A Gas Seepage Modeling Study for Mitigating Gas Accumulation Risk in Upper Protective Coal Seam Mining Process

Joint Authors

Zhang, Cun
Zhang, Lei
Li, Mingxue
Wang, Chen

Source

Geofluids

Issue

Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2018-12-23

Country of Publication

Egypt

No. of Pages

11

Main Subjects

Physics

Abstract EN

Protective coal seam mining (PCSM) is one of the most significant mitigation measures of regional outburst in the process of deep coal seam mining, which has high outburst risk in China.

During the PCSM process, the phenomenon of methane concentration exceeding the limit usually occurs in the working face.

It is vital to understand factors affecting gas emission from the protective seam working face (PSWF) and to obtain an equation for determining the quantity of gas emission.

A gas seepage model (GSM) was developed to simulate the gas emission during the process of upper PCSM.

In this study, an equation was formulated to determine the quantity of gas desorbed from the protected seam into PSWF.

These equations have been developed by using Fick’s second law of diffusion and Darcy’s flow law.

The relationship between permeability and stress was described in an elastic-plastic state, and the mechanics of surrounding rock were investigated.

It can be concluded from GSM that the initial gas pressure of protected seam, the characteristics of interlayer rocks, and the ventilation pressure of PSWF were the main factors that influenced the desorption of gas emission from the protected seam into PSWF.

The developed GSM was tested for calculating gas emission quantity from the PCSM process by utilizing the actual geological condition data of a coal mine, which is located in Hancheng, China.

The results have shown great agreement with obtained field measurements, which is done by combining the fitting curve of ventilation air methane quantity for PSWF with an interlayer spacing.

A loss coefficient (δ) of 1.012 × 10−3 was obtained in this study.

American Psychological Association (APA)

Zhang, Cun& Zhang, Lei& Li, Mingxue& Wang, Chen. 2018. A Gas Seepage Modeling Study for Mitigating Gas Accumulation Risk in Upper Protective Coal Seam Mining Process. Geofluids،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1158592

Modern Language Association (MLA)

Zhang, Cun…[et al.]. A Gas Seepage Modeling Study for Mitigating Gas Accumulation Risk in Upper Protective Coal Seam Mining Process. Geofluids No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1158592

American Medical Association (AMA)

Zhang, Cun& Zhang, Lei& Li, Mingxue& Wang, Chen. A Gas Seepage Modeling Study for Mitigating Gas Accumulation Risk in Upper Protective Coal Seam Mining Process. Geofluids. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1158592

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1158592