LAPSE:2023.29854
Published Article
LAPSE:2023.29854
Microseismic Temporal-Spatial Precursory Characteristics and Early Warning Method of Rockburst in Steeply Inclined and Extremely Thick Coal Seam
April 14, 2023
Abstract
Early warning of a potential rockburst risk and its area of occurrence helps to take effective and targeted measures to mitigate rockburst hazards. This study investigates the microseismic (MS) spatial-temporal precursory characteristic parameters in a typical steeply inclined and extremely thick coal seam (SIETCS) with high rockburst risk and proposes three spatial/temporal quantification parameters and a spatial-temporal early warning method. Analysis results of temporal parameters show that the sharp-rise-sharp-drop variation in total daily energy and event count can be regarded as a precursor for high energy tremor. The appearance of peak values of both energy deviation (≥20) and event count deviation (≥1) can be regarded as precursors that indicate imminent rockburst danger. A laboratory acoustic emission (AE) experiment reveals that precursor characteristics obtained from the study can be feasibly used to warn the rockburst risk. The spatial evolution laws of spatial parameters show that the high energy density index of MS (EDIM), velocity, velocity anomaly regions correlate well with stress concentration and rockburst risk areas. The field application verifies that the temporal-spatial early warning method can identify the potential rockburst risk in a temporal sequence and rockburst risk areas during the temporal early warning period.
Early warning of a potential rockburst risk and its area of occurrence helps to take effective and targeted measures to mitigate rockburst hazards. This study investigates the microseismic (MS) spatial-temporal precursory characteristic parameters in a typical steeply inclined and extremely thick coal seam (SIETCS) with high rockburst risk and proposes three spatial/temporal quantification parameters and a spatial-temporal early warning method. Analysis results of temporal parameters show that the sharp-rise-sharp-drop variation in total daily energy and event count can be regarded as a precursor for high energy tremor. The appearance of peak values of both energy deviation (≥20) and event count deviation (≥1) can be regarded as precursors that indicate imminent rockburst danger. A laboratory acoustic emission (AE) experiment reveals that precursor characteristics obtained from the study can be feasibly used to warn the rockburst risk. The spatial evolution laws of spatial parameters show that the high energy density index of MS (EDIM), velocity, velocity anomaly regions correlate well with stress concentration and rockburst risk areas. The field application verifies that the temporal-spatial early warning method can identify the potential rockburst risk in a temporal sequence and rockburst risk areas during the temporal early warning period.
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Keywords
microseismic precursor information, passive velocity tomography, risk area, rockburst, steeply inclined coal seam, temporal-spatial early warning method
Subject
Suggested Citation
Li Z, He S, Song D, He X, Dou L, Chen J, Liu X, Feng P. Microseismic Temporal-Spatial Precursory Characteristics and Early Warning Method of Rockburst in Steeply Inclined and Extremely Thick Coal Seam. (2023). LAPSE:2023.29854
Author Affiliations
Li Z: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10 [ORCID]
He S: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10
Song D: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10
He X: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10
Dou L: State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
Chen J: Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
Liu X: Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
Feng P: Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
He S: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10
Song D: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10
He X: School of Civil and Resources Engineering, University of Science and Technology Beijing, Beijing 100083, China; Key Laboratory of Ministry of Education for Efficient Mining and Safety of Metal Mine, University of Science and Technology Beijing, Beijing 10
Dou L: State Key Laboratory of Coal Resources and Safe Mining, China University of Mining and Technology, Xuzhou 221116, China
Chen J: Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
Liu X: Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
Feng P: Shenhua Xinjiang Energy Company Limited, Urumqi 830027, China
Journal Name
Energies
Volume
14
Issue
4
First Page
1186
Year
2021
Publication Date
2021-02-23
ISSN
1996-1073
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PII: en14041186, Publication Type: Journal Article
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LAPSE:2023.29854
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https://doi.org/10.3390/en14041186
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