Indexes of Mine Microseismic and their Application in Safety Assessment by Statistical Evaluation at Luomu Mine

Canadian Institute of Mining, Metallurgy and Petroleum
F Peng F. Lin J. Hu R. Chen S. Yang W. Yu
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
13
File Size:
1827 KB
Publication Date:
Jan 1, 2015

Abstract

"Microseismic monitoring technology has become one of the most effective method of mine ground pressure monitoring after decades of development. But safety assessment of mine ground pressure by using microseismic monitoring is still in the development stage, it needs to be perfected continuously in practice, and choose the optimal assessment indexes and methods. The definitions and physical meanings of wave velocity, b value, and EI-VA value are introduced in this paper. Statistical calculation of the microseismic events in Luomu Mine is finished by using these indexes, then the functions and calculation results of V, b value, and EI-VA value with the variable of time are also given in the paper. The preliminary safety assessment method is established in Luomu Mine, and it has achieved good results in practical application.1.1 Engineering background The Luomu Mine is a super large molybdenum and tungsten production base in China, ore reserves is up to 2 billion tons, first in Asia and third in the world. It begins mining since the 1960. and bases on underground mining until 2002. In order to recover resources more effectively, it began to use opencast mining method and formed a production of 30000t/d in the early 1990. After about 30 years of underground mining, a large mined out spaces was formed under open pit mine, up to area of 1.2 million m2 and volume of 18 million m3, as shown in figure 1. The large number of mined out spaces seriously affects the normal production, mining and handling of mined out spaces are in the high risk. In the past years, several rock mass collapsions happened, and it caused a serious security threat to persons and equipments. According to the distribution characteristics of mined out spaces, Luomu Mine is divided into A, B, C, D and E mining area. The stability of D mining area is studied in this article. D mining area mainly includes 1376,1350,1340,1317 mined out spaces and 1280 deep large mined out area, as shown in figure 2. The mined out spaces of D mining area is extremely complex and high-risk. Therefore, a microseismic monitoring system was built to monitor the stability of D mining area, a large number of valuable datum has been obtained, and it has a striking effect (Cheng & Peng, 2013; Peng et al., 2013)."
Citation

APA: F Peng F. Lin J. Hu R. Chen S. Yang W. Yu  (2015)  Indexes of Mine Microseismic and their Application in Safety Assessment by Statistical Evaluation at Luomu Mine

MLA: F Peng F. Lin J. Hu R. Chen S. Yang W. Yu Indexes of Mine Microseismic and their Application in Safety Assessment by Statistical Evaluation at Luomu Mine. Canadian Institute of Mining, Metallurgy and Petroleum, 2015.

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