Effects of Cold Temperature on Pressure Transmitter/Flexible Hose Gaugeline Assembly Mounted on a Pipeline Transporting Diluted Bitumen
Bibliographic record
Abstract
Pressure transmitters (PT) are mounted on Diluted Bitumen (DilBiT) pipelines particularly in various locations around the pump stations. Conventional assembly of the PT includes short rigid tubing closely connected to the pipe. Due to fluid flow and equipment induced vibration of the main pipe, these tubing, being very short and close to the pipe, are vulnerable to break and hence becomes an integrity and reliability issue. For this reason, PT’s are often mounted at a longer distance away from the pipe (of the order of 2 meters) with the use of a flexible SS hose gaugeline to dampen vibration generated at the pipe/tubing connection. While this solves the problem of tube breaking, it creates an issue surrounding the effects of the long gaugeline on the dynamic response of the PT/gaugeline assembly to pressure variations, particularly in cold ambient temperature (e.g. −40°C). An experimental setup of a typical PT/flexible hose gaugeline assembly was placed in a cold chamber, and several tests were conducted on warm (10 to 20 °C) and cold temperatures (−40°C) to compare the difference in the dynamic response of the assembly. Several fluids filling the gaugeline were tested and compared. This paper present the test results and make a recommendation of the best fluid to use for the gaugeline to cope with −40°C ambient temperature. It was also found that no heat tracing would be required if this fluid is used.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".