Development, Evaluation, and Field Performance of Combined Corrosion Inhibitor
Bibliographic record
Abstract
Abstract Corrosion occurs in oil and gas gathering lines containing high H2S and/or CO2. In the presence of scale and bacteria, corrosion can be aggravated. A combined corrosion inhibitor (CCI-2) was developed, which provides corrosion/scale inhibition and mitigates microbially induced corrosion (MIC). A scale inhibitor with great performance and tolerance to high calcium cation concentration was incorporated in CCI-2. Autoclave tests were conducted using a synthetic brine of medium total dissolved solids with a gas phase of 520 kPa (75 psi) H2S, 350 kPa (50 psi) CO2, and 735 kPa(105 psi) N2. CCI-2 was found to reduce the corrosion rate by 96%. Biocide testing showed that CCI-2 could effectively kill acid producing bacteria (APB). CCI-2 was successfully applied in the field gas lines with a high content of CO2 and H2S. The brine contained bacteria and had 12% of total dissolved solids with high scale tendency. The bacteria, residual CCI-2, iron and manganese in the field brine were periodically monitored. When the residual CCI-2 is above critical micelle concentration, CCI-2 performs very well in corrosion mitigation, scale inhibition and contribution to bacteria killing.
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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) | 0.001 | 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".