Coal seam roof stability prediction and evaluation based on GIS platform with multiple data sets

Wang Huaihong; Gong Gu; Lv Dawei

doi:10.1071/ASEG2012ab424

ISSN: 2202-0586
E-ISSN:

oa Coal seam roof stability prediction and evaluation based on GIS platform with multiple data sets
Authors Wang Huaihong^a, Gong Gu^b and Lv Dawei^c
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^a Shandong Bureau of Coal Geology, Taian Shandong province China, [email protected] ^b Shandong Bureau of Coal Geology, Taian Shandong province China, [email protected] ^c Shandong University of Science and Technology, Qingdao Shandong province China, [email protected]
Publisher: Australian Society of Exploration Geophysicists
Source: ASEG Extended Abstracts, Volume 2012, Issue ASEG2012 - 22nd Geophysical Conference, Dec 2012, p. 1 - 3
DOI: https://doi.org/10.1071/ASEG2012ab424
- Published online: 01 Dec 2012

Abstract

Summary

This paper, based on GIS technology, combines multiple data sets such as three-dimensional seismic data, drilling, geophysical logging and mining geology data to evaluate and predict the stability of the coal seam roof. By analysing every factor affecting the stability of the coal seam roof, we establish an evaluation model of the coal seam roof stability, and we take the first mining area of coal seam 3 of Longgu Mine from the Juye Coalfield as an example to predict the stability of the coal seam roof.

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2012-12-01

2026-01-16

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References

Hou, G., 1997, Truss support nursing and its applications: China University of Mining, Beijing.
Liu, H., 2004, The Stability Evaluation of Main Coal Seam’s Roof in Yanzhou Coalfield: Shandong University of Science and Technology, Taian, Shandong Province.
Xie, H., 1998, China Coal Energy century technology trends and prospects, sustainable development and equality and Coal Industry Report Collection,: Coal Industry Press, Beijing, l-15.
Xu, H., 2001, GIS-based information on a comprehensive assessment of geological hazards multivariate model: Central South University, Changsha.
Wang, H., 2007, Roof stability prediction method of coal seam 3 at Juye Mine using multi-source information: Shandong University of Science and Technology.

/content/journals/10.1071/ASEG2012ab424

Article Type: Research Article

Keyword(s): coal seam roof; evaluation; multi-source information; predict; stability

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oa Coal seam roof stability prediction and evaluation based on GIS platform with multiple data sets

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