Bibliographic record
Abstract
World scale deposits of oil sands (bitumen) in Northern Alberta, Canada are being developed to extract hydrocarbons from the sand using surface mining processes and new techniques such us Steam Assisted Gravity Drainage (SAGD) or “SagDee” as it is commonly referred to in the industry. This method employs numerous steam injection wells to heat the bitumen to reduce its viscosity and separate it from the sand particles. The heavy tar-like bitumen must either be upgraded to a light synthetic crude on site or diluted with natural gas condensate or a light oil to be able to pump the blend over long distances through pipelines to refineries for upgrading. The cost of this process and the decreasing availability of diluent led to the development of a pilot project to pump the bitumen in a raw heated state. This paper describes the special facilities and controls that were designed to move high viscosity heated bitumen from this remotely operated pump station. Extended loss of heat to the pump station and pipeline would result in a bitumen viscosity increase from which there is no recovery resulting in a permanent failure of the facility. For this reason, the equipment installed required a high degree of reliability. New receipt and blending facilities were also designed and constructed at the end of the pipeline to dilute the bitumen such that the blend could be pumped down conventional pipeline facilities. The pump station was manufactured as modules in Edmonton, Alberta, and then transported 500 km (315 mi) to site for assembly. Startup procedures were developed to fill the pipeline in controlled stages and to commission the new facilities. Redundant systems were employed to ensure the availability of the pump station at all times.
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 | 0.000 | 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 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".