The Utilization of Self-Crosslinkable Nanoparticles as High-Temperature Plugging Agent in Water-Based Drilling Fluid
Bibliographic record
Abstract
Summary The increasing exploration of oil/gas resources in unconventional reservoirs, such as deep layers and shale formation, hinges on the development of high-performance drilling fluids under harsh environments. In this work, self-crosslinkable nanoparticles [poly(methyl methacrylate/styrene/2-acrylamido-2-methyl-1-propanesulfonic acid (PMS)/N-(hydroxymethyl)acrylamides (PMSNs)] were prepared and utilized as a plugging agent to realize micropore plugging at high temperatures. The obtained PMSN possesses long-term colloidal stability in conventional storage and high-temperature aging cases. Incorporating thermal crosslinking property brought PMSN post-crosslinking behavior during thermal treatment and improved the thermal stability, as verified by Fourier transform infrared spectrometer (FT-IR) and thermogravimetric analysis (TGA) tests. Additionally, PMSN is emulsifier-free and compatible with bentonite-based drilling fluid without foaming problems. Compared with conventional rigid nanosilica (NS) and flexible nanopolyester (NP-1), PMSN can improve the hole-cleaning efficiency of sodium bentonite (Na-Bent) dispersion by increasing viscosity and yield point (YP), especially after thermal aging. Its filtration-reduction and clay core plugging performance at room temperature are between NS and NP-1, ascribing to the rigid core and partial flexible shell structures of PMSN. However, at high-temperature, high-pressure (HTHP) conditions, PMSN with self-crosslinked structures have superior micropore plugging performance over NS and NP-1. A statistical-significant model was established based on response surface methodology (RSM) to illustrate the main and interactive effects of PMSN dosage, aging temperature, and time on the HTHP micropore fluid loss. The optimal plugging can be obtained after high-temperature aging when self-crosslinking happened. The specific self-crosslinking plugging mechanism of PMSN is the combination of interior self-crosslinking in water and interparticle crosslinking in the deposited plugging layer.
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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".