Wettability alteration of reservoir rocks to gas wetting condition: A comparative study
Bibliographic record
Abstract
Abstract Productivity of gas condensate reservoirs reduces significantly due to the near wellbore condensate/water blockage phenomenon. A novel, permanent solution to alleviate this problem is near wellbore wettability alteration of reservoir rocks to preferentially gas wetting conditions; industrial chemical materials are good candidates for this purpose, because of their eco‐friendly characteristics, economical price, and mass production. In this paper, a comparative study is conducted on two industrial fluorinated chemicals, MariSeal 800 and SurfaPore M. Static and dynamic contact angle measurements, spontaneous imbibition, and core flooding tests were conducted to investigate the effect of utilized chemical agents on surface wetting behaviour and fluid flow characteristics of rock samples. Contact angle measurements demonstrate that the liquid phase is changed to a non‐wetting phase after chemical treatment and MariSeal 800 has a greater potential to decrease the surface free energy of the calcite surface. Although both chemicals reveal great potential in static contact angle measurements, further experiments were conducted to distinguish between their abilities. Spontaneous air liquid imbibition tests and endpoint relative permeability measurements approved the potential of utilized chemicals to improve liquid phase mobility and decrease critical condensate saturation, which improve production parameters and reservoir productivity. Liquid phase endpoint relative permeabilities of sandstone core samples were improved by factors of 1.74 and 2.62; furthermore, irreducible liquid phase saturations were decreased by factors of 0.68 and 0.5 using MariSeal 800 and SurfaPore M chemicals. The results of this research help efficient selection of chemical agents for further field 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".