Impact of engineered water in modulating the wettability of oil–brine–rock system for improved oil recovery
Bibliographic record
Abstract
Abstract Low salinity water injection stands as a progressive method for enhanced oil recovery, representing a current focus of extensive research. Understanding wettability alteration in crude oil is hindered by its intricate nature, posing a challenge for researchers. In order to better understand wettability alteration and underlying phenomena in an oil–brine–rock system, a fundamental study was carried out using pure hydrocarbon (aliphatic: n ‐heptane; aromatic: toluene) and crude oil on quartz surface against engineered water consist of monovalent (NaCl) and divalent (MgSO 4 ) salts in various compositions (NaCl:MgSO 4 : 100:0; NaCl:MgSO 4 : 0:100; NaCl:MgSO 4 : 75:25; NaCl:MgSO 4 : 50:50; NaCl:MgSO 4 : 25:75). The variables under investigation include temperature (25 to 65°C), pure hydrocarbons (toluene, n ‐heptane), crude oil (Indian offshore), and brine (B1 to B5) with concentration (0 to 20,000 ppm). The findings show that when brine solution contains solely NaCl salt at a concentration of 2000 ppm, n ‐heptane exhibits a minimum contact angle on quartz plate. Contrarily, toluene exhibits a low contact angle with a brine solution that only contains MgSO 4 salt at a concentration of 2000 ppm. The intriguing finding is that when monovalent and divalent salts are equal (NaCl:MgSO 4 : 50:50) in the brine, crude oil exhibits the smallest contact angle on quartz. Additionally, temperature and contact angle are directly related for all oil types. The optimal brine for achieving the minimum contact angle on quartz surface is (B1) 2000 for n ‐heptane, (B2) 2000 for toluene, and (B4) 2000 for crude oil for the current study. The study findings indicate that the alteration in wettability due to brine composition and salinity varies among different oil samples, characterized by purely aliphatic, aromatic, and mixed components, and it depends on the type of salt compositions. Higher salts concentration minimally affects n ‐heptane but influences toluene and crude oil contact angles.
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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 | 0.000 |
| 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) | 0.001 | 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".