Evaluation of FBE Coatings for High Temperature Pipeline Applications
Bibliographic record
Abstract
Abstract In oilfields from Colombia, the surface operating temperatures of pipelines are around 120°C. Actually, Canadian and ASTM standard tests set the conditions for Cathodic Disbonding Testing to maximum temperature of 95 °C, while our scope for coating evaluation is between 95 to 150 °C. To select for higher performance coatings systems, we have developed a testing protocol to be applied at the factory, in the laboratory and in the field to assess the performance of coatings for operating conditions between 95 to 150°C. The protocol involved the following tests: dry film thickness, porosity, mechanical, abrasion resistance test, impact and elongation, adhesion, wet adhesion, immersion in chemical solution, cathodic disbonding and electrochemical impedance. The results in the laboratory can be correlated between the glass transition temperature and the electrochemical response. To clarify damage level found in the coatings evaluated. As a result of this work was found a reliable methodology for evaluating coatings at temperatures above 95°C. A good correlation was found in the results of electrochemical impedance tests and cathodic disbondment evaluated to 150°C.
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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) | 0.001 | 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".