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Gas Dispersion Coefficient Test System and Dimensionless Inversion Method for Porous Media.

Yueping Qin¹, Mingyan Guo¹, Fengjie Zhang¹

¹School of Emergency Management and Safety Engineering, China University of Mining & Technology, Beijing, Beijing 100083, PR China.

|December 4, 2023

Summary

Determining the gas dispersion coefficient in porous media is crucial for spontaneous coal combustion studies. This research developed a novel method to accurately measure this coefficient, revealing its impact on gas distribution and combustion risk.

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In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

In Situ Monitoring of Diffusion of Guest Molecules in Porous Media Using Electron Paramagnetic Resonance Imaging

Published on: September 2, 2016

Area of Science:

Geosciences
Chemical Engineering
Combustion Science

Background:

Spontaneous coal combustion in longwall gob areas is a significant concern.
The complex porous media structure complicates the determination of oxygen gas dispersion coefficients.

Purpose of the Study:

To design an experimental device for measuring gas diffusion coefficients in porous media.
To establish a dimensionless mathematical model and numerical simulator for gas dispersion.
To develop a dimensionless inversion method for determining the gas dispersion coefficient.

Main Methods:

Experimental design for gas diffusion coefficient testing.
Establishment of a dimensionless mathematical model.
Numerical simulation using the finite volume method (FVM).
Dimensionless inversion method for coefficient determination.

Main Results:

Experimental and numerical results for gas concentration distribution show consistency.
Gas concentration is highest near the injection point, decreasing with depth and distance.
Increased dimensionless gas dispersion coefficient shortens mixing time and widens coverage.
Larger pore spaces enhance gas dispersion; coefficient exhibits a parabolic trend with particle size.

Conclusions:

The developed method reliably determines gas dispersion coefficients in porous media.
Gas dispersion behavior is significantly influenced by porous medium properties and particle size.
Accurate gas dispersion coefficients are vital for predicting and mitigating spontaneous coal combustion.