Probabilistic investigation on the reliability assessment of mid- and high-strength pipelines under corrosion and fracture conditions

Guillal, Abdelkader; Seghier, Mohamed El Amine Ben; Nourddine, Abdelbaki; Correia, José A.F.O.; Mustaffa, Zahiraniza; Nguyen-Thoi, T.

doi:10.1016/j.engfailanal.2020.104891

Cited by 42 publications

(13 citation statements)

References 28 publications

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“…Therefore, the suggested model for assessing the bearing capacity of a pipe with SCC defects takes into account the geometric dimensions of the pipe and the defect, mechanical properties of pipe steel, providing results that are comparable in accuracy with those obtained using the R6 method, while the calculation procedures are much simpler than those proposed in international standards (Assessing the Integrity, 2001; BS 7910, 2005; API 579-1/ASME FFS-1, 2007) or described in the literature (Guillal et al , 2020).…”

Section: Model Of Scc For Large-diameter Steel Pipesmentioning

confidence: 85%

Safe operation of gas pipelines based on the control of stress corrosion cracking

Ryakhovskikh¹,

Kashkovskiy²,

Kaverin³

et al. 2021

IJSI

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PurposeThe paper is devoted to the phenomenon of stress corrosion cracking (SCC), which is an urgent problem for major operator companies that use large-diameter gas transport systems built in the second half of the last century. The aim of the study is to predict the operability of gas pipelines with SCC and ensure their safe operation.Design/methodology/approachThe methodology of the article mainly consisted of strength calculations, mathematical and analytical approaches.FindingsThe paper describes practical methods of assessing the residual service life and operability of pipes with SCC defects as part of gas pipelines, the developed approaches to assessing the point of failure of pipes, provides recommendations for developing requirements to ILI smart tools in order to detect cracks and the methods of pipe repair depending on the SCC defect parameters.Originality/valueThe originality of the study consists in the analytical description of the point of destruction of gas pipelines with SCC, assessment of their performance, as well as the definition of modern requirements for the accuracy of in-line inspection to ensure the detection of potentially dangerous SCC defects.

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Section: Model Of Scc For Large-diameter Steel Pipesmentioning

confidence: 85%

Safe operation of gas pipelines based on the control of stress corrosion cracking

Ryakhovskikh¹,

Kashkovskiy²,

Kaverin³

et al. 2021

IJSI

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“…The plotting between C/θ versus 1/K ads provides the value of R 2, as calculated using (3) [40]. 1 .…”

Section: The Nature Of Inhibitor Adsorption Resultsmentioning

confidence: 99%

“…Pipelines are the heart of the oil and gas distribution to ensure the energy products meet society and industrial activities. Despite considering the most prominent way to transport the source of energy [1], the material remains susceptible to corrosion. Yearly, the oil and gas company allots nearly USD 1400 to reconstruct the risk of corrosion [2] and requires an additional USD 2.5 trillion to adverse the effect of corrosion as reported in [3].…”

Section: Introductionmentioning

confidence: 99%

Unraveling the study of liquid smoke from rice husks as a green corrosion inhibitor in mild steel under 1 M HCl

Kaban

Mayangsari

Anwar

et al. 2022

EEJET

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The work provides the more comprehensive development of Liquid Smoke from Rice Husks Ash (RHA). Notably, the study focuses on the interaction between the primary molecules of inhibitor and mild steel, including thermodynamic calculation and surface treatment upon addition of inhibitor. The electrochemical impedance spectroscopy (EIS) and potentiodynamic polarization (PP) characterization were utilized to evaluate the anticorrosion of RHA. The Raman Spectroscopy pre and post-addition of RHA’s inhibitor were used to compare the adsorbed functional group of inhibitors. Moreover, the thermodynamic calculation of the inhibitor’s adsorption determines the types of adsorption of the inhibitor. As a result of the adsorption process, the Scanning Electronic Microscope-Energy Dispersive X-Ray (SEM-EDX) aided by The Atomic Force Microscopy (AFM) and Contact Angle Test was implemented to unveil the surface treatment and the change of elemental composition after the addition of an 80 ppm inhibitor. The PP and EIS results show a significant depression of the current density at ‒2.75 μA·cm2 in 80 ppm solution with the highest inhibition efficiency of 99.82 %. The superior inhibition correlates to the adsorption of Si–OH, C–C, C–O–C, >C=O, complex structure, and –OH at wavenumber 458, 662, 1095, 1780, and 3530 cm-1. The LS shows a significant surface area of protection of 0.9982 and high adsorption constant (Kads) at 11.648. The calculated ΔGads of ‒6.59 kJ/mol unveils the chemisorption in nature. At the same time, a combination of 20 and 80 ppm solution is predicted adsorbed horizontally to reduce the contact between the solution and substrate, as shown in SEM and AFM results. It also increases the contact angle and their corresponding hydrophobicity

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“…However, the longer the pipeline is running, the greater the risk of corrosion [2]. Corrosion is the main incentive to increase the risk of oil and gas pipelines [3]. Due to the high cost of measuring equipment and the requirements of specific and regular calibration operations, it is not easy to obtain the status of corrosion defect measurement [4].…”

Section: Introductionmentioning

confidence: 99%

Metal Corrosion Rate Prediction of Small Samples Using an Ensemble Technique

Yang¹,

Zheng²,

Zeng³

et al. 2023

Computer Modeling in Engineering &Amp; Sciences

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Accurate prediction of the internal corrosion rates of oil and gas pipelines could be an effective way to prevent pipeline leaks. In this study, a proposed framework for predicting corrosion rates under a small sample of metal corrosion data in the laboratory was developed to provide a new perspective on how to solve the problem of pipeline corrosion under the condition of insufficient real samples. This approach employed the bagging algorithm to construct a strong learner by integrating several KNN learners. A total of 99 data were collected and split into training and test set with a 9:1 ratio. The training set was used to obtain the best hyperparameters by 10-fold cross-validation and grid search, and the test set was used to determine the performance of the model. The results showed that the Mean Absolute Error (MAE) of this framework is 28.06% of the traditional model and outperforms other ensemble methods. Therefore, the proposed framework is suitable for metal corrosion prediction under small sample conditions.

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Probabilistic investigation on the reliability assessment of mid- and high-strength pipelines under corrosion and fracture conditions

Cited by 42 publications

References 28 publications

Safe operation of gas pipelines based on the control of stress corrosion cracking

Safe operation of gas pipelines based on the control of stress corrosion cracking

Unraveling the study of liquid smoke from rice husks as a green corrosion inhibitor in mild steel under 1 M HCl

Metal Corrosion Rate Prediction of Small Samples Using an Ensemble Technique

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