Evidence map›Paper›PMID 41526434›Full record

ArticleScientific reports2026

Study on CO

Yifu Zhang, Yu Xu, Xuefeng Chen, Zikun Pi, Qiannan Xie, Kunpeng Liao

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

6 authors.

Yifu ZhangSchool of Safety and Management Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Yu XuSchool of Resources and Safety Engineering, Central South University, Changsha, 410083, China. xy1235813@csu.edu.cn.
Xuefeng ChenSchool of Safety and Management Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Zikun PiSchool of Safety and Management Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Qiannan XieSchool of Safety and Management Engineering, Hunan Institute of Technology, Hengyang, 421002, China.
Kunpeng LiaoSchool of Safety and Management Engineering, Hunan Institute of Technology, Hengyang, 421002, China.

Funding

Changsha Municipal Natural Science Foundation kq2502022College Students Innovation and Entrepreneurship Training Program of Hunan Province S202311528144National Natural Science Foundation of China 52274247Natural Science Foundation of Hunan Province 2021JJ30206Natural Science Foundation of Hunan Province 2025JJ60312Scientific Research Foundation of Hunan Provincial Education Department 21A0572
6 · The paper itself

Abstract

The competitive adsorption of CH4/CO2 in shale has consistently garnered significant attention as a means to enhance the recovery efficiency of shale gas reservoirs. A theoretical formula for a binary gas competitive adsorption rate model was formulated to investigate the adsorption and desorption characteristics and the evolution patterns of carbon dioxide (CO2) displacing methane (CH4) in shale. This formula was integrated into the lattice Boltzmann method (LBM) to simulate the displacement process of CH4 by CO2, addressing competitive adsorption challenges associated with binary gases exhibiting adsorption/desorption behaviors. The research findings reveal that the proposed theoretical model accurately captures the competitive adsorption dynamics between CO2 and CH4, elucidating the patterns of adsorption and desorption characteristics during the displacement of CH4 by CO2. This insight is pivotal for understanding the microscopic mechanisms underlying CO2-induced CH4 displacement. The displacement process is dynamic, marked by concurrent adsorption and desorption of CO2 and CH4, ultimately converging to an equilibrium state where CO2 adsorption and CH4 desorption coexist. Notably, the time taken for CO2 to attain equilibrium is marginally delayed compared to CH4. Moreover, the concentration of injected CO2 substantially influences the dynamics of CO2 replacing CH4, as the CO2 injection concentration increases, both the adsorption rate of CO2 and the desorption rate of CH4 augment, while the time required to reach equilibrium in the adsorption/desorption process diminishes. This implies that CO2 injection effectively facilitates CH4 desorption. Additionally, models with higher porosity exhibit enhanced permeability, resulting in accelerated adsorbate diffusion rates and improved displacement efficiency. The heterogeneity of the pore structure exerts a pronounced impact on the velocity distribution within the flow field, which in turn significantly influences the concentration field distribution of CO2 and CH4. It is worth noting that the distribution characteristics of the two gases within the flow field and their concentrations within the particles are complementary. The results underscore that carbon dioxide injection can enhance methane desorption, thereby improving shale gas recovery.

Indexed as

Adsorption/desorption behaviorDisplacement processLattice Boltzmann methodNumerical simulationPorous media

Identifiers

PMID41526434
PMCPMC12877114

What OpenQuestion holds

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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.