Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining

Joint Authors

Chen, Yun
Wang, Xinyi
Zhao, Yanqi
Shi, Haolin
Liu, Xiaoman
Niu, Zhigang

Source

Geofluids

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-15, 15 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-11-09

Country of Publication

Egypt

No. of Pages

15

Main Subjects

Physics

Abstract EN

Taking the Suiqi coalfield located in North China as the object, where the coal seam burial depth is more than 1100 m, the water abundance of the roof pore thermal storage aquifer is better than average, the ground temperature is abnormally high, and hydrogeological data are relatively lacking, this paper selects and determines eight index factors that influence the mining of the coalfield.

Based on the analytic hierarchy process (AHP), the index factor weight is defined, and then, the threat degree of the roof thermal storage aquifer to the coal mining is quantitatively evaluated and divided by using the fuzzy variable set theory.

The evaluation results show that the threat degree of the roof in the eastern region is generally greater than that in the western region and that the closer it is to the coal seam outcrop line, the higher the threat degree is; near the boreholes, in the areas Qs1,Qs5, Qs8, Sx1, Tk5, Zc4, and Zc7, which are close to the hidden outcrop line of the coal seam, the classification characteristic value of the threat degree is greater than 3.5, which is in the high-threat zone for disasters caused by roof thermal storage aquifers during coal seam mining.

The area above the medium-threat zone accounts for 71.82% of the total study area, indicating that deep coal mining is affected by multiple factors and that roof water and heat disasters are more likely to occur.

American Psychological Association (APA)

Chen, Yun& Wang, Xinyi& Zhao, Yanqi& Shi, Haolin& Liu, Xiaoman& Niu, Zhigang. 2020. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining. Geofluids،Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1166296

Modern Language Association (MLA)

Chen, Yun…[et al.]. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining. Geofluids No. 2020 (2020), pp.1-15.
https://search.emarefa.net/detail/BIM-1166296

American Medical Association (AMA)

Chen, Yun& Wang, Xinyi& Zhao, Yanqi& Shi, Haolin& Liu, Xiaoman& Niu, Zhigang. Quantitative Evaluation for the Threat Degree of a Thermal Reservoir to Deep Coal Mining. Geofluids. 2020. Vol. 2020, no. 2020, pp.1-15.
https://search.emarefa.net/detail/BIM-1166296

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1166296