Influence of Chromium Content in Alloys on Corrosion in Saline Water Saturated with Supercritical CO2
Bibliographic record
Abstract
Amid growing global efforts toward carbon capture, utilization, and storage (CCUS), this study investigates the influence of chromium (Cr) content in candidate construction alloys on their corrosion modes and kinetics in supercritical CO2 (s-CO2)-saturated saline water at 8 MPa and 50 °C. The results indicate that alloys with a Cr concentration of over approximately 9 wt.%, including P91, 316L, and Alloy 800, exhibit a satisfactory corrosion performance in this environment. During exposure to s-CO2-saturated saline water, a non-protective FeCO3 layer forms on all tested alloys. For alloys containing more than 2 wt.% Cr, an inner Cr-enriched layer concurrently grows and acts as a barrier to resist environmental attack. The integrity of the inner and outer corrosion layers becomes more compact and uniform on alloys with at least 9 wt.% Cr. Pitting is unlikely to occur on candidate alloys used for s-CO2 storage or enhanced oil recovery.
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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 | 0.001 |
| 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".