Detailed History Matching of a SAGD Well Pair Using Discretized Wellbore Modeling
Bibliographic record
Abstract
Abstract Circulation of steam during the start-up of a well pair is required for the SAGD process where there is limited fluid mobility, as it helps establish communication for flow between the injector and producer well. The majority of the modeling encountered to date for the circulation period either assumed a source/sink constraint, used a horizontal discretized wellbore model with sand face coupling, or used a pseudo-steady state wellbore flow model only. The above methodologies do not take into account 1) the heat transfers and pressure behavior among the different tubing strings, 2) the change in conditions from sand face to wellhead, and 3) the fluid interaction between the wellbore and reservoir. Using a thermally-coupled wellbore-reservoir simulator, a discretized wellbore model was constructed to allow a detailed history matching for the circulation period of the M-well pair at the Hangingstone Demo pilot. The history-matched circulation period helped better understand the effects of hydraulics, heat transfers between tubing strings and the impact of fluid losses on reservoir heating. This knowledge will help Japan Canada Oil Sands Limited (JACOS) design the operating philosophy for the Hangingstone Expansion wells. The paper will discuss how the matching was achieved along with the observations made.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".