Evidence map›Paper›PMID 41656340›Full record

ArticleScientific reports2026

Optimization and mechanistic insights into SiO

Behrooz Ahmadi, Eghbal Sahraei

Abstract read
In one paragraph

Article in Scientific reports, 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

2 authors.

Behrooz AhmadiFaculty of Petroleum and Natural Gas Engineering, Sahand University of Technology, Tabriz, Iran.
Eghbal SahraeiFaculty of Petroleum and Natural Gas Engineering, Sahand University of Technology, Tabriz, Iran. sahraei@sut.ac.ir.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pickering emulsions have gained considerable attention for water mobility control because of their high kinetic stability and resistance to coalescence under harsh reservoir conditions. Here, SiO2 nanoparticles (NPs) combined with cetyltrimethylammonium bromide (CTAB) were used to stabilize emulsions for flow diversion in dual-permeability porous media. The novelty of this work lies in integrating a Box–Behnken experimental design (BBD) with quantitative analysis to evaluate the individual and interactive effects of NPs concentration, surfactant concentration, and water-to-oil (W/O) ratio on emulsion stability and to develop a predictive correlation for the stability index (SI). The model showed excellent agreement with the experimental data (R2 = 0.9849), identifying NPs concentration as the dominant factor and revealing a significant NPs–surfactant interaction, with an optimal W/O ratio near 60/40. Thermal analysis indicated that the emulsions remained stable up to 80 °C; above this temperature, droplet size increased markedly (47 μm to 149 μm), accompanied by a decrease in stability. Rheological measurements confirmed shear-thinning behavior: viscosity increased from 30 to 57 mPa.s with increasing water fraction and decreased to 15 mPa.s at 120 °C. Micromodel flooding demonstrated effective flow diversion, increasing oil recovery from 46% (50/50) to 68% (75/25) under seawater (SW) flooding, whereas high-salinity conditions reduced recovery to approximately 27–34%.

Indexed as

Emulsion stabilityMobility controlNanoparticles (NPs)Pickering emulsionsRheological behavior

Identifiers

PMID41656340
PMCPMC12948974

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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.