Evidence map›Paper›PMID 40949222›Full record

ArticleACS omega2025

Preparation and Self-Growth Characteristics of In Situ Self-Growing Dispersed Gel System for Offshore Large-Well-Distance Reservoirs.

Yuanyuan Bai, Yang Wen, Wanfen Pu, Wen Fang, Xing Jin

Abstract read
In one paragraph

Article in ACS omega, 2025. 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

5 authors.

Yuanyuan BaiSchool of Petroleum and Gas Engineering, Southwest Petroleum University, Chengdu 611130, China.
Yang WenZhundong Oil Production Plant, Xinjiang Oilfield Company, PetroChina, Fukang, Xinjiang 831511, China.
Wanfen PuSchool of Petroleum and Gas Engineering, Southwest Petroleum University, Chengdu 611130, China.
Wen FangZhundong Oil Production Plant, Xinjiang Oilfield Company, PetroChina, Fukang, Xinjiang 831511, China.
Xing JinTianfu Yongxing Laboratory, Chengdu 611130, China.ORCID https://orcid.org/0000-0002-5030-6441

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The loose sandstone oil reservoirs in the sea mostly adopt gravel packing completion, which leads to a decrease in permeability in the near-well area. Conventional blocking agents were difficult to simultaneously meet the requirements of water cut reduction and oil production increase. Therefore, this paper constructs a temperature-resistant in situ self-growing dispersed gel system and evaluates its displacement performance. The research results show that the formulation of the dispersed gel system is optimized through thermogravimetric analysis, with the monomer concentration determined to be 12 wt % and the cross-linking agent concentration determined to be 0.7 wt %. To improve injectability, the initial water content of the preinjected emulsion is selected as 40%, and its solubilization ability is determined to be 498.8%. During the solubilization process (from 40% to 80% water content), the viscosity increases from 67.89 to 3836 mPa·s. The influence of the change in emulsion water content during the solubilization process on the particle size of the dispersed gel particles is clarified; that is, the particle size first increases and then decreases, reaching the maximum at 70%, and the particle size distribution range becomes wider. In addition, this dispersed gel system shows good strength and long-term stability under different salinities. This study provides a new idea for controlling water and increasing oil production in large well-spacing, loose sandstone oil reservoirs in the sea.

Identifiers

PMID40949222
PMCPMC12423894

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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.