Evidence map›Paper›PMID 38343964›Full record

ArticleACS omega2024

A Coupled Model for Upscaling Water Flow in a Shale Matrix System from Pore Scale to Representative Elementary Area Scale.

Yu Yang, Wanghong Long, Jingyi Yang, Tao Liu

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2024. 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, top 99% of its field
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, 0 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Yu YangShanghai Key Laboratory of Multiphase Materials Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
Wanghong LongShanghai Key Laboratory of Multiphase Materials Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, PR China.
Jingyi YangInternational Joint Research Center of Green Energy Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, PR China.ORCID https://orcid.org/0000-0002-4694-7860
Tao LiuShanghai Key Laboratory of Multiphase Materials Chemical Engineering, School of Chemical Engineering, East China University of Science and Technology, Shanghai 200237, PR China.ORCID https://orcid.org/0000-0003-2880-664X
East China University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding water transport in pore structures is essential for studying the impact of water leakage on oil and gas development in shale reservoirs. Previous apparent liquid permeability models have focused on describing the flow mechanism and paid less attention to the quantification of multiscale porous media within real samples and the convenience of numerically calculating multiscale flow-solid coupling. This study presents a multicomponent, multiscale pore spatial model by combining a representative elementary area (REA)-scale shale matrix grid model and fractal conical micropipe bundle model, facilitating quantification of the complex pore space in shale. The well-researched water-transport behavior in nanopores was then increased to describe REA-scale shale. The results show that the fractal conical micropipe model is more suitable for describing the heterogeneous pore structures of shale components than the fractal capillary bundle model. Wettability and fluid viscosity are key factors affecting the permeability enhancement of organic matter (OM) and inorganic matter (IOM), respectively. The degree of influence of OM heterogeneity on the total permeability of REA-scale shale depends on the total organic carbon content and permeability contrast between OM and IOM. Finally, an empirical model describing the macroscopic apparent liquid permeability of shale matrices was established that could quantify the effects of scale and porosity and permeability heterogeneity on permeability in shale matrices. The findings of this study can help us to better understand pore systems and fluid flow phenomena in shale matrices.

Identifiers

PMID38343964
PMCPMC10851231
OpenAlexW4391247696

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.