High-Performance Polyurethane Elastomer Coatings - Lessons Learned from 6 Years in Oil Sands Service
Bibliographic record
Abstract
Abstract Six years have passed since the first installation of spools with custom-designed internal abrasion protection coatings made from high-performance polyurethane elastomers. These coatings, which do not require an intermediate layer of rubber or neoprene have become an essential tool in oil sands tailings and hydrotransport lines. Useful life of steel pipes is extended significantly; often by factors of 10 or even more. With the advent of intelligent coatings incorporating wear sensors three years ago, much wider use of high-performance polyurethane elastomer coatings became possible. Such intelligent coatings transmit wear information to the outside of the pipe without the need for a hole through the pipe wall. This presentation will give an overview on lessons learned with these coatings in Alberta oil sands, from material properties, operating conditions, wear data, to useful life and cost savings.
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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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".