Case Study on Hayter Heavy Oil Pool Update, Alberta: Reducing Risk and Increasing Recoveries for Economic Heavy Oil Horizontal Well Placement
Bibliographic record
Abstract
Abstract Systematic approach and detailed integrated geo-modelling work with reservoir engineering processes has yielded additional economic locations to an already mature development within a Section of land at 26-40-1W4 in the Alberta side and the border with Saskatchewan. The pool currently produces about 2700 BOPD of oil; it was near its economic life back in 2003. Current well density is less than 4 acres, making it one of the most densely drilled Sections in Alberta. About 10 horizontal wells per year are drilled within the Heavy Oil pool in the last 8 years. The 12-16m sand is underlain by an active bottom water drive system. The 16 API oil pool recoveries have increased from about 17% to 25% so far. The update will show how detailed understanding of oil in place, recovery mechanism and correct prediction of the conning through a geo-model as well as solutions to incorporate collision avoidance has resulted in near 100% success in the past 9 years.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".