Inhibitor Developments Providing Mitigating Benefits against Pitting Corrosion to Carbon Steel Constructed Assets Used to Process Wet Sulfur Contaminated Sour Gas Production
Bibliographic record
Abstract
Abstract The unmitigated general and pitting corrosion rates were measured for carbon steel coupon specimens subjected to a series of sulfur (S8) spiked laboratory test conditions. Tests simulate sour (containing hydrogen sulphide gas, H2S) gas production environments currently challenging inhibitor programs in Western Canada to protect carbon steel constructed production assets from sulfur catalyzed pitting corrosion attack. The mitigated general and pitting corrosion rates were also measured for coupon specimens subjected to sulfur spiked laboratory test conditions simulating the pipeline production environments. This study evaluated effectiveness of continuous injection type corrosion inhibitors for providing mitigating benefits against pitting attack under conditions, with and without the aide of a batch inhibitor film pre-applied to the carbon steel specimen. The mitigated study concluded with an evaluation of inhibitors for providing mitigating benefits against corrosion under test conditions simulating down hole production environments, likewise challenging inhibitors to protect carbon steel constructed tubing and production assets operated throughout Western Canada from sulfur catalyzed pitting corrosion attack.
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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) | 0.000 | 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".