Synergistic Effects of Nano‐SiO <sub>2</sub> and Amphiphilic Polymers on Enhanced Oil Recovery
Bibliographic record
Abstract
Abstract In this study, the polymerizable surfactant monomer DAAC 12 and modified nano‐silica SiO 2 ‐NHMA were synthesized. These two monomers were then copolymerized with acrylamide (AM) and acrylic acid (AA) via free radical polymerization to produce a quaternary copolymer, PAMDS, which exhibits surface‐active properties. The polymers were structurally characterized by FT‐IR, 1 H NMR, TG, and SEM, and their characteristic viscosities as well as molecular weights were determined by dilution method. The effects of temperature on the copolymers were investigated, and PAMDS was evaluated for its temperature resistance, salt resistance, shear resistance, emulsification capacity, and oil–water interfacial tension. The results demonstrated that the incorporation of functional monomers significantly enhanced the polymer's temperature resistance, salt resistance, and shear resistance, while also improving its emulsification ability. Furthermore, at a polymer concentration of 3 g/L, the oil–water interfacial tension was reduced to 7.9 mN/m, representing a 75.5% decrease compared to that in pure water. Core flooding experiments were conducted to evaluate the oil displacement efficiency of PAMDS. The results revealed that PAMDS achieved a recovery rate of 22.1% at 65 °C, which was 8.6% higher than that of the HPAM. These findings indicate that PAMDS exhibits superior potential for enhanced oil recovery applications.
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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".