Bibliographic record
Abstract
Abstract In recent years the addition of a hydrocarbon solvent (usually in the range of C4 to C20) to Cyclic Steam Stimulation (CSS) or Steam Assisted Gravity Drainage (SAGD) operations in heavy oil (bitumen) reservoirs has become an attractive process. We extend the idea of solvent addition to steam to a Vertical well Steam Drive (VSD), and investigate the recovery mechanisms, impact on the ultimate recovery and oil steam ratio. The process is studied in core flooding experiments and a CT scanner was used to monitor the saturation distribution over time. These results are history matched using Shell's in-house numerical reservoir simulator MoReS. The simulations show that the dominant recovery mechanism is facilitated through the formation of a solvent bank. Accurate modeling and understanding of the recovery mechanism enables optimal design of the solvent co-injection process in a vertical well steam drive. This allows a comparison between a VSD and a CSS development using solvent addition to steam and selection of the best development option for a given reservoir.
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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) | 0.002 | 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".