Development of a Test Protocol for the Evaluation of Underdeposit Corrosion Inhibitors in Large Diameter Crude Oil Pipelines
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Pipelines carrying heavy crude oil may be subject to corrosion caused by deposition of sediments, a sludge containing oil, water, and bacteria in a particulate matrix. A standard testing protocol was developed with the participation of five inhibitor vendors. The test protocol includes inhibitor evaluations based on (1) Filming Effectiveness, (2) Partitioning Studies, (3) Sludge Corrosivity and Inhibitor Tests, and (4) Bacterial Kill Studies. The results of the different tests and the relevance of each test with regard to the application are discussed. A successful bacterial kill test approach was established. Initial exposure tests of coupons covered with inhibited sludge in oil are most representative of the pipeline environment, but results were variable. Improvements to the test procedure are presented and explored.
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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) | 0.001 | 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 it