MacKay River SAGD Project Benefits From New Slant Rig Design
Bibliographic record
Abstract
Abstract Drilling oil sands in the first phase of a steam-assisted, gravity-drilling (SAGD) commercial project in northern Alberta, Canada, presented numerous challenges. The oil sands are too deep for surface mining and too shallow for conventional horizontal drilling. In addition, over-warming these bituminous sands can result in significant wellbore problems. While conventional slant rig technology could effectively reach the oil sands, the economics of moving the rig between project well sites was not favorable. To improve economics, a new centralized rig design was required that allowed auxiliary drilling equipment to remain stationary while the rig and tubulars moved between wells. A central mud system with specialized cooling and solids control equipment was required to address over-warming of the bituminous sands. The final design also included computer-assisted rig moves, a differential pressure torque monitoring system and floor winches configured to apply pull-down force. This paper examines the planning process that involved close coordination between the operator and the drilling contractor, and the equipment used in the new rig design. The paper also reviews the drilling of 25 well pairs that allowed completion of the project under budget and four months ahead of schedule.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".