Physical Modeling of Solvent-Assisted SAGD
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Physical modeling of heavy oil recovery processes is a critical step in evaluating their technical feasibility. Results from physical modeling studies, in conjunction with simulation and analytical modeling, are key to technically justifying field trials and pilots. Proper scaling of reservoir model dimensions, reservoir properties and energy boundary conditions, operating condition monitoring and control, and production data analysis are very important aspects of physical model design and operation for evaluating the performance of a heavy oil recovery process. This paper describes physical modeling and performance evaluation of the Solvent-Assisted SAGD (SA-SAGD) process applied to Athabasca oil sand reservoirs with focus on process optimization under low operating pressure condition. The paper presents the design features of the physical model used for testing that ensures reliability and reproducibility of the experimental results. The results of laboratory testing are shown with emphasis on demonstrating the reliability and reproducibility of the test results.
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.
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 it