Chapter 1
Localization and Discrimination
of Microseismic/AE Sources in Mining:
From Data to Information
Longjun Dong
Abstract With the development of the mining industry, the mining depth is
increasing rapidly. Due to the effects of deep high geo-stress, destructive disasters
like rockburst are likely to happen in deep mines, which will cause huge casualties
and economic losses. Microseismic/Acoustic Emission (MS/AE) monitoring is a
widely used and effective method for rock stress monitoring in deep mining. MS/AE
monitoring technology mainly includes source localization, source type discrimination, source mechanism inversion, and disaster early warning and control. In this
paper, a series of source localization methods that can eliminate the negative impact
of premeasured P-wave velocity, straight wave path, and abnormal arrivals on the
locating accuracy were introduced. Four source classification methods are presented
for solving the difficulty that the discrimination of microseismic events and blasts
is heavily dependent on manual classification. On the basis of the above research,
the full waveform inversion methods are used to investigate the different microseismic source mechanisms in a more quantitative way. Based on the Spatio-temporal
characteristics of seismic sequences before large magnitude events in mines, the
precursors of large magnitude seismicities in mines are analyzed. As a result, some
rock support suggestions are put forward considering the source mechanism.
1.1 Introduction
Mining is a global industry with a long development history, which has a close
connection with everyone. It can provide abundant raw materials to different industries. With the development of the economy, resource extraction is occurring at greater
depths. Geotechnical risks are increasing significantly, particularly the rockmass
instability relates to geo-stress. Therefore, the management of geo-stress in deep
mining is very important for geological disaster prevention and control, which will
directly affect productivity, cost, and safety of the mine.
L. Dong (B)
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
e-mail: lj.dong@csu.edu.cn
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_1
3
Localization and Discrimination
of Microseismic/AE Sources in Mining:
From Data to Information
Longjun Dong
Abstract With the development of the mining industry, the mining depth is
increasing rapidly. Due to the effects of deep high geo-stress, destructive disasters
like rockburst are likely to happen in deep mines, which will cause huge casualties
and economic losses. Microseismic/Acoustic Emission (MS/AE) monitoring is a
widely used and effective method for rock stress monitoring in deep mining. MS/AE
monitoring technology mainly includes source localization, source type discrimination, source mechanism inversion, and disaster early warning and control. In this
paper, a series of source localization methods that can eliminate the negative impact
of premeasured P-wave velocity, straight wave path, and abnormal arrivals on the
locating accuracy were introduced. Four source classification methods are presented
for solving the difficulty that the discrimination of microseismic events and blasts
is heavily dependent on manual classification. On the basis of the above research,
the full waveform inversion methods are used to investigate the different microseismic source mechanisms in a more quantitative way. Based on the Spatio-temporal
characteristics of seismic sequences before large magnitude events in mines, the
precursors of large magnitude seismicities in mines are analyzed. As a result, some
rock support suggestions are put forward considering the source mechanism.
1.1 Introduction
Mining is a global industry with a long development history, which has a close
connection with everyone. It can provide abundant raw materials to different industries. With the development of the economy, resource extraction is occurring at greater
depths. Geotechnical risks are increasing significantly, particularly the rockmass
instability relates to geo-stress. Therefore, the management of geo-stress in deep
mining is very important for geological disaster prevention and control, which will
directly affect productivity, cost, and safety of the mine.
L. Dong (B)
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
e-mail: lj.dong@csu.edu.cn
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
G. Shen et al. (eds.), Advances in Acoustic Emission Technology, Springer Proceedings
in Physics 259, https://doi.org/10.1007/978-981-15-9837-1_1
3