Cathodic Protection Implications of Solar Facilities on Adjacent Pipeline Infrastructure
Bibliographic record
Abstract
Abstract As oil and gas operators ramp up their efforts to reduce their carbon footprint, more and more renewable energy projects will be constructed adjacent to pipeline infrastructure and facilities. As part of this effort, a large North American pipeline Operator, with over 150,000 km of combined liquids and gas pipelines, is installing three solar farms connected into existing pump stations as a pilot project. The Operator also has seven additional solar sites already in progress and plans to install many more in multiple phases over the next few years. These solar farms can involve the installation of hundreds to thousands of bare steel piles along with additional grounding, which could result in tens to hundreds of amps of cathodic protection current drain and compromise the corrosion protection of the Operator’s assets. Additionally, the solar farm could potentially introduce alternating current (AC) and direct current (DC) interference risks, both under normal operation and fault conditions. This paper explores the various risks, and discusses cathodic protection (CP) design, monitoring and interference mitigation strategies that can be implemented to address these risks.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".