Evidence map›Paper›PMID 41781510›Full record

ArticleScientific reports2026

Molecular simulation of pore size effect on CH

Yang Bai, Leilei Yang, Biao Hu, Hang Long, Yibo Zhang, Aidong Li, Boyang Geng

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
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0citing papers in PubMed
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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

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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.

Yang BaiSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China. baiy@xust.edu.cn.
Leilei YangSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China.
Biao HuSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China.
Hang LongSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China.
Yibo ZhangSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China.
Aidong LiSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China.
Boyang GengSchool of Safety Science and Engineering, Xi'an University of Science and Technology, 58, Yanta Mid. Rd, Xi'an, 710054, Shaanxi, PR China.

Funding

National Natural Science Foundation of China No.52204237National Research and Development of China No.2023YFC3009002Young Talent Fund of Association for Science and Technology of Shaanxi Province No.20240458
6 · The paper itself

Abstract

Under the background of deep coal mining and low-carbon energy transformation, it is significant to study the gas adsorption mechanism and pore size regulation of coal to ensure the safe and efficient development of coalbed methane and promote the goal of Carbon Neutrality. Based on the GCMC method, a full pore size model of 0.4–200 nm is systematically constructed, and the adsorption behavior of CH4 in coal under different pressure conditions is simulated and analyzed, revealing the influence mechanism of pore size on adsorption characteristics. The results show that the micropore region (0.4–1.8 nm) is dominated by the coupling of potential fields on both sides of the pore wall, and the adsorption phase density is close to that of liquid methane, which conforms to D-A model. The mesoporous region (3–30 nm) shows multi-layer adsorption under the action of a single pore wall, and Langmuir model has the best fitting effect. The adsorption behavior of the macroporous region (50–200 nm) is close to that of free gas, which is more in line with BET multi-layer adsorption theory. By establishing the quantitative function relationship between the adsorption parameters such as V0(d), VL(d) and Vm(d) and the pore size, a comprehensive adsorption model suitable for the full pore size range was constructed. It was found that the adsorption phase density decreased in three stages as the pore size increased (micropores decreased by 40%, mesopores decreased by 63%). The model can accurately characterize the adsorption behavior of CH4 with full pore size, and the error is less than 6%. This error verifies the reliability of the constructed comprehensive adsorption model in predicting CH4 adsorption behavior in cross-scale pores, indicating that the model can effectively integrate the multi-adsorption mechanism dominated by micropore filling, mesoporous surface adsorption and macroporous multi-layer adsorption, which provides an important theoretical basis and prediction tool for accurate evaluation of coalbed methane reserves and optimization of development schemes.

Indexed as

Coalbed methaneFull pore sizesGrand canonical Monte Carlo methodIsothermal adsorption modelMolecular simulation

Identifiers

PMID41781510
PMCPMC13069105

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