Foam Stability of Solvent/Surfactant/Heavy-Oil System Under Reservior Conditions
Bibliographic record
Abstract
Abstract Solvent-based method is an important method for recovering heavy oil. In the case of solvent flooding, its sweeping efficiency might be adversely affected by the sharp difference in mobility between solvent and heavy oil. It is of great importance to develop new techniques for decreasing the mobility of solvent phase. Solvent-alternating-surfactant injection, where foam creation can be expected, might be a feasible approach for achieving such purpose by increasing the apparent viscosity of solvent phase. The foam stability plays an important role in this process. In this study, the foam stability of C3H8/surfactant/heavy-oil system under reservoir condition has been examined experimentally by using the pressure/volume/temperature (PVT) system. The following factors are considered in the experiments: surfactant concentration, salinity, temperature, and the presence of pure C16H34 as pseudo-heavy oil. During the experiments, foam is generated by sparging C3H8 at a constant flow rate through the surfactant Triton X-100 solution and then stirring the mixture with a magnetic stirrer. The foam stability is subsequently evaluated in terms of its height change as a function of time. The critical micelle concentration (CMC) of surfactant Triton X-100 is confirmed firstly by conducting three runs of experiments at three different surfactant concentrations. Then the foam stability tests are performed by using such validated CMC at different salt concentrations and different temperatures. It is found that the increasing surfactant concentration contributes to an increase in foam stability, while foam stability is insensitive to surfactant concentration when the surfactant concentration is above the threshold CMC. An elevated temperature is detrimental to foam stability. At a higher temperature, the effective surfactant CMC also increases. Foam stability is negatively affected by increasing salinity; but such negative effect is found to be in small scale. As the C16H34 is added to the solution, significant decrease of foam stability occurs.
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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 | 0.001 |
| 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".