Influence of different minerals of sandstone rocks on the retention of scale inhibitor
Bibliographic record
Abstract
Abstract An effective method for controlling scale formation near production wells is the squeeze treatment using a scale inhibitor. The scale inhibitor injected into the well is retained in the rock matrix and gradually released during the oil production, preventing scale formation. This study explored the interaction between a scale inhibitor, aminotrimethylene phosphonic acid (ATMP), and some mineralogical components of sandstone formations using batch experiments. The experiments were performed for each individual pure mineral phase (quartz, feldspar, kaolin, and biotite), as well as for combinations of these phases, in order to determine whether the retention curves for mixed systems may be derived from the curves of the individual constituents. Moreover, the impact of temperature and pH on the inhibitor retention mechanisms (adsorption and/or precipitation) was also evaluated. Biotite exhibited the highest retention among the evaluated pure minerals (70 mg/g), while aluminium released from feldspar and kaolin influenced retention through complexation with the inhibitor. These results emphasize the critical role of mineralogical composition in scale inhibitor retention and support the selection and formulation of more effective squeeze treatments in sandstone reservoirs.
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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".