Case Study: Engineered Polyamide 12 (PA12) Pipeline Liner for Management of Sour Gas Corrosion at Elevated Temperatures
Bibliographic record
Abstract
Abstract Field-inserted thermoplastic liners are often the preferred corrosion management option in crude oil and gas gathering lines in cases where water, salt, and acid gases create difficult corrosion management challenges. HDPE has been the most used material for plastic liners for a long time but performance limitations of conventional HDPE liners in higher temperature applications as well as in sour, multiphase, crude gathering lines are well known. A polyamide 12 (PA12) material has been specifically engineered for use in a much broader range of conditions with longer design lifetimes. After extensive laboratory testing and analysis including chemical resistance testing, mechanical durability studies, and installation method compatibility testing, a significant project was developed to install PA12 in the Lone Pine Creek field near Calgary, Alberta, Canada. The sour, multiphase, pipeline normally operates at 45° C with H2S concentration of 12.5 mole percent. The material qualification program is discussed, followed by the liner design and installation process. Performance of the liner in service are described as well as the results of inspection of test coupons placed in the flow stream for a period of one year.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".