SAGD Circulation Phase: Thermal Efficiency Evaluation of Five Wellbore Completion Designs in Lloydminster Reservoir
Bibliographic record
Abstract
Abstract The main objective during the circulation phase (start-up) of Steam Assisted Gravity Drainage (SAGD) is to lower the heavy oil or bitumen viscosity, to create inter-well fluid communication between the injector and producer well and to uniformly warm-up the lateral section of the well pair to achieve uniform steam chamber growth during the life of the SAGD well pair. Typically, the circulation phase (start-up) lasts between three and six months and it is completed when the temperature between the producer and injector is high enough, generally greater than 80°C. It has been proven that during the circulation phase (start-up) of a SAGD well pair, the variations in thermal efficiency result from factors such as tubing size, well trajectory, well length, completion configuration, reservoir properties, and operating parameters. There is not any published study performed in the Lindbergh area in Alberta, Canada that determines the thermal efficiency of different completion designs during the circulation phase (start-up) of a SAGD well pair in a Lloydminster formation. Therefore, in a previous study, a discretized thermal reservoir/wellbore modelling simulator (Exotherm, 2016) was used to history-match field data obtained from a SAGD well pair in the Lloydminster area, and, subsequently, this paper uses the simulation model to evaluate and compare the thermal efficiency of five different completion design cases during the SAGD circulation phase (start-up) in the Lloydminster formation. These completion designs include: bare tubing in a dual string, vacuum insulated tubing (VIT) in a dual string and single string, and gas blanket (methane) in a concentric string. The results show that completion design configuration impacts the heat transfer and thermal efficiency of the circulation process.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".