The science of alternating current-induced corrosion: a review of literature on pipeline corrosion induced due to high-voltage alternating current transmission pipelines

Thakur, Ajit Kumar; Arya, Adarsh Kumar; Sharma, Pushpa

doi:10.1515/corrrev-2020-0044

Cited by 21 publications

(4 citation statements)

References 31 publications

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“…This research presents a comprehensive comparison of the predictive effectiveness of the KPCA-PSO-ELM model. To achieve a more accurate and comprehensive analysis, multiple error metrics are utilized, including MRE, RMSE, and R 2 .…”

Section: Indicators For Model Evaluationmentioning

confidence: 99%

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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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Section: Indicators For Model Evaluationmentioning

confidence: 99%

“…The integrity and safety of pipelines play a crucial role in the oil and gas industry, especially given the massive exploitation of fossil fuels [1,2]. Most pipelines are laid underground and are susceptible to corrosion due to long-term contact with soil.…”

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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“…Compared to other transportation modes, pipelines have the advantages of low cost, lesser GHG emission, low energy consumption, continuous supply, safer, lesser maintenance, and easiness in transportation under challenging terrains. These factors make pipelines an exceptional mode for transporting oil and gas (Thakur et al 2020;Thakur & Arya, 2021). Pipelines comprise many short to medium-length pipes, pumps, fittings, compressors, and regulators.…”

Section: Introductionmentioning

confidence: 99%

Optimal operation of a multi-distribution natural gas pipeline grid: an ant colony approach

Arya

2021

J Petrol Explor Prod Technol

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The enormous cost of transporting oil and gas through pipelines and the operational benefits that the industry receives through optimization has incited analysts for decades to find optimization strategies that help pipeline managers operate pipeline grids with the least expense. The paper aims to minimize the pipeline grids' operating costs using an ant colony optimization strategy. The article constructs a multi-objective modeling framework for a natural gas pipeline grid based on data from the French gas pipeline network corporation 'Gaz De France,' using pipeline and compressor hydraulics. The gas pipeline grid comprises seven gas supply nodes and nineteen gas distribution centers. Seven compressor stations provided at various locations on the pipeline route raise the gas pressure. Two competing objectives of reducing fuel usage in compressors and increasing throughput at distribution centers are acknowledged to reduce the pipeline's operating cost. The 'multi-objective ant colony optimization (MOACO)' approach is implemented to the pipeline transportation model to reduce the natural gas pipeline grid's operating cost. The process variables include the amount of gas flowing through the pipe and the pressure at pipe nodes. This method provides the optimum solution for each fuel consumption level on each compressor, and it does so by producing a Pareto front for each of the nineteen gas distribution points. The blueprints of the methodology used and the findings collected intend to guide pipeline managers and select the best of the most preferred solutions.

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“…At the same time, as demand grows for energy resources such as oil and gas, the number of long-distance buried pipelines has also increased. Such complex electrified lines and pipelines will inevitably form a so-called public corridor during their design and construction, which can increase the risk of pipeline corrosion by stray currents [1][2][3]. In addition, the corrosion of buried pipelines is also affected by various stress-strain conditions (caused by internal pipeline pressure and soil movement) and the corrosive environment of soils (such as pH, moisture content, bacteria) [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Effect of DC Currents and Strain on Corrosion of X80 Steel in a Near-Neutral Environment

Zhao

et al. 2021

Metals

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The corrosion behavior of X80 steel in a near-neutral soil-simulated solution under various DC stray currents and applied strains was investigated using electrochemical measurements (open circuit potential, linear polarization, and electrochemical impedance spectroscopy) and surface analysis techniques. Our results show that a DC stray current has a substantially greater effect on steel corrosion compared to applied strain. However, strain could slow down the corrosion rate in specific conditions by affecting the composition of corrosion products and the structure of the corrosion scale on the surface of the steel. Although the porosity of the corrosion scale of steel without an applied strain will increase with increasing DC currents, once strain is applied, the corrosion scale will become denser. Furthermore, both DC currents and strain can promote steel pitting, and the number and size of pitting holes will increase significantly with an increase in current densities.

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The science of alternating current-induced corrosion: a review of literature on pipeline corrosion induced due to high-voltage alternating current transmission pipelines

Cited by 21 publications

References 31 publications

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

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

Optimal operation of a multi-distribution natural gas pipeline grid: an ant colony approach

Effect of DC Currents and Strain on Corrosion of X80 Steel in a Near-Neutral Environment

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