Foamy Oil Behaviour in Solvent Based Production Processes
Bibliographic record
Abstract
Abstract Foamy oils, generated during cold production, have also been detected in solvent based recovery processes. Understanding the foamy oil mechanism is key to determining how oil is produced in processes such as Cyclic Solvent Injection (CSI). Visual observations of solvent exsolving from solution during depressurization were performed to gain a better understanding of these processes. Heavy oil saturated with CO2, CH4, C3H8 and a combination of CO2 and C3H8 are examined in an etched glass micromodel. Three different expansion rates are examined. The results indicate that CO2 and CH4 show an extreme supersaturation. CO2 saturated oil produces more nucleation sites than CH4, C3H8 and a mixture of CO2 and C3H8. Approximately 8 times more nucleation sites were produced with CO2 than with CH4. With more nucleation sites, there is a greater potential for oil recovery with solution gas drive. The experiments conducted here provide a qualitative understanding of the foamy oil process and aid in the understanding of solvent based enhanced oil recovery mechanisms such as Cyclic Solvent Injection (CSI).
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.
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 | 0.001 |
| 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".