Modeling Displacement Efficiency Improvement During Solvent Aided-SAGD
Bibliographic record
Abstract
Abstract Coinjection of small amounts of hydrocarbon solvents with steam has the potential to improve the oil recovery efficiency while reducing the energy intensity of conventional SAGD (steam assisted gravity drainage). A number of studies have reported lower residual oil saturations inside the coinjection chamber compared to SAGD. There is, however, no mathematical model available to predict the extent of such displacement efficiency improvement or to compare it during the coinjection of different solvents. This paper presents a mathematical procedure for the estimation of local displacement efficiency improvement in the coinjection process. Displacement efficiency is modeled as a function of local solvent accumulation, upon the arrival of coinjection chamber interface, and the temperature, as the region is swept by the chamber. The model is used to investigate the interaction of displacement efficiency improvement, ultimate bitumen recovery, and solvent retention inside the swept region, the last of which is of significant concern in large scale applications. The complex interaction of mass and energy flow is simplified without loss of the fundamental mechanisms and phase behavior details. Initially, phase equilibrium equations are solved to find the thermodynamic conditions inside and at the boundary of the coinjection chamber. Then, the saturation of phases as well as the retained amount of solvent are estimated along the temperature profile inside the chamber by making reasonable assumptions. The model is also used to investigate the impact of changing a solvent-steam coinjection ratio on the displacement efficiency improvement and/or solvent retention. Results indicate that coinjection can achieve improved displacement efficiency even without modifying the end point saturations of the relative permeability curves as a result of solvent coinjection. Eventually, the results are validated by using numerical simulations for the coinjection process. It is demonstrated that a robust understanding of phase behavior interaction with heat and solvent transport is critical to explaining the recovery mechanisms involved in solvent-aided SAGD.
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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) | 0.001 | 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".