Evidence map›Paper›PMID 41516711›Full record

ArticleSensors (Basel, Switzerland)2026

Assessing the Influence of Confining Pressure on the Consolidation of Granular Bulk Models Using an Integrated Sensor System.

Evgenii Kozhevnikov, Mikhail Turbakov, Zakhar Ivanov, Daniil Katunin, Evgenii Riabokon, Evgenii Gladkikh, Mikhail Guzev

Abstract read
In one paragraph

Article in Sensors (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

7 authors.

Evgenii KozhevnikovLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.ORCID 0000-0002-6084-0795
Mikhail TurbakovLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.ORCID 0000-0002-9336-5847
Zakhar IvanovLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.ORCID 0009-0001-7957-8280
Daniil KatuninLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.
Evgenii RiabokonLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.ORCID 0000-0003-0555-3977
Evgenii GladkikhLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.
Mikhail GuzevLaboratory of Natural Gas Hydrates, Perm National Research Polytechnic University, Perm 614990, Russia.ORCID 0000-0001-9344-154X

Funding

Ministry of science and higher education of the Russian Federation Project № FSNM-2024-0008
6 · The paper itself

Abstract

Large-scale bulk models offer a promising approach for the experimental investigation of flow in porous media. However, conventional configurations frequently lack adequate confinement systems, resulting in model instability under dynamic flow conditions. This paper introduces a novel experimental apparatus designed for large-scale porous media flooding studies. The porous medium is represented by a tubular granular bulk model measuring one meter in length and 95 mm in diameter. An integrated array of distributed pressure, temperature, and electrical resistance sensors allows for the acquisition of a longitudinal pressure profile, the evaluation of the model's consolidation state, and the assessment of its stress sensitivity. Comparative studies of filtration processes are presented for a granular bulk model under both confined and unconfined conditions. The results indicate that in the absence of confinement, the model exhibits high sensitivity to pressure differentials, manifesting as a nonlinear relationship between flow rate and pressure drop alongside significant fluctuations in electrical resistance. Conversely, cyclic loading under confining pressure promotes uniform and stable consolidation of the model, thereby minimizing hysteresis and particle displacement. These findings underscore that effective confinement is critical for ensuring the representativeness of data derived from large-scale bulk models of unconsolidated porous media.

Indexed as

confining pressuregranular bulk modelpermeabilityporosity

Identifiers

PMID41516711
PMCPMC12788294

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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.