Effect of Surface Layers on the Initiation of Internal Pitting Corrosion in Oil and Gas Pipelines
Why this work is in the frame
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Bibliographic record
Abstract
Experiments have been carried out in a high-temperature, high-pressure rotating electrode (HTHPRE) apparatus under 40 conditions to cover the spectrum of conditions found in oil and gas production pipelines in Western Canada. Each experiment was conducted over a period of 100 h. During the experiments, the electrodes were monitored using electrochemical noise technique. After the experiments, the surfaces of the samples were analyzed using scanning electron microscopy (SEM). Potentiodynamic polarization (PP) experiments were also conducted under the same 40 conditions. Based on the electrochemical noise, SEM, and PP data, it was found that the probability of the initiation of pitting corrosion increased with an increase in flow rate, temperature, chloride ion concentration, and anodic polarization, and decreased with an increase in oil wettability, hydrogen sulfide (H2S) partial pressure, carbon dioxide (CO2) partial pressure, total pressure, bicarbonate concentration, sulfate concentration, and cathodic polarization. The variation in the probability of initiation of pitting corrosion has been explained based on the type of surface layers formed.
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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 | 0.001 | 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 it