Evaluating Temperature Rate near the Wellbore Considering Slow Warm-Up Case for a Sagd Producer Well with Different Completion Configurations Using Dynamic Flow Simulations
Bibliographic record
Abstract
Abstract Temperature and pressure changes are drastic during the warm-up phase (steam circulation) of SAGD wells as a result of introducing heat to cold tubulars. These drastic changes will impact casings as well as cement. Impacts of circulation strategy (fast vs. slow warm-up) for 11 ¾ in. intermediate casing with dual parallel completion design, on cement and casing were investigated previously. Current work focused on analyzing the impact of slow warm-up on smaller intermediate casing size (9 5/8 in.) for dual parallel and single string completion designs, the second one with vacuum insulation tubing (VIT). The purpose of this paper is to complement the results of previous work in terms of using transient analysis to assess the impact of warm-up rates. The results of transient flow simulator data together with field data enable determining the effect of the warm-up period on different components of wellbore for different types of completions (small versus large wellbore, single versus dual string, uninsulated versus insulated tubing) from integrity perspective. In this study, the dynamic flow simulations indicated that time for steam to reach the toe was almost the same for the dual string and the single string with VIT. In addition, the single string with VIT design eliminated instabilities in operational parameters (e.g. pressure) observed in the case of dual string. However, the single string with VIT case indicated that the heating rate of cement between the intermediate and surface casing string is the highest.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".