Standardized Methodology for Inhibitor Evaluation and Qualification for Pipeline Applications
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
Based on the literature database and information from pipeline companies, the methodologies used to select inhibitors were critically reviewed. Round robin tests were carried out in three laboratories to assess reproducibility of the wheel test. In total, twelve (12) laboratory methodologies were evaluated. Field monitoring was carried out in Alberta at three fields — oily gas, gassy oil and oil transmitting — to support the laboratory evaluation, and to define the conditions under which specific laboratory methodologies can be used with the confidence that the laboratory data will predict field performance. Based on a quantitative comparison of field and laboratory general corrosion rates, pitting rates, and percentage inhibition (calculated from general corrosion rates and pitting rates) under three (3) different field conditions using four (4) continuous and two (2) batch inhibitors, the rotating cage, was ranked as the top methodology. In addition, this methodology is inexpensive and relatively simple to carry out. The rotating cage is recommended as a methodology to be standardized for evaluating and qualifying inhibitors for sour service.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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