Film Formation Behavior of a Hybrid Silicate System and Its Shale Hydration Inhibition Characteristics at Elevated Temperatures
Bibliographic record
Abstract
Wellbore instability is a great scientific and practical challenge in deep shale drilling. Forming a protective layer on shale surfaces is considered to be a promising method to maintain wellbore stability in oil and gas drilling operations. In this study, we explored a hybrid silicate, consisting of potassium methyl silicate (PMS) and inorganic silicates (R 2 SiO 3, R = K, Na, Li), as a shale stabilizer to inhibit shale hydration. Comprehensive tests were performed to evaluate the film forming performance of the hybrid silicates. The testing results showed that, compared to the inorganic silicates, the hybrid silicate system yielded a 58–68% reduction in the linear swelling rate of sodium bentonite (Na-Bt). Additionally, the hybrid silicate system exhibited a higher cutting recovery rate of 103% at 180 °C, attributed to the film formation on shale surfaces. The hybrid silicate can spontaneously crystallize to form a quartz film in situ on shale surfaces. The film, identified as crystalline silica (quartz), consists of reticulate nanofibers with controllable morphology, and the size depends on the alkali metal ions in the hybrid silicate. Hybrid silicates have superior shale inhibition properties compared to inorganic silicates, which can be ascribed to the chemical synergy between the potassium ions and PMS, as well as the unique film formation performance on shale surfaces at elevated temperatures higher than 150 °C. Consequently, we proposed a facile strategy with promising applications in shale formations, particularly in deep well drilling operations.
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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) | 0.000 | 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 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".