mathematical model that is built from the parameters in the reality will identify the leak locations. In addition, lab experiments were applied to verify the validity of the simulations. The deviations between the experiments and simulations are less than 4%. The pressure drops through the leak pipe in the experiments and simulation vary from 1,955 to 2,898 Pa and 1,992 to 2,803 Pa, respectively. This research investigated a method to identify two-point leakages in parallel pipelines based on flow parameter analysis.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 2","pages":"Article 100052"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000154/pdfft?md5=837870c50357e6d155f8c4ae0c945626&pid=1-s2.0-S2667143322000154-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87021081","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":"Stochastic filter-based fatigue crack growth prediction for pipelines considering unknown model parameters and measurement uncertainty","authors":"Durlabh Bartaula, Samer Adeeb, Yong Li","doi":"10.1016/j.jpse.2021.11.005","DOIUrl":"https://doi.org/10.1016/j.jpse.2021.11.005","url":null,"abstract":"<div><p>In this study a methodology is developed and implemented in Python for fatigue crack growth prediction in pipelines, by leveraging measurement data and fatigue growth model predictions. Specifically, Particle Filter (PF) algorithm, Paris law, and the stress intensity factor (SIF) model in API 579 are integrated into a tool to use noisy crack size measurements for estimating the current crack size and fatigue model parameters, also known as joint state-parameter estimation. For illustration purpose, pseudo-data set for crack size measurements is generated considering additive Gaussian white noise of two different noise levels, aiming to mimic crack size data obtained from In-line Inspection (ILI) tools. It is found that the crack state can be reliably estimated compared to noisy measurements and initial model predictions, and the true model parameters can be updated with good accuracy. As such, the current crack size estimated and model parameters updated can be used in the fatigue growth model (i.e., Paris law) to predict the future trajectory of the fatigue crack growth. As more measurement data becomes available, the developed tool more reliably estimates the future crack growth trajectory.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 2","pages":"Article 100044"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000755/pdfft?md5=f4eb60506b7ae020d3ce615f3b2e6462&pid=1-s2.0-S2667143321000755-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91719402","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}
Mohammad Yazdi , Faisal Khan , Rouzbeh Abbassi , Noor Quddus
{"title":"Resilience assessment of a subsea pipeline using dynamic Bayesian network","authors":"Mohammad Yazdi , Faisal Khan , Rouzbeh Abbassi , Noor Quddus","doi":"10.1016/j.jpse.2022.100053","DOIUrl":"10.1016/j.jpse.2022.100053","url":null,"abstract":"<div><p>Microbiologically influenced corrosion (MIC) is a serious concern and plays a significant role in the marine and subsea industry’s infrastructure failure. A probabilistic methodology is introduced in the present study to assess the subsea system’s resilience under MIC. Conventionally, the risk-based models are constructed using the system’s characteristic features. This helps decision-makers understand how a system operates and how the failed system can be recovered. The subsea system needs to be designed with sufficient resilience to maintain the performance under the time-varying interdependent stochastic conditions. This paper presents the dynamic Bayesian network-based approach to model the subsea system’s resilience as a function of time. An industry-based application study of the subsea pipeline is studied to demonstrate the efficiency and effectiveness of the proposed methodology for the resilience assessment. The proposed methodology will assist decision-makers in considering the resilience in the system design and operation.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 2","pages":"Article 100053"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000257/pdfft?md5=324b6df7d78fa083e5ca588c85d78ccc&pid=1-s2.0-S2667143322000257-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83665342","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":"Uncertainties in internal pressure of oil transmission pipelines and implications for the reliability analysis","authors":"Yue Liu, Wenxing Zhou","doi":"10.1016/j.jpse.2022.100055","DOIUrl":"10.1016/j.jpse.2022.100055","url":null,"abstract":"<div><p>This study addresses a significant knowledge gap in the reliability-based fitnessfor-service assessment of pipelines, namely the statistical information of the internal operating pressure. To this end, probabilistic characteristics of the internal pressure of an in-service oil transmission pipeline are derived based on minute-by-minute pressure records collected from the discharge and suction ends of a pump station on the pipeline. The arbitrary-point-in-time discharge and suction pressures are found to follow the Johnson SB distribution; the monthly and annual maximum discharge pressures are found to be well represented by a deterministic quantity equal to 90% of the maximum operating pressure, and the monthly and annual maximum suction pressures follow the beta distributions. The autocorrelation and power spectral density functions of the discharge and suction pressures characterized as stationary stochastic processes are also derived from the pressure records. Furthermore, the statistics of the pressure ranges obtained from the rainflow counting analysis of the pressure records are obtained. Two example pipelines are used to examine the implications of the uncertainty in the internal pressure for the reliability analysis of corroding pipelines.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 2","pages":"Article 100055"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000270/pdfft?md5=18423a08b84b5fcf5120f64b04bba449&pid=1-s2.0-S2667143322000270-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75734441","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 comparative study of the effect of the soil constitutive model on the seismic response of buried concrete pipes","authors":"Saif Alzabeebee","doi":"10.1016/j.jpse.2021.07.001","DOIUrl":"10.1016/j.jpse.2021.07.001","url":null,"abstract":"<div><p>No attention has been given in previous studies to understand the influence of the sophistication of the soil constitutive model on the response of buried concrete pipes subjected to transverse seismic effect. This research, therefore, has been conducted to address this gap in knowledge by analyzing the behavior of a buried concrete pipe subjected to transverse seismic shake employing the linear elastic (LE) model, elasto-plastic Mohr-Coulomb (MC) model, hardening soil (Hs) model, and hardening soil model with small strain stiffness (Hs small) to provide a benchmark study that helps the designers and the researchers to select the most suitable and less computationally demanding soil constitutive model. The cases of good and poor installation conditions have been considered in the analyses. In addition, numerous earthquake records have been used to allow the consideration of wide range of earthquake intensities to aid general conclusions. It was found that all of the considered constitutive models produce the same trend of the circumferential bending moment (BM) that is developed around the pipe. In general, the maximum BM produced using the LE and MC models is significantly lower than that produced using the Hs and Hs small models with one exception for the LE model for a predominant frequency of 0.66 Hz. Furthermore, the maximum BM produced using the LE and MC models is not sensitive to the increase of the peak ground acceleration (PGA). More importantly, the Hs and Hs small models produce almost similar results with a percentage difference ranges between 1% to 9%. In addition, the Hs and Hs small models show a decrease of the maximum BM as the predominant frequency rises and an increase of the maximum BM as the PGA rises.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 1","pages":"Pages 87-96"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.jpse.2021.07.001","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90153722","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":"Corrosion of steel in a CO2-containing solution droplet generated in wet gas pipelines studied by scanning Kelvin probe","authors":"Shan Qian, Y. Frank Cheng","doi":"10.1016/j.jpse.2021.12.003","DOIUrl":"10.1016/j.jpse.2021.12.003","url":null,"abstract":"<div><p>A scanning Kelvin probe (SKP) was used to study corrosion of X52 pipeline steel under a CO<sub>2</sub>-containing solution droplet simulating the water condensate generated in interior of wet gas pipelines. The Volta potential measured by SKP was indicative of the feature of corrosion occurring under the droplet. Three potential zones were observed from the droplet center towards the transition and the side of the droplet, which were -0.1 V, -0.4 V and 0.1 V (Kelvin probe, kp), respectively, after 4 h of testing. The droplet side had the highest Volta potential, which was attributed to corrosion scale generation and precipitation due to a limited solution volume and achieved solubility limit of FeCO<sub>3</sub> scale. The transition zone possessed the most negative Volta potential due to a higher corrosion activity than the droplet center with more supply and dissolution of CO<sub>2</sub>, while the droplet center had the thickest solution. The SKP measurements could estimate the volume evolution of the solution droplet with time at a relatively accurate scale. The solution droplet could maintain its topographic feature, i.e., a spherical cap shape, within 4 h of testing in this work. The increase in droplet concentration due to solution evaporation during testing affected the Volta potential, but slightly only.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 1","pages":"Pages 71-77"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000780/pdfft?md5=7b71ebd0dfb24d096cc62af892e276f3&pid=1-s2.0-S2667143321000780-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89329270","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}
Zhenjin Zhu , Patrick J. Teevens , Huibin Xue , Y. Frank Cheng
{"title":"Numerical simulation and experimental verification of pitting corrosion propagation in sweet pipeline service","authors":"Zhenjin Zhu , Patrick J. Teevens , Huibin Xue , Y. Frank Cheng","doi":"10.1016/j.jpse.2022.01.001","DOIUrl":"10.1016/j.jpse.2022.01.001","url":null,"abstract":"<div><p>This paper has numerically simulated and experimentally verified the pitting corrosion propagation inside a low-alloy carbon steel pipeline for sweet (CO<sub>2</sub>) petroleum service. In this study, a Finite-Element-Analysis-based mechanistic model was first developed to predict the transient dissolution rate of iron ion (Fe<sup>2+</sup>) from a pre-existing pit through solving the Nernst-Planck Equation. Specifically, the computational domain combines a hemispherical-shaped pit and a thin laminar boundary layer of an electrolyte solution. The mesh was generated using quadratic triangular elements in the Cartesian Coordinate System, and a moving mesh method was deployed to track the dynamic pitting propagation. The velocity distribution of the electrolyte solution was computed through solving the Navier-Stokes Equations. Distribution of electrochemical potentials was determined based on the Poisson Equation in consideration of electroneutrality whereas a Debye-Hückel approximation was applied to describe the variation of the potentials at the metal-solution interfaces by reason of the existence of the Electrical Double Layer. The distribution of the ionic concentrations of each participating chemical species was obtained through solving Fick’s Second Law. To verify the developed pitting propagation model, a laboratory testing system was established and a series of experimental tests were performed. The results demonstrate that the predicted pitting corrosion growth rates agree well with the experimental observations. The model described herein is able to predict pitting corrosion rates and induction times for the onset of pitting attack or passivation in a given sweet pipeline system set of operating conditions.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 1","pages":"Pages 78-86"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143322000014/pdfft?md5=bbf687a6dedbdbedb8a0361c4df52b0e&pid=1-s2.0-S2667143322000014-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73389509","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}
Ravin N Deo, Rukshan Azoor, Guoyang Fu, Benjamin Shannon, Jayantha Kodikara
{"title":"Inferring highly corroded buried pipeline locations through saturated soil resistivity information","authors":"Ravin N Deo, Rukshan Azoor, Guoyang Fu, Benjamin Shannon, Jayantha Kodikara","doi":"10.1016/j.jpse.2021.12.001","DOIUrl":"10.1016/j.jpse.2021.12.001","url":null,"abstract":"<div><p>Inspection and assessment of ageing buried metallic infrastructure such as pipelines can be costly, especially when soil sampling programs are involved to evaluate large networks and pipe health conditions. In order to reduce these costs through assessment prioritisation at infrastructure locations that are scientifically inferred to be under highly corroded state, advancements in current approaches are necessary. In this study we have investigated the utility of soil resistivity as an index for buried and ageing pipe health status through numerical and field case studies. Numerical study showed that the monotonous relationship between soil resistivity and maximum pit depth that is often considered in literature as linear is actually non-linear. Field study involving in-situ wall thickness measurements of 3 separate water distribution mains (each > 1.5 km in length) at selected excavated locations were compared with the saturated soil resistivity (<em>ρ</em><sub>sat</sub>) acquired a-prior. The <em>ρ</em><sub>sat</sub> was found to be highly correlated to the maximum corrosion pit depths observed in-situ. This correspondence is argued to exist provided the saturated soil resistivity displays statistical uniformity along the pipe and the pipes are not under submerged conditions. Locations on the pipe where <em>ρ</em><sub>sat</sub> < 15 Ω m were found to have corroded relatively more than other locations; in one instant a leaking pipe due to excessive corrosion was also observed. A practical indirect assessment framework was proposed that can be utilised immediately in professional practice.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 1","pages":"Pages 60-70"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000767/pdfft?md5=ac3fe8afa6b67e085c307f99bf7e61b4&pid=1-s2.0-S2667143321000767-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73836970","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 new criterion based on strain determination for dent assessment of pipelines","authors":"Jian Zhao, Y. Frank Cheng","doi":"10.1016/j.jpse.2021.11.004","DOIUrl":"10.1016/j.jpse.2021.11.004","url":null,"abstract":"<div><p>Dents are one of the most common defects on pipelines and compromise the structural integrity. To date, relevant studies on failure assessment of dented pipelines have been limited, and the existing standard, mainly American Society of Mechanical Engineering (ASME) B31.8, contains major problems, making assessment results not sufficiently accurate and reliable. In this work, a new method based on ductile damage failure indictor (DFDI) criterion combined with improved strain determination by a finite element (FE) model was developed for pipeline dent assessment. Dents with different depths were created by applying a spherical indenter of 100 mm in diameter on a pipe segment of 720 mm in outer diameter and 8.1 mm in pipe wall thickness. The DFDI formula considers the influence of spring-back upon removal of indenter, and the difference between the equivalent strain at dent apex and the maximum equivalent strain at the whole dent area. When the indenter displacement is smaller than 8% of pipe outer diameter, the maximum DFDI can be determined from the equivalent strain at the dent apex. When the initial displacement exceeds 8% of the pipe outer diameter, the maximum equivalent strain at the dent area, which deviates from the dent apex, should be determined by the FE model. Moreover, the limitations of ASME B31.8 in dent assessment were explained.</p></div>","PeriodicalId":100824,"journal":{"name":"Journal of Pipeline Science and Engineering","volume":"2 1","pages":"Pages 18-28"},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667143321000731/pdfft?md5=7cbf8ac3c9355cf127d876110bdbbc2e&pid=1-s2.0-S2667143321000731-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89063968","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}