Effect of Sodium Chloride Concentration on the Corrosion of Carbon Steels and Stainless Steels in CO2 Environment at Atmospheric Pressure under Turbulent Flow Condition
Bibliographic record
Abstract
Abstract The CO2 capture and storage (CCS) in geological reservoirs is now considered to be one of the viable options to reduce green-house gas emissions. The captured CO2 is injected into deep saline aquifers through downhole tubulars constructed from carbon and stainless steels. This paper focuses on the effect of NaCl concentration (1, 5, 15 and 30% (w/v)) on the corrosion performance of carbon steel and stainless steels using atmospheric pressure rotating cage under CO2 environment. The corrosion rate was determined by mass loss measurements. The surface morphology and the composition of the corrosion product layers on the metal samples were analyzed by using surface analytical techniques.
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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 | 0.001 | 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 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".