Bibliographic record
Abstract
Abstract This paper provides a description of PanCanadian’s Christina Lake Thermal Project. PanCanadian is implementing a commercial steam assisted gravity drainage (SAGD) project to recover 7.5 to 9.0 API bitumen from the Athabasca oil sands in the McMurray Formation. The project is located in Northeast Alberta, approximately 130 km north of Lac La Biche and 170 km south of Fort McMurray, in township 76 range 6 W4M. The project will be built in three phases for total bitumen production of 70,000 barrels of bitumen per day. Phase 1 will produce 10,000 bpd, with Phases 2 and 3 producing 30,000 bpd each. This paper will outline PanCanadian’s reasons for taking a phased approach to the Christina Lake development. Dual well SAGD will be implemented with 500 to 750 m long horizontal well pairs. Phase 1 is expected to begin steaming operations in the fourth quarter of 2001. The timing of subsequent phases will depend on Phase 1 results, market conditions and project economics. In March, 2000 PanCanadian received Alberta Energy and Utility Board approval for the project.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.107 | 0.014 |
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".