Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling
Pulsed current cathodic protection (PCCP) could be more effective than direct current cathodic protection (DCCP) for mitigating corrosion in buried structures in the oil and gas industries if appropriate pulsed parameters are chosen. The purpose of this research is to present the corrosion preventio...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-12-01
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| Series: | Corrosion Communications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667266923000415 |
| _version_ | 1797384933412438016 |
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| author | Hosein Eslamian Mehdi Javidi Mohammad Reza Zamani Mohammad Mahdi Dana Eghbal Mansoori |
| author_facet | Hosein Eslamian Mehdi Javidi Mohammad Reza Zamani Mohammad Mahdi Dana Eghbal Mansoori |
| author_sort | Hosein Eslamian |
| collection | DOAJ |
| description | Pulsed current cathodic protection (PCCP) could be more effective than direct current cathodic protection (DCCP) for mitigating corrosion in buried structures in the oil and gas industries if appropriate pulsed parameters are chosen. The purpose of this research is to present the corrosion prevention mechanism of the PCCP technique by taking into account the effects of duty cycle as well as frequency, modeling the relationships between pulse parameters (frequency and duty cycle) and system outputs (corrosion rate, protective current and pipe-to-soil potential) and finally identifying the most effective protection conditions over a wide range of frequency (2–10 kHz) and duty cycle (25%-75%). For this, pipe-to-soil potential, pH, current and power consumption, corrosion rate, surface deposits and investigation of pitting corrosion were taken into account. To model the input-output relationship in the PCCP method, a data-driven machine learning approach was used by training an artificial neural network (ANN). The results revealed that the PCCP system could yield the best protection conditions at 10 kHz frequency and 50% duty cycle, resulting in the longest protection length with the lowest corrosion rate at a consumption current 0.3 time that of the DCCP method. In the frequency range of 6–10 kHz and duty cycles of 50%-75%, SEM images indicated a uniform distribution of calcite deposits and no pits on cathode surface. |
| first_indexed | 2024-03-08T21:46:50Z |
| format | Article |
| id | doaj.art-2a0dbb2315a64e7eb48a651e5eec3bcf |
| institution | Directory Open Access Journal |
| issn | 2667-2669 |
| language | English |
| last_indexed | 2024-03-08T21:46:50Z |
| publishDate | 2023-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Corrosion Communications |
| spelling | doaj.art-2a0dbb2315a64e7eb48a651e5eec3bcf2023-12-20T07:39:35ZengElsevierCorrosion Communications2667-26692023-12-01122945Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modelingHosein Eslamian0Mehdi Javidi1Mohammad Reza Zamani2Mohammad Mahdi Dana3Eghbal Mansoori4Department of Materials Science and Engineering, School of Engineering, Shiraz University, Shiraz 7134851154, Iran; Corresponding author.Department of Materials Science and Engineering, School of Engineering, Shiraz University, Shiraz 7134851154, IranSchool of Metallurgy and Materials Engineering, College of Engineering, University of Tehran, Tehran 11155-4563, IranDepartment of Materials Science and Engineering, School of Engineering, Shiraz University, Shiraz 7134851154, IranComputer Science, Eng. and IT Dept., School of Electrical and Computer Engineering, Shiraz University, Shiraz 7134851154, IranPulsed current cathodic protection (PCCP) could be more effective than direct current cathodic protection (DCCP) for mitigating corrosion in buried structures in the oil and gas industries if appropriate pulsed parameters are chosen. The purpose of this research is to present the corrosion prevention mechanism of the PCCP technique by taking into account the effects of duty cycle as well as frequency, modeling the relationships between pulse parameters (frequency and duty cycle) and system outputs (corrosion rate, protective current and pipe-to-soil potential) and finally identifying the most effective protection conditions over a wide range of frequency (2–10 kHz) and duty cycle (25%-75%). For this, pipe-to-soil potential, pH, current and power consumption, corrosion rate, surface deposits and investigation of pitting corrosion were taken into account. To model the input-output relationship in the PCCP method, a data-driven machine learning approach was used by training an artificial neural network (ANN). The results revealed that the PCCP system could yield the best protection conditions at 10 kHz frequency and 50% duty cycle, resulting in the longest protection length with the lowest corrosion rate at a consumption current 0.3 time that of the DCCP method. In the frequency range of 6–10 kHz and duty cycles of 50%-75%, SEM images indicated a uniform distribution of calcite deposits and no pits on cathode surface.http://www.sciencedirect.com/science/article/pii/S2667266923000415Pulsed current cathodic protectionDuty cycleFrequencyArtificial neural networkAPI X65 pipeline steel |
| spellingShingle | Hosein Eslamian Mehdi Javidi Mohammad Reza Zamani Mohammad Mahdi Dana Eghbal Mansoori Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling Corrosion Communications Pulsed current cathodic protection Duty cycle Frequency Artificial neural network API X65 pipeline steel |
| title | Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling |
| title_full | Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling |
| title_fullStr | Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling |
| title_full_unstemmed | Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling |
| title_short | Effect of pulsed current cathodic protection on pipeline steel API 5L X65 corrosion mitigation: An investigation and machine learning-assisted modeling |
| title_sort | effect of pulsed current cathodic protection on pipeline steel api 5l x65 corrosion mitigation an investigation and machine learning assisted modeling |
| topic | Pulsed current cathodic protection Duty cycle Frequency Artificial neural network API X65 pipeline steel |
| url | http://www.sciencedirect.com/science/article/pii/S2667266923000415 |
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