Cathodic Protection of Pipelines in High Resistivity Soils and the Effect of Seasonal Changes
Bibliographic record
Abstract
Abstract Seasonal fluctuations in temperature and soil moisture content can affect the cathodic protection of underground pipelines. These effects are particularly pronounced in high-resistivity soils which can experience large fluctuations in soil resistivity because of episodic or seasonal changes in moisture content. Under some circumstances it can be difficult to demonstrate compliance with various CP criteria, even though the moisture content is so low that corrosion is unlikely to be a significant problem. This paper describes the results of a study to investigate the effect of seasonal changes on the protection of pipelines in high-resistivity soil. In addition to establishing the nature and magnitude of the seasonal fluctuations, a second aim was to demonstrate that corrosion rates are low even when compliance with a given CP criterion cannot be demonstrated. Environmental and CP measurements were made on operating pipelines in both Canada and the U.S. Daily monitoring of soil characteristics such as resistivity, pH, temperature and oxygen content was performed at the pipeline to soil interface using a novel pipe-depth probe and automated measurement system. Coupons were used to measure on-, off-, and native potentials, also on a daily basis, as well as native corrosion rates during periodic site visits. A method is proposed for predicting corrosion rates of polarized coupons to demonstrate that rates are low in high-resistivity soils even though compliance with a particular CP criterion may not be met.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".