Identification of steel corrosion associated with sulfate‐reducing bacteria by electrochemical noise technique

Permeh, Samanbar; Lau, Kingsley

doi:10.1002/maco.202213238

Cited by 8 publications

(4 citation statements)

References 44 publications

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“…Additionally, changes in electrochemical parameters can be used to infer the mechanisms of the corrosion process. However, the method is susceptible to environmental factors such as solution composition, temperature, and pH, and it requires sophisticated technology and equipment, with data interpretation being relatively complex [22]. Therefore, further development and optimization of techniques and methods are needed to improve the accuracy and reliability of testing.…”

Section: Electrochemical Methodsmentioning

confidence: 99%

Review of microbial corrosion prevention and control technology in the petroleum industry

Zhang

2024

Eng. Res. Express

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Microbial corrosion (MIC) is widely present in the petroleum industry, including oil extraction, transportation, and processing. This type of corrosion not only causes structural damage to metal materials, but also leads to corrosion and damage to equipment such as oil and gas pipelines, storage tanks, and drill rods, shortening the service life of equipment. It may also trigger safety accidents such as fires and explosions, bringing great economic losses and safety hazards to the petroleum industry. This article provides an overview of the methods for determining, detecting, and monitoring microbial corrosion, as well as the current research status of different corrosion prevention and control methods. It emphasizes the advantages and disadvantages of different prevention and control methods and their specific prevention and control effects, and summarizes and looks forward to their future development trends and challenges. The aim is to provide some reference and guidance for the research on microbial corrosion prevention and control.

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Section: Electrochemical Methodsmentioning

confidence: 99%

Review of microbial corrosion prevention and control technology in the petroleum industry

Zhang

2024

Eng. Res. Express

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“…The electrochemical noise (EN) technique has several advantages that may be leveraged for corrosion monitoring. [28][29][30][31][32] The use of electrochemical techniques including EN to identify carbonation-induced corrosion is explored.…”

Section: Co + Ca(oh)mentioning

confidence: 99%

Identification of carbonation‐induced corrosion of steel in concrete by electrochemical testing

Permeh,

Lau

2024

Materials & Corrosion

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Carbonation‐induced corrosion of steel in concrete can allow for premature degradation of structures. Corrosion probes in health monitoring systems can assess concrete carbonation and steel corrosion rates. The electrochemical noise (EN) technique has advantages for corrosion sensing. Instrumented concrete columns were fitted with a carbonation chamber for accelerated testing. EN was assessed through statistical evaluation of noise time signatures, noise resistance, and spectral analysis. The mean noise potential for the electrodes showed electronegative potential and correspondingly high rms noise current, indicative of corrosion activation in carbonated concrete. The estimated corrosion rates obtained from the noise impedance were comparable to those resolved from the polarization resistance and noise resistance. The shot noise analysis indicated isolated spontaneous noise events associated with the activation of local steel anodes. The outcomes of the testing indicate that the placement of low‐cost sensors and passive EN measurements can be used to monitor the onset of carbonation‐induced corrosion of steel in concrete and provide estimates on corrosion rates.

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“…The charge q gives an indication of the lost metal mass in the event, while f n provides information about the frequency of these events [51]. The charge, q, is considered to be an affordable index of the localized corrosion activity [48,52], so the cumulative sum of the charge could be used as an index to evaluate the overall rate of electrochemical noise activities that take place on the specimen surface.…”

Section: Time Domain Analysismentioning

confidence: 99%

Data Mining Applied to the Electrochemical Noise Technique in the Time/Frequency Domain for Stress Corrosion Cracking Recognition

Calabrese,

Galeano,

Proverbio

2023

CMD

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In this paper, time/frequency domain data processing was proposed to analyse the EN signal recorded during stress corrosion cracking on precipitation-hardening martensitic stainless steel in a chloride environment. Continuous Wavelet Transform, albeit with some limitations, showed a suitable support in the discriminatory capacity among transient signals related to the different stress corrosion cracking mechanisms. In particular, the aim is to propose the analysis of electrochemical noise signals under stress corrosion cracking conditions in the time–frequency domain by using the Hilbert–Huang approach. The Hilbert–Huang Transform (performed by the Empirical Mode Decomposition approach) was finally proposed to carry out an identification of the corrosion mechanisms in comparison to conventional data processing methods. By using this approach, a detailed simultaneous decomposition of the original electrochemical noise data in the time and frequency domain was carried out. The method gave useful information about transitions among different corrosion mechanisms, allowing us to (i) identify a specific characteristic response for each corrosion damaging phenomenon induced by stress corrosion cracking, (ii) time each corrosion of the damaging phenomenon, and (iii) provide a topological description of the advancing SCC damaging stages. This characteristic evidences that the Hilbert–Huang Transform is a very powerful technique to potentially recognize and distinguish the different corrosion mechanisms occurring during stress corrosion cracking.

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Identification of steel corrosion associated with sulfate‐reducing bacteria by electrochemical noise technique

Cited by 8 publications

References 44 publications

Review of microbial corrosion prevention and control technology in the petroleum industry

Review of microbial corrosion prevention and control technology in the petroleum industry

Identification of carbonation‐induced corrosion of steel in concrete by electrochemical testing

Data Mining Applied to the Electrochemical Noise Technique in the Time/Frequency Domain for Stress Corrosion Cracking Recognition

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