Simulation of Vapex Process in Problematic Reservoirs: A Promising Tool Along with Experimental Study
Bibliographic record
Abstract
Abstract Large heavy oil resource presents in reservoirs containing overlying gas cap. However, production from such reservoir is challenging. At the moment there is no proven recovery technique that can be successfully applied to these viscose oil reserves. Recently, vapour extraction process (Vapex) is introduced as an attractive alternative method for such problematic reservoirs. The objective of this study is to investigate the applicability of Vapex process in reservoirs containing gas cap. This paper is grouped into two parts (i) developing a validated numerical model via experimental data to carry out sensitivity analysis of different parameters which are expensive and difficult to perform on experimental setup (ii) screening study of the Vapex process to real reservoir by using simulation model. The results show that small gas cap can even be advantageous in this process and improves the recovery by expending the interfacial mass transfer rate and the inter-well communication. In addition, there is a threshold value for the ratio of initial gas to oil volume which beyond that the process loses its efficiency. Moreover, increasing the lateral spacing between the injector and producer is not beneficial in the presence of a small gas cap.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".