2013
DOI: 10.1016/b978-0-444-50662-7.00007-x
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Reservoir Monitoring

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Cited by 4 publications
(2 citation statements)
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“…Seismic sensor networks could be used to image the fracturing process ahead of mining stopes, using extraction-induced noise as an active seismic source. Similar micro-seismic monitoring techniques are already in use in the fracking and sequestration industries, to monitor and image reservoir changes that are induced by the injection process (e.g., Aminzadeh and Dasgupta, 2013;Rodvelt, 2014). We foresee that treatments for noisy seismic data, such as noise cancellation, beam forming or other advanced signal processing techniques, and optimising the speed of the imaging algorithm in dealing with large streams of data (e.g., via decimation, approximation and workload parallelisation) are key to successful deployment of advanced and online seismic monitoring (e.g., Song and Toksöz, 2011;Shi et al, 2019;Li et al, 2019).…”
Section: Pre-concentrationmentioning
confidence: 99%
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“…Seismic sensor networks could be used to image the fracturing process ahead of mining stopes, using extraction-induced noise as an active seismic source. Similar micro-seismic monitoring techniques are already in use in the fracking and sequestration industries, to monitor and image reservoir changes that are induced by the injection process (e.g., Aminzadeh and Dasgupta, 2013;Rodvelt, 2014). We foresee that treatments for noisy seismic data, such as noise cancellation, beam forming or other advanced signal processing techniques, and optimising the speed of the imaging algorithm in dealing with large streams of data (e.g., via decimation, approximation and workload parallelisation) are key to successful deployment of advanced and online seismic monitoring (e.g., Song and Toksöz, 2011;Shi et al, 2019;Li et al, 2019).…”
Section: Pre-concentrationmentioning
confidence: 99%
“…This system can be viewed as a data generation source, which provides valuable seismic data that can be analysed to monitor and guide extraction. A combination of techniques, such as near realtime data analysis, e.g., tomographic imaging (Aminzadeh and Dasgupta, 2013;Rodvelt, 2014) and predictive analytics can be used to predictively achieve mine safety (Nordström et al, 2020;Törnman, 2021). For mitigating stress concentration and reducing rockburst hazards, mining-induced energy variations in the rock mass should be minimised.…”
Section: Full-scale Mineral Processingmentioning
confidence: 99%