Mechanism of Gas Desorption in Coal Particles under Different Positive Pressures: Experiments and Numerical Model

Han, Enguang and Hua, Ming (2022) Mechanism of Gas Desorption in Coal Particles under Different Positive Pressures: Experiments and Numerical Model. Adsorption Science & Technology, 2022. pp. 1-14. ISSN 0263-6174

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Abstract

The inaccurate calculation of the gas lost is the principal cause of inaccurate determinations of the coalbed methane content via air reverse circulation sampling (ARCS). The positive pressure environment has a significant impact on gas desorption during the sampling process. To obtain the gas desorption mechanism of coal particles under positive pressure, positive pressure desorption experiments were conducted on coal samples with different particle sizes under different adsorption equilibrium pressures using a self-designed positive pressure desorption experimental device. And a positive diffusion model for coal particles was established, in which the diffusion coefficient was calculated based on the results of the positive desorption experiments. The diffusion model was then used to simulate the diffusion capacity of coal particles and compared with the test data. The results show that the responses of the positive pressure desorption and atmospheric pressure desorption to the adsorption equilibrium pressure are similar. The gas desorption velocity increases as the adsorption equilibrium pressure increases. Positive pressure can effectively inhibit gas desorption. The initial gas desorption velocity decreases as the positive pressure and coal particle size increase. Concurrently, the entire sample desorption process during ARCS can be divided into three stages: a slow desorption stage, an accelerated desorption stage, and an atmospheric desorption stage. The relationship between the diffusion coefficient and the positive pressure exhibits an exponential distribution, and the positive pressure diffusion model can describe the gas diffusion from coal particles well. The results of this study could help to establish a gas loss compensation model for the ARCS process.

Item Type: Article
Subjects: Opene Prints > Engineering
Depositing User: Managing Editor
Date Deposited: 05 Dec 2022 09:06
Last Modified: 16 Jul 2024 06:54
URI: http://geographical.go2journals.com/id/eprint/540

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