Evidence map›Paper›PMID 42505271›Full record

ArticleGels (Basel, Switzerland)2026

A Covalently Micro-Crosslinked Anionic Copolymer-Based Microgel for High-Temperature and Salt-Tolerant Water-Based Drilling Fluids.

Haokun Shen, Jinsheng Sun, Zhenhua Zhang, Xin Zhang, Weijun Yan, Rugang Yao, Hongyan Du, Yuan Geng, Guowei Zhou, Yihua Xu and 1 more

Abstract read
In one paragraph

Article in Gels (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Haokun ShenCNPC Great Wall Drilling Company, Beijing 100101, China.ORCID 0000-0002-8328-6336
Jinsheng SunKey Laboratory of Unconventional Oil & Gas, Development Ministry of Education, Qingdao 266580, China.
Zhenhua ZhangCNPC Great Wall Drilling Company, Beijing 100101, China.
Xin ZhangCNPC Great Wall Drilling Company, Beijing 100101, China.
Weijun YanCNPC Great Wall Drilling Company, Beijing 100101, China.
Rugang YaoCNPC Great Wall Drilling Company, Beijing 100101, China.
Hongyan DuCNPC Great Wall Drilling Company, Beijing 100101, China.
Yuan GengCNPC Engineering Technology R&D Company Ltd., Beijing 102206, China.
Guowei ZhouCNPC Great Wall Drilling Company, Beijing 100101, China.
Yihua XuCNPC Great Wall Drilling Company, Beijing 100101, China.
Yang ZhangKey Laboratory of Unconventional Oil & Gas, Development Ministry of Education, Qingdao 266580, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fluid-loss additives play a critical role in maintaining the stability and filtration-control performance of water-based drilling fluids during deep and high-temperature drilling operations. However, the development of microgel-based additives with both exceptional thermal stability and strong salt tolerance remains a major challenge under harsh drilling conditions. In this study, a covalently micro-crosslinked anionic copolymer-based microgel (PAAN) was synthesized via free-radical copolymerization of acrylamide, 2-acrylamido-2-methylpropane sulfonic acid, and N-vinylpyrrolidone using N,N'-methylenebisacrylamide as the crosslinking agent. The chemical structure of PAAN is consistent with the design, with excellent thermal stability, and the starting temperature for thermal decomposition of polymer molecular chains is 297 °C. The weight average molecular weight of PAAN is 1.3396 × 10

Indexed as

fluid-loss additivehigh-temperature stabilitymicrogelssalt resistancewater-based drilling fluid

Identifiers

PMID42505271
PMCPMC13409077

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.