Response of seismic activity in mines to the stress changes due to mining induced strong seismic events

Orlecka‐Sikora, Beata; Lasocki, Stanisław; Lizurek, Grzegorz; Rudziński, Łukasz

doi:10.1016/j.ijrmms.2012.05.010

Cited by 60 publications

(20 citation statements)

References 19 publications

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“…The influence of static stress transfer on mining‐induced events was recently analyzed by Orlecka‐Sikora [] and Orlecka‐Sikora et al . [, ]. Similar analyses were performed for seismicity induced by fluid injection [e.g., Dorbath et al ., ; Schoenball et al ., ; Troiano et al ., ; Sumy et al ., ].…”

Section: Introductionmentioning

confidence: 84%

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a M_w 2.2 earthquake in Mponeng gold mine, South Africa

et al. 2015

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Static stress changes following large earthquakes are known to affect the rate and distribution of aftershocks, yet this process has not been thoroughly investigated for nanoseismicity and picoseismicity at centimeter length scales. Here we utilize a unique data set of M ≥ À3.4 earthquakes following a M w 2.2 earthquake in Mponeng gold mine, South Africa, that was recorded during a quiet interval in the mine to investigate if rate-and state-based modeling is valid for shallow, mining-induced seismicity. We use Dieterich's (1994) rate-and state-dependent formulation for earthquake productivity, which requires estimation of four parameters: (1) Coulomb stress changes due to the main shock, (2) the reference seismicity rate, (3) frictional resistance parameter, and (4) the duration of aftershock relaxation time.Comparisons of the modeled spatiotemporal patterns of seismicity based on two different source models with the observed distribution show that while the spatial patterns match well, the rate of modeled aftershocks is lower than the observed rate. To test our model, we used three metrics of the goodness-of-fit evaluation. The null hypothesis, of no significant difference between modeled and observed seismicity rates, was only rejected in the depth interval containing the main shock. Results show that mining-induced earthquakes may be followed by a stress relaxation expressed through aftershocks located on the rupture plane and in regions of positive Coulomb stress change. Furthermore, we demonstrate that the main features of the temporal and spatial distributions of very small, mining-induced earthquakes can be successfully determined using rate-and state-based stress modeling.

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Section: Introductionmentioning

confidence: 84%

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a M_w 2.2 earthquake in Mponeng gold mine, South Africa

et al. 2015

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“…The strongest earthquakes are induced by copper mines near Legnica and Gáogów in southwest Poland and can exceed magnitude M L = 4, which happens almost every year (e.g., Lizurek and Wiejacz 2011, Orlecka-Sikora et al 2012, Idziak and Dubiel 2011. Other regions highly influenced by induced seismicity is Upper Silesia in south Poland, where big coalfields have been intensively exploited for last centuries (Zuberek and Jochymczyk 2010) and Beáchatów brown coal open-cast mine region (Wiejacz and RudziĔski 2010).…”

Section: ) Celebration 2000mentioning

confidence: 99%

Seismic Monitoring of Poland–Description and Results of Temporary Seismic Project with Mobile Seismic Network

2015

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A b s t r a c tThe paper describes a temporary seismic project aimed at developing the national database of natural seismic activity for seismic hazard assessment, officially called "Monitoring of Seismic Hazard of Territory of Poland" (MSHTP). Due to low seismicity of Poland, the project was focused on events of magnitude range 1-3 in selected regions in order to maximize the chance of recording any natural event. The project used mobile seismic stations and was divided into two stages.Five-year measurements brought over one hundred natural seismic events of magnitudes M L range 0.5-3.8. Most of them were located in the Podhale region in the Carpathians. Together with previously recorded events this made it possible to conduct a preliminary study on ground motion prediction equation for this region. Only one natural event, of magnitude M L = 3.8, was recorded outside the Carpathians in a surprising location in central-west Poland.

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“…Seismic hazard is time dependent and can increase with the occurrence of large events and mining activities, such as production blasting (Bottiglieri et al 2009). Mine blasting and large events both cause a rapid change in the stress field, along with dynamic stress waves radiating from the source (Orlecka-Sikora et al 2012). There is an initial swarm of seismic events around the source that gradually decays in frequency towards background levels similar to before the response was triggered.…”

Section: Introductionmentioning

confidence: 99%

The optimisation and comparison of re-entry assessment methodologies for use in seismically active mines

Tierney

2017

Proceedings of the International Conference on Deep and High Stress Mining

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The hazard posed from large seismic events is often high enough to warrant the exclusion or evacuation of personnel from underground workings. A period of exclusion is often determined following blasts or large events due to the increased risk. The period of exclusion until re-entry occurs is a decision for site geotechnical engineers and mine management that must balance the potential risk to personnel with lost production time and associated costs. There is currently no widely accepted method for determining re-entry times and mine sites typically develop their own rules for exclusions after blasts and large events. A systematic and evidence based approach to the development of re-entry protocols could potentially reduce the risk to personnel from an early re-entry or reduce the lost production from an unnecessary exclusion. Four methods of re-entry assessment have been considered in this paper. The seismic responses at three mines have been modelled and used to optimise each assessment method and gauge the relative success through back-analysis. These same techniques are available for other mines to review their own data and potentially improve their current re-entry protocols. The results of this research indicate that a real-time re-entry assessment method can offer improved outcomes compared to blanket re-entry rules by reducing the average exclusion time while still capturing the same number of large events. The incorporation of event size in the assessment can result in better results than the event count. Vallejos and McKinnon (2009) developed a probabilistic framework for re-entry assessment but this method was found to be less efficient than the blanket rule in the majority of cases in this study. The method would also result in more administration and uncertainty for mine planning and scheduling. Several potential improvements to the analysis techniques, and avenues for further research, have been discussed.

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Response of seismic activity in mines to the stress changes due to mining induced strong seismic events

Cited by 60 publications

References 19 publications

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a M_w 2.2 earthquake in Mponeng gold mine, South Africa

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a M_w 2.2 earthquake in Mponeng gold mine, South Africa

Seismic Monitoring of Poland–Description and Results of Temporary Seismic Project with Mobile Seismic Network

The optimisation and comparison of re-entry assessment methodologies for use in seismically active mines

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Response of seismic activity in mines to the stress changes due to mining induced strong seismic events

Cited by 60 publications

References 19 publications

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a Mw 2.2 earthquake in Mponeng gold mine, South Africa

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a Mw 2.2 earthquake in Mponeng gold mine, South Africa

Seismic Monitoring of Poland–Description and Results of Temporary Seismic Project with Mobile Seismic Network

The optimisation and comparison of re-entry assessment methodologies for use in seismically active mines

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Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a M_w 2.2 earthquake in Mponeng gold mine, South Africa

Nanoseismicity and picoseismicity rate changes from static stress triggering caused by a M_w 2.2 earthquake in Mponeng gold mine, South Africa