Freeze application to replace damaged wellhead equipment
Bibliographic record
Abstract
At a Steam Assisted Gravity Drainage （SAGD） project on Japan Canada Oil Sands Limited （JACOS）, CANADA, steam leakage from a wellhead of a steam injector was discovered. The steam injection was ceased to eliminate the effects on the environment. Some damages on the wellhead were suspected as the cause of the leakage. In order to inspect an inside of the wellhead due to steam leakage, a “Freeze Application （Ice Plug）” without killing the steam injector was safely applied to remove the wellhead. The integrity of the ice plugs was confirmed by pressure tests, and then steam leakage points at the wellhead were safely remedied with minimal fluid loss to the formation. A typical “Freeze Application” process is shown as below. 1） An area is displaced with a “plug” of uncontaminated bentonite gel mixed to thick slurry. 2） The gel plug is frozen in place by use of dry ice （solid form of carbon dioxide） contained in a cribbing and tamped manually to keep in contact with the area to be frozen at all the times. 3） Pressure testing is always conducted to one and a half times the surface pressure of the well, or to the maximum wellhead pressure rating. In this paper, it consists of background of the steam leakage from the objective steam injector, investigation of remedial action, and then selection and introduction of “Freeze Application”.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".