Bibliographic record
Abstract
Abstract On May 18, 2006, a surface steam release incident occurred at the Total E&P Canada Ltd. (referred to here as “Total”) Joslyn Creek steam-assisted gravity drainage operation in northeastern Alberta, approximately 60 km (37 mi) north of Fort McMurray. No injuries or loss of life, consequences to wildlife, and public impacts occurred. The Energy Resources Conservation Board (ERCB) staff conducted a nearly 3-yr multidisciplinary investigation into the conditions that resulted in the incident. This analysis included independent geologic and engineering investigation as well as an extensive review of the material of Total submitted to the ERCB. The report of Total included detailed seismic imaging and extensive monitoring and modeling programs and has been released to the public on the ERCB Web site. This chapter gives the highlights of some of the main engineering factors, with detailed emphasis on geologic considerations related to this incident. Given ongoing caprock integrity concerns associated with the hydraulic fracturing in the subsurface to initiate production, these findings will have relevance to other shallow in-situ thermal and non-thermal operations around the world, including in-situ bitumen and extra-heavy-oil deposits and unconventional commodities such as tight oil development.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 0.004 |
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".