An up-scaling approach for vapour extraction process in heavy oil reservoirs
Bibliographic record
Abstract
Although some studies are performed and a series of analytical models are developed, it has been found that current analytical models are not accurately predicting the production rate by VAPEX. This is largely because the diffusion used in the current model is based on a single fluid property (oil viscosity only) while other properties such as permeability, porosity and cementation factor carry large amount of uncertainties. The main objective of this study was to use the experimental data obtained from two-dimensional (2D) and three-dimensional (3D) physical models and develop a new and more accurate correlation for diffusivity that takes into account fluid and reservoir properties based on Butler's equation. In order to develop such an accurate correlation, various parameters such as porosity, cementation factor, permeability, and viscosity were included to history match the experimental data and tune the diffusivity correlation. Next the validity of the correlation was proved using 3D experimental data and data obtained from a field pilot test. It has been observed that diffusion rate is not only a function of viscosity but also it is a function of permeability, porosity, and cementation factor. [Received: October 16, 2013; Accepted: April 24, 2014]
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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".