Corrosion Inhibitor Developments for Offshore Gas Gathering Systems on Canada’S Atlantic Coast
Bibliographic record
Abstract
Abstract A laboratory inhibitor selection study was conducted to select suitable corrosion inhibitors for managing corrosion in wet sub-sea pipelines containing ethylene glycol I salt water fluid mixtures. Several inhibitors were screened using static autoclave partitioning tests simulating worst case field conditions at 248 kPa (36 psi) CO2 partial pressure and 75° C (167 F). All inhibitors studied afforded excellent protection against general corrosion but three chemistries were also very effective in preventing pitting attack. Uninhibited lean (~ 20% water content) and rich (~ 50% water content) ethylene glycol / water mixtures (MEG) were also studied under static and dynamic flow conditions to evaluate pitting corrosion tendency of sodium chloride salt spike (750 ppm, 5,000 ppm, 8,000 ppm and 80,000 ppm chloride) additions to the MEG relative inhibited fluids.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".