GASIFICATION IN THE CANADIAN OIL SANDS:
Bibliographic record
Abstract
The Long Lake integrated bitumen and upgrading project, now under construction by OPTI Canada Inc. and Nexen Inc., is the first application of large-scale gasification in Canada. It also represents the first implementation of a gasification project in conjunction with a heavy oil recovery and upgrading project. The Canadian oil sands are a vast petroleum resource that currently produces over one million barrels per day (bpd) using proven mining and in-situ recovery technologies. Production is projected to rise to over two million bpd by the end of the decade. However the large volumes of natural gas normally needed by the bitumen recovery and upgrading facilities are a significant barrier to economic development of the resource. The Long Lake Project uses a unique combination of technologies to provide a solution to the natural gas supply and cost issue. A key component is a gasification facility using the Shell Gasification Process (SGP) which is integrated with the bitumen upgrading to convert the liquid asphaltene by-product stream into hydrogen for the secondary upgrading step and syngas fuel. An Air Liquide air separation unit (ASU) will provide
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".