Assessment Methods for DC Stray Current Corrosion Hazards in Underground Gas Pipelines: A Review Focused on Rail Traction Systems
Abstract
1. Introduction
2. Corrosive Impact of Stray Currents Leaking from DC Electric Rail Traction Systems on Gas Pipelines
3. Methods for Testing Gas Pipelines for Electrolytic Corrosion
3.1. Rails Potential Testing Method

| Method summary | |
| measured quantity: | potential of railway or tram rails |
| measuring equipment: | voltage recorder, Cu/CuSO4 reference electrode, cable connection to the rail |
| what conclusion can be drawn: | determining whether there is an anodic or cathodic zone on the gas pipeline near the rails based on the rails’ potential |
3.2. Method for Determining Electric Field Gradients on the Ground Surface

| Method summary | |
| measured quantity: | potential gradient on the ground surface |
| measuring equipment: | voltage recorder, two Cu/CuSO4 reference electrodes |
| what conclusion can be drawn: | determining the locations where stray currents flow from the pipeline into the ground (anodic zones on the pipeline) based on the potential gradient direction |
3.3. Correlation Method ‘E = f(U)’ for Testing the Impact of Stray Currents on Gas Pipelines

| Method summary | |
| measured quantity: | simultaneous measurement: potential of the gas pipeline and voltage of the gas pipeline relative to the rails |
| measuring equipment: | two-channel voltage recorder, Cu/CuSO4 reference electrode, cable connection to the gas pipeline, cable connection to the rail |
| what conclusion can be drawn: | - assessment of the magnitude of the stray current hazard based on the value of the gas pipeline potential asymmetry coefficient at the measurement site, - assessment of the effectiveness of the gas pipeline’s electrochemical protection system based on the shape of the correlation graph E = f(U) and the value of the asymmetry coefficient |
3.4. Correlation Method ‘U = f(E)’ for Testing the Impact of Stray Currents on Gas Pipelines
| Method summary | |
| measured quantity: | simultaneous measurement: voltage of the gas pipeline relative to the rails and potential of the gas pipeline |
| measuring equipment: | two-channel voltage recorder, Cu/CuSO4 reference electrode, cable connection to the gas pipeline, cable connection to the rail |
| what conclusion can be drawn: | intensity of the impact of stray currents on the gas pipeline based on the slope of the correlation graph U = f(E) |
3.5. Time-Frequency Detection Method of Stray Current Interference on Gas Pipeline
| Method summary | |
| measured quantity: | simultaneous measurement: potential of gas pipeline and potential of rails |
| measuring equipment: | two-channel voltage recorder, two Cu/CuSO4 reference electrodes, cable connection to the gas pipeline, cable connection to the rail |
| what conclusion can be drawn: | whether rail traction affects the gas pipeline, or there is no impact, based on a comparison of the energy spectra of both measured signals in the joint time and frequency domain |
4. Discussion
5. Conclusions
- measurements of the potential of electric traction rails or the electric field gradient on the ground surface, which allow identification of the possibility of electrolytic corrosion based on the direction of current flow,
- studies of the correlation between the potential of the gas pipeline and its voltage relative to the electric traction rails, which provide information on the corrosion hazard from anodic areas on the pipeline,
- frequency domain analysis of the pipeline potential, which unequivocally identifies the stray current source that impacts the pipeline.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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| Method and Time for Obtaining Conclusions | Typical Application Case | Advantages | Disadvantages |
|---|---|---|---|
| Rails’ Potential Testing immediate conclusions | preliminary identification of the risk of stray currents when: - designing the gas pipeline route, - it is impossible to connect the measuring cables to the pipeline. | - no complicated measuring equipment is required, - the measurements are simple to perform, - the method can be used by basic cathodic protection personnel, - low cost of testing. | - information obtained is for exploratory purposes only, - it only determines the probability of harmful impacts, which may differ depending on actual pipelines (unknown distribution of stray currents in the field after the construction of the gas pipeline network). |
| Electric Field Gradients on the Ground Surface immediate conclusions | determining the anodic zones of the gas pipeline along its route | - no complicated measuring equipment is required, - the measurements are simple to perform, - the method can be used by basic cathodic protection personnel, - low cost of testing. | - sensitivity of measurement results to foreign electric fields, - non-homogeneous soil resistivity has the potential to affect electric field gradients. |
| Correlation E = f(U) conclusions after analyzing the data in the laboratory | - determining the magnitude of electrolytic corrosion risk of the gas pipeline at the measurement site, - determining whether electrochemical protection of the gas pipeline at the measurement site is necessary, - evaluating the effectiveness of the gas pipeline’s stray current protection system: polarized drainage, ICCP, or sacrificial anodes. | - it provides clear results regarding the magnitude of the stray current hazard (potential change asymmetry coefficient), - the hazard criterion is related to the time domain, not to potential values; therefore, changes in ground resistivity do not affect the obtained results. | - application of this method requires specialized training, - proper analysis of correlation graphs requires extensive experience, - the costs are higher than in previous methods due to the need to use two-channel recorders and software for analyzing the results. |
| Correlation U = f(E) conclusions after analyzing the data in the laboratory | determining the place of greatest impact on the section of the gas pipeline running along the traction line | - measurements easy to perform by trained personnel, - no need for specialized software. | - sensitivity of measurement results to changes in soil resistivity along the tested section of the gas pipeline, - in the case of gas pipelines with high insulation tightness, the measurement results are closely related to the location of insulation defects—there is a possibility of misinterpretation of the beta profile. |
| Time-Frequency Analysis conclusions only after analyzing the data in the laboratory | - determining which stray current source is affecting the gas pipeline (e.g., tram or railway traction), - determining the range of the stray current source’s impact on the gas pipeline (testing remote pipeline sections). | - ease of performing field measurements. | - high costs associated with the equipment recording the measured signals and the software for time-frequency analysis, - advanced post-processing, complicated time-frequency analysis procedures, - obtained results do not provide information about the type of stray current interaction (anodic or cathodic). |
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Żakowski, K.; Szociński, M.; Krakowiak, S. Assessment Methods for DC Stray Current Corrosion Hazards in Underground Gas Pipelines: A Review Focused on Rail Traction Systems. Energies 2025, 18, 5570. https://doi.org/10.3390/en18215570
Żakowski K, Szociński M, Krakowiak S. Assessment Methods for DC Stray Current Corrosion Hazards in Underground Gas Pipelines: A Review Focused on Rail Traction Systems. Energies. 2025; 18(21):5570. https://doi.org/10.3390/en18215570
Chicago/Turabian StyleŻakowski, Krzysztof, Michał Szociński, and Stefan Krakowiak. 2025. "Assessment Methods for DC Stray Current Corrosion Hazards in Underground Gas Pipelines: A Review Focused on Rail Traction Systems" Energies 18, no. 21: 5570. https://doi.org/10.3390/en18215570
APA StyleŻakowski, K., Szociński, M., & Krakowiak, S. (2025). Assessment Methods for DC Stray Current Corrosion Hazards in Underground Gas Pipelines: A Review Focused on Rail Traction Systems. Energies, 18(21), 5570. https://doi.org/10.3390/en18215570

