Scoring with composites : high performance sports technology harnessed to develop advanced oilpatch products
Bibliographic record
Abstract
Fiberspar Corporation, a producer of high performance sporting goods, formed a partnership with Calgary-based Thread Tech Energy Systems Ltd. to launch a new advanced composite materials technology into the Canadian market. In 1986 Fiberspar developed its LinePipe product, a high-pressure, corrosion resistant pipe made in continuous lengths of up to eight kilometres. LinePipe consists of an inner thermoplastic pressure layer reinforced with high-strength glass or carbon fibres embedded in an epoxy matrix. It can be used for surface installations in production gathering and injection or disposal applications. A newly developed fibre-reinforced spoolable pipe is currently under development and undergoing field-testing as production tubing and coiled tubing to determine it s feasibility for permanent down-hole installations for completion orf corrosive production or injection wells, or for secondary completion of existing wells for gas-lift or velocity strings. In addition, another product called SmartPipe is also undergoing field trials. The SmartPipe incorporates fiber optics, copper signal wires, power cables and capillary tubes directly into the structural wall of the composite tubing during manufacturing. This intelligent wire provides real-time reservoir monitoring and data communication while moving oil and gas from downhole or on the surface for optimal reservoir treatments. 2 figs.
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.
How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".