Bibliographic record
Abstract
Abstract The A$250 million Stuart Stage 1 Oil Shale Project in Queensland, Australia is one of the most significant new developments in the non-conventional oil industry. The Stuart Project is a joint venture between Australian companies Southern Pacific Petroleum N.L. and Central Pacific Minerals N.L. (SPP/CPM), and Canada's Suncor Energy Inc. (Suncor). An important milestone was reached in 1999 with completion of construction of the Stuart Stage 1 technology demonstration plant. This 4,500 b/d (715 m3/d) plant, constructed by Bechtel, is currently being commissioned by Suncor, the project operator. The Stuart oil shale deposit has an estimated in situ resource of 3 billion barrels of shale oil. The Stuart Project incorporates the Alberta-Taciuk Processor (ATP), a new generation of oil-shale retorting technology which was chosen following a A$150 million R&D program in the 1980s. Upon technical and operational success in Stage 1, the next step is to scale up the ATP in Stage 2 to a commercial sized module producing 15,000 b/d (2,350 m3/d). This could lead to a commercial scale operation of at least 85,000 b/d (13,500 m3/d). Success at Stuart will have important implications for Australia in terms of job creation and development of a new source of indigenous oil supply. It could also be important for world oil supply given the immense size of the world's oil shale resource.
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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 0.012 |
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".