The Effects of Chloride Droplet Properties on the Underoil Corrosion of API X100 Pipeline Steel
Bibliographic record
Abstract
The corrosive environment expected to form in diluted bitumen pipelines was explored by simulated exposure with a paraffin oil-covered chloride droplet on API X100 pipeline steel. The effects of droplet volume, chloride ion concentration, temperature, initial pH, and cation species on the underoil droplet corrosion behavior of API X100 pipeline steel were studied by corrosion morphology and product identification combined with corrosion penetration measurements. The corrosion rate in the active region beneath the oil-covered sodium chloride droplets was inversely proportional to droplet volume but increased with increasing temperature and chloride ion concentration. Corrosion attack morphology was found to be dependent on initial droplet pH. At pH 2, uniform corrosion occurred across the entire area exposed under the oil-covered droplet. The oil-covered sodium chloride droplets with initial pH of 4 accelerated the uniform corrosion when compared to the droplet without initial pH control (pH ∼ 5.5). However, at a high initial pH of 10, two active regions displaying different general corrosion rates and one inactive region were observed under the oil-covered droplet. At an even higher initial pH of 12, no obvious uniform corrosion was observed beneath the oil-covered droplet. Finally, in the exposures to droplets with varied cation, the uniform corrosion in the active region was reduced by either calcium or magnesium ions in the oil-covered droplet.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 teacher head, 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".