Bibliographic record
Abstract
Abstract A heavy oil reservoir, namely the Lloydminster sand situated in the Delmas field in the province of Saskatchewan, Canada was developed in the 1970 to 1980 period for enhanced thermal recovery via steamflooding. The entire field required complete abandonment and numerous innovations were employed to address the challenges that existed during the execution of the abandonment operations. The producing wells were completed with slotted liners installed adjacent to the producing formation. In order to effectively abandon this horizon via remedial cementing it was necessary to establish communication with the area adjacent to the top of the reservoir. This was accomplished via Sanjel's abrasive jetting technique with nitrogen assist for improved penetration. Once a satisfactory feedrate with this area was achieved, then the remedial cementing activity utilizing Sanjel's low rate cement squeeze technique1 was employed. Also, surface casing vent gas flow and intermediate casing failure interventions were necessary during the abandonment operations. The cement design for all cementing activities was required to address the current reservoir temperatures as well as future concerns if this reservoir was redeveloped again incorporating advanced technologies. This paper summarizes the entire abandonment operations highlighting the innovations employed to successfully complete the obligation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".