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Microseismic Monitoring at a Limestone Mine

Ge, M. / Mrugala, M. / Iannacchione, A. T.

Abstract Improving microseismic monitoring efficiency and accuracy at a mine requires an integrated effort. This article discusses a case study which demonstrates that the monitoring efficiency and accuracy can be drastically improved through optimally using the existing array, efficient techniques for signal processing and noise separation, and the advanced location algorithm which not only offers a robust search scheme, but also features the techniques for efficient data utilization and further error detection and minimization. The study is a collaborated research between Penn State and NIOSH researchers for the better use of microseismic technique for mine safety, ground control and roof fall prediction.

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Microseismic Monitoring at a Limestone Mine

Ge, M. / Mrugala, M. / Iannacchione, A. T.

Abstract Improving microseismic monitoring efficiency and accuracy at a mine requires an integrated effort. This article discusses a case study which demonstrates that the monitoring efficiency and accuracy can be drastically improved through optimally using the existing array, efficient techniques for signal processing and noise separation, and the advanced location algorithm which not only offers a robust search scheme, but also features the techniques for efficient data utilization and further error detection and minimization. The study is a collaborated research between Penn State and NIOSH researchers for the better use of microseismic technique for mine safety, ground control and roof fall prediction.

Microseismic Monitoring at a Limestone Mine

Ge, M. / Mrugala, M. / Iannacchione, A. T.

Abstract Improving microseismic monitoring efficiency and accuracy at a mine requires an integrated effort. This article discusses a case study which demonstrates that the monitoring efficiency and accuracy can be drastically improved through optimally using the existing array, efficient techniques for signal processing and noise separation, and the advanced location algorithm which not only offers a robust search scheme, but also features the techniques for efficient data utilization and further error detection and minimization. The study is a collaborated research between Penn State and NIOSH researchers for the better use of microseismic technique for mine safety, ground control and roof fall prediction.

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Title:

Microseismic Monitoring at a Limestone Mine

Contributors:

Ge, M. (author) / Mrugala, M. (author) / Iannacchione, A. T. (author)

Published in:

Geotechnical and Geological Engineering ; 27

Publication date:

2008

ISSN:

DOI:

https://doi.org/10.1007/s10706-008-9234-z

Type of media:

Article (Journal)

Type of material:

Print

Language:

English

Keywords:

Rock burst , Source location , Mine safety , Microseismic monitoring , Sensor array

Classification:

BKL: 38.58 Geomechanik / 57.00 Bergbau: Allgemeines / 56.20 Ingenieurgeologie, Bodenmechanik
Local classification TIB: 275/3750

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