Safety and reliability assessment of external corrosion defects assessment of buried pipelines—soil interface: A mechanisms and FE study

Zhang, Jia; Lian, Zhanghua; Zhou, Zhaoming; Song, Zijun; Li, Meng; Yang, Kelong; Liu, Ziyi

doi:10.1016/j.jlp.2023.105006

Cited by 10 publications

(5 citation statements)

References 23 publications

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“…Safety during biomass gasification startup is paramount for preventing accidents and ensuring the reliable operation of gasification systems. Previous research has highlighted the importance of following standardized procedures and implementing safety protocols during startup, shutdown, and maintenance activities [15][16][17]. Hazard analysis techniques, such as hazard and operability studies (HAZOP) and failure mode and effects analysis (FMEA), have been utilized to identify potential risks and develop preventive measures.…”

Section: Introductionmentioning

confidence: 99%

Experimental investigation of producer gas effects on coated pipelines in biomass downdraft gasifier system

C M,

P K

2024

Mater. Res. Express

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This research examines the performance of epoxy, ceramic, and graphene coatings on stainless steel 316 in a producer gas environment, focusing on corrosion and erosion resistance. This research aimed to identify the most effective coating for applications in harsh gasification environments. In this research, various analyses, including microstructural examination, hardness and weight measurements, FESEM analysis, and EDAX analysis, were conducted to evaluate the performance of the coatings. The producer gas was passed on to all the coated samples for a period of 100 hours. The significant findings include the superior corrosion and erosion resistance of ceramic-coated stainless steel, as evidenced by low weight fluctuations, maintained hardness levels, and elemental stability. Graphene coatings exhibit high hardness but increased porosity, raising concerns about durability, while epoxy coatings are vulnerable to gas-induced structural alterations. The inclusion rating analysis underscored the ceramic coatings' ability to preserve consistent material properties. Overall, ceramic coatings have emerged as the preferred option for gasification environments due to their structural resilience, inclusion integrity, and elemental stability. Considering the inclusion integrity, mechanical strength, weight stability, and elemental stability, ceramic-coated stainless steel 316 samples exhibit better resistance toward producer gas influence. This research contributes valuable insights for material selection in applications exposed to harsh gasification environments, emphasizing the importance of coating selection for long-term durability and performance.

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Section: Introductionmentioning

confidence: 99%

Experimental investigation of producer gas effects on coated pipelines in biomass downdraft gasifier system

C M,

P K

2024

Mater. Res. Express

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“…Many studies have been developed in recent years [3][4][5][6][7][8][9][10][11][12] with the aim of finding adequate anti-corrosion protection solutions in order to limit or remove them. Chemical composition is key to understanding how a soil can influence corrosion.…”

Section: Introductionmentioning

confidence: 99%

“…The service life of the pipeline is affected by local corrosion failure due to liquid accumulation in the low-lying section of the buried natural gas pipeline causing external corrosion occurring at the interface between the pipeline and the soil [12]. Based on the Mises-Stress yield criterion, non-linear analysis was carried out with the finite element method (FEM).…”

Section: Introductionmentioning

confidence: 99%

Corrosion of API 5L X60 Pipeline Steel in Soil and Surface Defects Detection by Ultrasonic Analysis

Benkhedda,

Bensaid,

Benmoussat

et al. 2024

Metals

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The corrosion steels phenomenon is one of the main problems in the oil industry, such as in buried transmission pipelines used for high gas pressure for long distances. Steels are protected from the external soil corrosion through a bituminous coating, whose action is coupled with a cathodic protection system, which aims to maintain steel in its protection field and thus to avoid any corrosion risk. However, steels in service may experience external surface defects like corrosion pitting and cracking due to electrochemical or mechanical interactions of bare steel with an aggressive soil solution after steel protection failure. These are concerning phenomena and are the major threats of the pipeline transmission system’s reliability and ecological safety. Corrosion mechanisms are varied and can be evaluated by different methods, such as electrochemical measurements, which are influenced by various factors like temperature, pH, soil characteristics, resistivity, water content, and as well mechanical stresses. Corrosion results from simulated artificial soil solutions showed that steel is sensitive to corrosion by soil. Surface defects detection was carried out using an ultrasonic non-destructive method such as C-Scan Emission testing and the time of flight diffraction technique (TOFD) ultrasonic non-contact testing method. After propagation of the ultrasonic waves, the diffracted ultrasonic reflected wave occurring at the edges of the defects appears due to the presence of a corrosion defect by generating defect echoes. The C-Scan ultrasonic image shows surface reflection, including corrosion defects on interfaces with varying acoustic impedances. The cross-transverse speed ultrasonic propagation through the plate including defect is modified, revealing more surface defects, and cross-transverse speed is shown to increase ultrasonic detection presents some advantages, such as precision and speed of detection without alteration to the structure. This method can be used in the industrial context as an intelligent industrial robotics technique.

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“…It can also minimize environmental impacts. For these reasons, studying pipeline corrosion failure prediction is critical for safe and effective operations [8]. Corrosion prediction models can be divided into mechanistic, statistical, and machine-learning-based intelligent models.…”

Section: Introductionmentioning

confidence: 99%

Predicting the External Corrosion Rate of Buried Pipelines Using a Novel Soft Modeling Technique

Ren,

Chen,

Yang

et al. 2024

Applied Sciences

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External corrosion poses a significant threat to the integrity and lifespan of buried pipelines. Accurate prediction of corrosion rates is important for the safe and efficient transportation of oil and natural gas. However, limited data availability often impacts the performance of conventional predictive models. This study proposes a novel composite modeling approach integrating kernel principal component analysis (KPCA), particle swarm optimization (PSO), and extreme learning machine (ELM). The key innovation lies in using KPCA for reducing the dimensionality of complex input data combined with PSO for optimizing the parameters of the ELM network. The model was rigorously trained on 12 different datasets and comprehensively evaluated using metrics such as the coefficient of determination (R2), standard deviation (SD), mean relative error (MRE), and root mean square error (RMSE). The results show that KPCA effectively extracted four primary components, accounting for 91.33% of the data variability. The KPCA-PSO-ELM composite model outperformed independent models with a higher accuracy, achieving an R2 of 99.59% and an RMSE of only 0.0029%. The model comprehensively considered various indicators under the conditions of limited data. The model significantly improved the prediction accuracy and provides a guarantee for the safety of oil and gas transport.

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Safety and reliability assessment of external corrosion defects assessment of buried pipelines—soil interface: A mechanisms and FE study

Cited by 10 publications

References 23 publications

Experimental investigation of producer gas effects on coated pipelines in biomass downdraft gasifier system

Experimental investigation of producer gas effects on coated pipelines in biomass downdraft gasifier system

Corrosion of API 5L X60 Pipeline Steel in Soil and Surface Defects Detection by Ultrasonic Analysis

Predicting the External Corrosion Rate of Buried Pipelines Using a Novel Soft Modeling Technique

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