Browsing by Author "Srinivasan, C."

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Comprising one of the deepest mines in the world, the gold mining region of the Kolar Gold Fields (KGF) in southern India is known to be confronted with the acute problem of rockbursts that pose a hazard to workmen and cause disruptions in the production schedule. In combination with mining parameters, seismological data of these rockbursts events systematically monitored over the years using a regional seismic network have been employed to examine and model premonitory characteristics of the events. Linear empirical relations are established relying on correlations seen between the seismic energy released due to a rockburst, total tonnage of ore mined out and total number of rockbursts, as well as seismic events in some shallow and deep workings currently active at KGF. The deterministic model, although not free from certain limitations at present, has been applied to predict rockburst activity with some success. © 1997 Elsevier Science Ltd.
(Elsevier BV, Use of mining and seismological parameters as premonitors of rockbursts) Srinivasan, C.; Arora, S.K.; Yaji, R.K.
1997
Microseismic monitoring of longwall strata to provide real time instability indications to mine management at Rajendra coalmine in India
(2008) Sivakumar, C.; Srinivasan, C.; Murthy, Ch.S.N.; Rao, Y.V.
Rooffalls are the most common problems encountered during various stages of longwall mine operation resulting in loss of production and machinery. A real time microseismic monitoring system was installed at Rajendra underground coal mine and acquired rock fracturing information from different roof layers. These data were analysed and obtained stress concentration zones, which ultimately resulted in rooffalls. Based on the microseismic event release rate advanced strata instability information was provided to mine management through daily reports. This information has helped in carrying out effective and optimized blasting operations to distress the high stress zone. The microseismic data also helped in mapping real time fracture process to get the extent of fractures in roof strata. The significant and reliable precursor found was microseismic event release rate (ERR) for rooffalls. Daily reports were submitted to mine management regarding stress concentration zones and rockfall information, which were confirmed from underground observations. The details of the microseismic technique and its application to longwall mine problems are discussed in this paper. � 2008, ARMA, American Rock Mechanics Association.
Microseismic monitoring of longwall strata to provide real time instability indications to mine management at Rajendra coalmine in India
(2008) Sivakumar, C.; Srinivasan, C.; Murthy, Ch.S.N.; Rao, Y.V.
Rooffalls are the most common problems encountered during various stages of longwall mine operation resulting in loss of production and machinery. A real time microseismic monitoring system was installed at Rajendra underground coal mine and acquired rock fracturing information from different roof layers. These data were analysed and obtained stress concentration zones, which ultimately resulted in rooffalls. Based on the microseismic event release rate advanced strata instability information was provided to mine management through daily reports. This information has helped in carrying out effective and optimized blasting operations to distress the high stress zone. The microseismic data also helped in mapping real time fracture process to get the extent of fractures in roof strata. The significant and reliable precursor found was microseismic event release rate (ERR) for rooffalls. Daily reports were submitted to mine management regarding stress concentration zones and rockfall information, which were confirmed from underground observations. The details of the microseismic technique and its application to longwall mine problems are discussed in this paper. Â© 2008, ARMA, American Rock Mechanics Association.
Real time microseismic monitoring to study geomechanics of underground structures
(2008) Sivakumar, C.; Srinivasan, C.; Willy, Y.A.; Murthy, Ch.S.N.
The study of Geomechanics of underground structures in real time requires capture of fracture information well in advance from structure failure to initiate remedial measures during development and after completion of structure. The advanced high dynamic range microseismic instrumentation with latest Computer methods/algorithms helped to investigate strata behaviour in real time. One such investigation was carried out at the Rajendra longwall underground coal mine, Madya Pradesh state India and addressed major concerns of the mines like roof falls, stability of workings, goaf caving process etc,. The results of this study demonstrated that microseismic monitoring is very useful in understanding the geomechanics of underground structures. Among the several seismic source parameters obtained, the reliable precursor found was the microseismic Event Release Rate (ERR) of micro fractures before failure, which is the most significant instability indicator of underground structure. Results from this work can be useful to other underground structures such as tunnels and LPG storage caverns.
Real time microseismic monitoring to study geomechanics of underground structures
(2008) Sivakumar, C.; Srinivasan, C.; Willy, Y.A.; Murthy, Ch.S.N.
The study of Geomechanics of underground structures in real time requires capture of fracture information well in advance from structure failure to initiate remedial measures during development and after completion of structure. The advanced high dynamic range microseismic instrumentation with latest Computer methods/algorithms helped to investigate strata behaviour in real time. One such investigation was carried out at the Rajendra longwall underground coal mine, Madya Pradesh state India and addressed major concerns of the mines like roof falls, stability of workings, goaf caving process etc,. The results of this study demonstrated that microseismic monitoring is very useful in understanding the geomechanics of underground structures. Among the several seismic source parameters obtained, the reliable precursor found was the microseismic Event Release Rate (ERR) of micro fractures before failure, which is the most significant instability indicator of underground structure. Results from this work can be useful to other underground structures such as tunnels and LPG storage caverns.