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Journal articles on the topic 'Mining-induced seismicity'

Author: Grafiati

Published: 4 June 2021

Last updated: 18 February 2022

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1

Baranov, S. V., S. A. Zhukova, P. A. Korchak, and P. N. Shebalin. "Productivity of Mining-Induced Seismicity." Izvestiya, Physics of the Solid Earth 56, no. 3 (May 2020): 326–36. http://dx.doi.org/10.1134/s1069351320030015.

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2

Hejmanowski, Ryszard, Wojciech T. Witkowski, Artur Guzy, and Agnieszka Malinowska. "Identification of the ground movements caused by mining-induced seismicity with the satellite interferometry." Proceedings of the International Association of Hydrological Sciences 382 (April 22, 2020): 297–301. http://dx.doi.org/10.5194/piahs-382-297-2020.

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Abstract. The assessment of the impact of mining-induced seismicity on the natural environment and infrastructure is often limited to the analysis of terrain surface vibrations. However, similar seismic phenomena, like earthquakes, may also imply dislocations and deformations of the rock mass. Such ground movements may occur in areas which are not directly under the influence of the mining. The study of the displacement field caused by mining-induced seismicity is usually carried out with the use of geodetic methods. Classical geodetic measurements provide discrete information about observed ground movements. As a result, they generally do not provide spatially and temporally relevant estimates of the total range and values of ground movements for specific periods of interest. Moreover, mining-induced seismicity causes a severe threat to buildings. That is why, regarding the complexity of the mechanism of occurrence of mining-induced seismicity and their impact on ground movements, this problem remains a substantial research issue. The presented research aimed to analyse the ground movements caused by mining-induced seismicity. The ground displacements were established based on data from Sentinel-1 satellites applying differential interferometric synthetic aperture radar (DInSAR). The results of the investigation in the copper mining area of the Lower Silesia region of Poland revealed that the observed subsidence caused by mining-induced seismicity usually has a shape of a regular ellipse. The radius of these ground movements does not exceed approximately 2–3 km from the mining-induced tremor's epicenter, and the total subsidence reaches ca. 10–20 cm. More than 50 % of the total subsidence is observed on the surface within a few days after the mining tremor occurrence. Furthermore, the deformations of the surface occur when the energy of mining-induced tremor reaches values of the order of 105 J or higher. The presented research can contribute to better identification and evaluation of the mechanism of the rock mass deformation process caused by mining-induced seismicity. In addition, the use of satellite radar interferometry improves the quality of monitoring of these dynamic phenomena significantly. The data retrieved using this method allow for quasi-continuous monitoring of the local subsidence bowls caused by mining-induced seismicity.

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3

Bishop, I., P. Styles, and M. Allen. "Mining-induced seismicity in the Nottinghamshire Coalfield." Quarterly Journal of Engineering Geology and Hydrogeology 26, no. 4 (November 1993): 253–79. http://dx.doi.org/10.1144/gsl.qjegh.1993.026.004.03.

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4

Sato, K., and Y. Fujii. "Induced seismicity associated with longwall coal mining." International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 25, no. 5 (October 1988): 253–62. http://dx.doi.org/10.1016/0148-9062(88)90002-2.

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5

Fritschen, Ralf. "Mining-Induced Seismicity in the Saarland, Germany." Pure and Applied Geophysics 167, no. 1-2 (December 8, 2009): 77–89. http://dx.doi.org/10.1007/s00024-009-0002-7.

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6

Swanson, P. L. "Mining-induced seismicity in faulted geologic structures: An analysis of seismicity-induced slip potential." Pure and Applied Geophysics PAGEOPH 139, no. 3-4 (1992): 657–76. http://dx.doi.org/10.1007/bf00879957.

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7

Das Jennifer, Praveena, and P. Porchelvan. "An approach to assessment of post mining-induced seismic hazard in Kolar Gold Fields mines – a review." Journal of Mines, Metals and Fuels 69, no. 3 (May 12, 2021): 88. http://dx.doi.org/10.18311/jmmf/2021/27784.

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A common challenge faced in underground hardrock mines worldwide is post mining-induced seismicity, as the events have been quite disastrous, causing risk to the structures and lives. In the recent years, many of the worked out mining areas are slowly getting populated and in due course of time shall be posing environmental threat to the people residing above and to the surface structures like sudden void formations or sudden ground collapse becoming visible on the surface. Worked out or closed mines have most of the time shown existence of post mining-induced seismicity signatures. Some of the closed mines showing post mining induced seismicity in Korea, South Africa, Sweden and India are being discussed. Post mining induced seismicity observed in Kolar Gold Fields worked out mine still being felt since closure of deeper levels is discussed. As mining depth increases especially in hard rock mines, magnitude of stress increases, hence, the occurrence and severity of postmining induced seismicity also increases. The problem becomes more serious if proper fund allocation is not done to investigate these areas, may be due to the absence of economic interest once the mine site has been abandoned and in many cases, direct investigations inside the mines may not be possible due to stability problems or due to the ingress of water into the void spaces of the mining area. Several approaches and techniques adopted by researcher’s world over are being discussed in this paper, with a view to gaining insight into the techniques of evaluation of seismic hazard. Seismic vulnerability assessment should integrate the effects of all the seismic events occurring at different locations of mining area during mining and post mining, along with their uncertainties also being considered. Based on the recorded data and some of the derived parameters from previous years, an attempt should be made to evaluate the existing risk prone areas. The past records of induced seismicity due to mining should be used as a precursor for identification of impending future events and their expected probable locations of occurrence. The methods discussed here for assessment of seismic hazard are based on direct waveform and seismic source parameters, parameters from indirect waveform methods, frequency-magnitude relationship based, and frequency content analysis based. From the assessment it is found that the choice of method that can be used depends on the period of monitoring (short-term monitoring, intermediate-term or long-term monitoring) and the objective of the study required to be achieved, this varies on site-to-site basis. The main focus is to show the importance and need to install a micro seismic monitoring system for long term assessment of seismic risk especially in abandoned/worked out mines showing post mining-induced seismicity.

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8

Li, T., M. F. Cai, and M. Cai. "A review of mining-induced seismicity in China." International Journal of Rock Mechanics and Mining Sciences 44, no. 8 (December 2007): 1149–71. http://dx.doi.org/10.1016/j.ijrmms.2007.06.002.

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9

Ma, Xu, Erik Westman, Dave Counter, Farid Malek, and Brent Slaker. "Passive Seismic Imaging of Stress Evolution with Mining-Induced Seismicity at Hard-Rock Deep Mines." Rock Mechanics and Rock Engineering 53, no. 6 (March 16, 2020): 2789–804. http://dx.doi.org/10.1007/s00603-020-02076-5.

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AbstractThis work aims to examine the stress redistribution with evolving seismicity rates using a passive seismic tomographic tool. We compiled a total of 26,000 events from two underground mines and partitioned them into multiple clusters in a temporal sequence, each of which contains 1000 events. To image stress redistribution associated with seismicity rates, we then run the tomographic studies using each cluster to yield seismic tomograms and computed the corresponding seismicity rate. We found that high velocity anomalies grew with the increase of seismicity rates, and they switched to a shrinking tendency under low seismicity rates. Results of this study imply that seismicity rates increase with increasing stress concentration and decrease with decreasing stress concentration. This study highlights the value of utilizing passive seismic tomography for estimating stress evolution associated with the change of seismicity rates at underground mines. Our findings illuminate the applications of using mining-induced seismicity to assess stress redistribution associated with seismicity rates at hard-rock mines, providing insights into seismic hazards for deep mining.

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10

Emanov, Aleksandr, Aleksey Emanov, Aleksandr Fateev, Elena Shevkunova, Valentina Podkorytova, and Oksana Kuprish. "Induced seismicity in coal and iron ore regions of Kuzbass." Russian Journal of Seismology 2, no. 3 (September 30, 2020): 88–96. http://dx.doi.org/10.35540/2686-7907.2020.3.08.

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According to the results of seismicity monitoring in the Kemerovo region, seismic activations are studied near coal enterprises and iron ore mines. The spatial-temporal variability of induced seismicity in Kuzbass is shown. It has been established that the strongest subsoil activations in the area of mining occur as short-term activations lasting 1-2 months and repeated several times in one to two years. The following similar activations are already taking place at other objects. Induced seismicity in Mountains Shoria is considered. The effect of partial synchronization of the development of seismicity was discovered at the mines of Kazsky, Sheregeshsky, Tashtagolsky, located one hundred kilometers apart.

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11

Styles, P., I. Bishop, and S. Toon. "Surface and borehole microseismic monitoring of mining-induced seismicity." Geological Society, London, Engineering Geology Special Publications 12, no. 1 (1997): 315–26. http://dx.doi.org/10.1144/gsl.eng.1997.012.01.29.

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12

Young, R. P., D. A. Hutchins, J. McGaughey, J. Towers, D. Jansen, and M. Bostock. "Geotomographic imaging in the study of mining induced seismicity." Pure and Applied Geophysics PAGEOPH 129, no. 3-4 (1989): 571–96. http://dx.doi.org/10.1007/bf00874526.

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13

Bischoff, Monika, Alpan Cete, Ralf Fritschen, and Thomas Meier. "Coal Mining Induced Seismicity in the Ruhr Area, Germany." Pure and Applied Geophysics 167, no. 1-2 (December 4, 2009): 63–75. http://dx.doi.org/10.1007/s00024-009-0001-8.

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14

Kijko, A., and C. W. Funk. "Space-time interaction amongst clusters of mining induced seismicity." Pure and Applied Geophysics PAGEOPH 147, no. 2 (July 1996): 277–88. http://dx.doi.org/10.1007/bf00877483.

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15

Wong, I. G., and A. McGarr. "Implosional failure in mining-induced seismicity: a critical review." International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts 28, no. 6 (November 1991): A397. http://dx.doi.org/10.1016/0148-9062(91)91654-a.

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16

Sepher, K., and B. Stimpson. "Induced seismicity in potash mining ? a finite element study." International Journal of Mining and Geological Engineering 6, no. 1 (March 1988): 27–40. http://dx.doi.org/10.1007/bf00881025.

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17

Basson, Gys, Andrew P. Bassom, and Brian Salmon. "Simulating Mining-Induced Seismicity Using the Material Point Method." Rock Mechanics and Rock Engineering 54, no. 9 (June 11, 2021): 4483–503. http://dx.doi.org/10.1007/s00603-021-02522-y.

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18

I. Brevis, Rodrigo, Jaime H. Ortega, and David Pardo. "A source time reversal method for seismicity induced by mining." Inverse Problems & Imaging 11, no. 1 (2017): 25–45. http://dx.doi.org/10.3934/ipi.2017002.

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19

Sen, Ali Tolga, Simone Cesca, Monika Bischoff, Thomas Meier, and Torsten Dahm. "Automated full moment tensor inversion of coal mining-induced seismicity." Geophysical Journal International 195, no. 2 (August 30, 2013): 1267–81. http://dx.doi.org/10.1093/gji/ggt300.

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20

Kozłowska, Maria, and Beata Orlecka-Sikora. "Assessment of Quantitative Aftershock Productivity Potential in Mining-Induced Seismicity." Pure and Applied Geophysics 174, no. 3 (December 5, 2016): 925–36. http://dx.doi.org/10.1007/s00024-016-1432-7.

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21

Burtan, Zbigniew, Jerzy Cieślik, and Dariusz Chlebowski. "Seismicity induced by hard coal mining in the vicinity of faults." E3S Web of Conferences 66 (2018): 01008. http://dx.doi.org/10.1051/e3sconf/20186601008.

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An inherent feature of Polish collieries within the Upper Silesia Coal Basin is the high level of mining induced seismicity, resulting in elevated rockburst hazard levels. One of the major causes of high-energy seismic events is that mining operations are continued in the vicinity of major faulting zones. The study summarises the results of geo-mechanical and statistical analysis of mining-induced seismic activity in the region of major faults, in a selected section within a colliery. Seismic activity assessment involves the categorisation of seismic events due to tectonic movements in the context of various face development systems with respect to the faulting zone: perpendicular (advancing towards the faulting zone or retreating) or parallel (along the faulting zone). Registered seismic activity was analysed in the context of epicenter locations and variations of seismic activity in relation to the developing face operations in the function of time and energy ratings (Gutenberg-Richter formulas). Results have demonstrated that increased levels of seismic activity in the strata can be attributable to mining operations in the vicinity of major faulting zones.

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22

Rybarska-Rusinek, Liliana, Ewa Rejwer, and Alexander Linkov. "Speeded simulation of seismicity accompanying mining and hydrofracture." Engineering Computations 35, no. 5 (July 2, 2018): 1932–49. http://dx.doi.org/10.1108/ec-07-2017-0256.

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Purpose At present numerical simulation of seismicity, used in mining and hydraulic fracturing practice, is quite time expensive what hampers its combined employing with observed seismicity in real time. The purpose of this paper is to suggest a mean for drastic speeding up numerical modeling seismic and aseismic events. Design/methodology/approach The authors propose the means to radically decrease the time expense for the bottleneck stage of simulation: calculations of stresses, induced by a large group of already activated flaws (sources of events), at locations of flaws of another large group, which may be activated by the stresses. This is achieved by building a hierarchical tree and properly accounting for the sizes of activated flaws, excluding check of their influence on flaws, which are beyond strictly defined near-regions of strong interaction. Findings Comparative simulations of seismicity by conventional and improved methods demonstrate high efficiency of the means developed. When applied to practical mining and hydrofracturing problems, it requires some two orders less time to obtain practically the same output results as those of conventional methods. Originality/value The proposed improvement provides a means for simulation of seismicity in real time of mining steps and hydrofracture propagation. It can be also used in other applications involving seismic and aseismic events and acoustic emission.

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23

Baranov, Sergey, Alexander Motorin, and Peter Shebalin. "On the spatial distribution of postseismic activity in the Khibiny Mountains." Russian Journal of Seismology 2, no. 3 (September 30, 2020): 34–42. http://dx.doi.org/10.35540/2686-7907.2020.3.03.

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Using data on the seismicity of the Khibiny Mountains, it was shown that the distances from seismic events triggered by an earlier seismic event to their triggers obey a power-law distribution with a parameter independent of the magnitude of the trigger event. It was previously shown by Felzer & Brodsky [2006], Richards-Dinger et al. [2010] that the same distribution is appropriate for tectonic seismicity. Additionally, in the present paper, it was shown that in the Khibiny Mountains, the distribution of distances from seismic events to triggering explosions is also power-law. Thus, the power-law character of the spatial distribution of post-seismic activity takes place both for tectonic and mining-induced seismicity. The same type of distribution for postseismic and post blasting activities in the Khibiny Mountains gives a reason to suppose that the spatial distribution is determined by the features of the rock and does not depend on the mechanism of its perturbation (seismic event or explosion). The use of these features and the previously established laws of earthquake productivity verified for mining-induced seismicity, and seismic productivity of explosions, allows evaluating the zone where repeated events are expected with a given probability.

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24

Barthwal, Himanshu, and Mirko van der Baan. "Passive seismic tomography using recorded microseismicity: Application to mining-induced seismicity." GEOPHYSICS 84, no. 1 (January 1, 2019): B41—B57. http://dx.doi.org/10.1190/geo2018-0076.1.

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Microseismicity is recorded during an underground mine development by a network of seven boreholes. After an initial preprocessing, 488 events are identified with a minimum of 12 P-wave arrival-time picks per event. We have developed a three-step approach for P-wave passive seismic tomography: (1) a probabilistic grid search algorithm for locating the events, (2) joint inversion for a 1D velocity model and event locations using absolute arrival times, and (3) double-difference tomography using reliable differential arrival times obtained from waveform crosscorrelation. The originally diffusive microseismic-event cloud tightens after tomography between depths of 0.45 and 0.5 km toward the center of the tunnel network. The geometry of the event clusters suggests occurrence on a planar geologic fault. The best-fitting plane has a strike of 164.7° north and dip angle of 55.0° toward the west. The study region has known faults striking in the north-northwest–south-southeast direction with a dip angle of 60°, but the relocated event clusters do not fall along any mapped fault. Based on the cluster geometry and the waveform similarity, we hypothesize that the microseismic events occur due to slips along an unmapped fault facilitated by the mining activity. The 3D velocity model we obtained from double-difference tomography indicates lateral velocity contrasts between depths of 0.4 and 0.5 km. We interpret the lateral velocity contrasts in terms of the altered rock types due to ore deposition. The known geotechnical zones in the mine indicate a good correlation with the inverted velocities. Thus, we conclude that passive seismic tomography using microseismic data could provide information beyond the excavation damaged zones and can act as an effective tool to complement geotechnical evaluations.

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25

Shen, B., A. King, and H. Guo. "Displacement, stress and seismicity in roadway roofs during mining-induced failure." International Journal of Rock Mechanics and Mining Sciences 45, no. 5 (July 2008): 672–88. http://dx.doi.org/10.1016/j.ijrmms.2007.08.011.

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26

Young, R. Paul. "Fred Leighton Memorial Workshop on mining induced seismicity August 30, 1987." Pure and Applied Geophysics PAGEOPH 129, no. 3-4 (1989): 285–93. http://dx.doi.org/10.1007/bf00874510.

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27

Abdul-Wahed, M. K., M. Al Heib, and G. Senfaute. "Mining-induced seismicity: Seismic measurement using multiplet approach and numerical modeling." International Journal of Coal Geology 66, no. 1-2 (February 2006): 137–47. http://dx.doi.org/10.1016/j.coal.2005.07.004.

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28

Krawczyk, Artur, and Radosław Grzybek. "An evaluation of processing InSAR Sentinel-1A/B data for correlation of mining subsidence with mining induced tremors in the Upper Silesian Coal Basin (Poland)." E3S Web of Conferences 26 (2018): 00003. http://dx.doi.org/10.1051/e3sconf/20182600003.

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The Satellite Radar Interferometry is one of the common methods that allow to measure the land subsidence caused by the underground black coal excavation. The interferometry images processed from the repeat-pass Synthetic Aperture Radar (SAR) systems give the spatial image of the terrain subjected to the surface subsidence over mining areas. Until now, the InSAR methods using data from the SAR Systems like ERS-1/ERS-2 and Envisat-1 were limited to a repeat-pass cycle of 35-day only. Recently, the ESA launched Sentinel-1A and 1B, and together they can provide the InSAR coverage in a 6-day repeat cycle. The studied area was the Upper Silesian Coal Basin in Poland, where the underground coal mining causes continuous subsidence of terrain surface and mining tremors (mine-induced seismicity). The main problem was with overlapping the subsidence caused by the mining exploitation with the epicentre tremors. Based on the Sentinel SAR images, research was done in regard to the correlation between the short term ground subsidence range border and the mine-induced seismicity epicentres localisation.

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29

Jia, Ke, Shiyong Zhou, Jiancang Zhuang, Changsheng Jiang, Yicun Guo, Zhaohui Gao, Shesheng Gao, Yosihiko Ogata, and Xiaodong Song. "Nonstationary Background Seismicity Rate and Evolution of Stress Changes in the Changning Salt Mining and Shale-Gas Hydraulic Fracturing Region, Sichuan Basin, China." Seismological Research Letters 91, no. 4 (May 20, 2020): 2170–81. http://dx.doi.org/10.1785/0220200092.

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Abstract The Ms 6.0 earthquake in Changning, Sichuan, China, on 17 June 2019 was the largest recorded earthquake in the stable Sichuan basin. It occurred in a complicated region with salt mining and shale gas production. Whether this earthquake is induced raises concerns among the public and the scientific community. Furthermore, the relation between this earthquake and nearby industrial activities has also been of great interest. To address these questions, we estimated the nonstationary background seismicity rate and inverted for spatiotemporal stress changes. The results show that the background rate dramatically increased after hydraulic fracturing (HF) and remained at a high level until the present. Starting in 2005, the study region experienced an accelerating stress increase, and the rates of cumulative modified Coulomb stress changes were approximately 0.11 MPa/yr from January 2005 to January 2015 and 0.24 MPa/yr from January 2015 to December 2018. The 2019 Changning earthquake produced a stress step of 0.32 MPa. A clear difference between seismicity induced by salt mine injection and by HF is documented. Our results suggest that the Changning sequence might have been induced by long-term injection for salt production. Furthermore, the seismicity-stress inversion method provides a tool for using seismicity rate changes as a stress meter to monitor human-induced seismicity.

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30

Hejmanowski, Ryszard, Agnieszka A. Malinowska, Wojciech T. Witkowski, and Artur Guzy. "An Analysis Applying InSAR of Subsidence Caused by Nearby Mining-Induced Earthquakes." Geosciences 9, no. 12 (November 21, 2019): 490. http://dx.doi.org/10.3390/geosciences9120490.

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Earthquake occurrence is usually unpredictable apart from sites in the vicinity of volcanoes. It is not easy to measure displacements caused by seismic phenomena using classical geodetic methods, which are based on point survey. Therefore, the surveying of ground movements caused by seismic events should be carried out continuously. Nowadays, remote sensing data and InSAR are often applied to monitor ground displacements in areas affected by seismicity. The effects of severe nearby mining-induced earthquakes have been discussed in the paper. The earthquakes occurred in 2017 and had a magnitude of 4.7 and 4.8. The distance between the epicenters of the mining-induced earthquakes was around 1.6 km. The aim of the investigation has been to analyze the spatio-temporal distribution of ground movements caused by the two tremors using the InSAR technique. Superposition of surface displacement has been studied in time and space. The main scientific aim has been to prove that in the areas where high-energy tremors occur, ground movements overlap. Due to proximity between the epicenters, the mining-induced earthquakes caused the formation of a large subsidence trough with the dimension of approximately 1.2 km × 4.2 km and total subsidence of ca. 116 mm. Two-time phases of subsidence were determined with temporal overlapping. The subsidence analysis has enhanced the cognition of the impact of mining-induced seismicity on the kinematics of surface changes. Moreover, the present work supports the thesis that InSAR is a valuable and adequately accurate technique to monitor ground displacements caused by mining induced earthquakes.

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31

Jakubowski, Jacek, and Antoni Tajduś. "Predictive Regression Models of Monthly Seismic Energy Emissions Induced by Longwall Mining." Archives of Mining Sciences 59, no. 3 (October 20, 2014): 705–20. http://dx.doi.org/10.2478/amsc-2014-0049.

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Abstract This article presents the development and validation of predictive regression models of longwall mining-induced seismicity, based on observations in 63 longwalls, in 12 seams, in the Bielszowice colliery in the Upper Silesian Coal Basin, which took place between 1992 and 2012. A predicted variable is the logarithm of the monthly sum of seismic energy induced in a longwall area. The set of predictors include seven quantitative and qualitative variables describing some mining and geological conditions and earlier seismicity in longwalls. Two machine learning methods have been used to develop the models: boosted regression trees and neural networks. Two types of model validation have been applied: on a random validation sample and on a time-based validation sample. The set of a few selected variables enabled nonlinear regression models to be built which gave relatively small prediction errors, taking the complex and strongly stochastic nature of the phenomenon into account. The article presents both the models of periodic forecasting for the following month as well as long-term forecasting.

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32

Alber, M., R. Fritschen, and M. Bischoff. "Strength constraints of shallow crustal strata from analyses of mining induced seismicity." Solid Earth Discussions 5, no. 1 (June 3, 2013): 737–65. http://dx.doi.org/10.5194/sed-5-737-2013.

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Abstract. Stress redistributions around large underground excavations such as coal mines may lead to failure of the surrounding rock mass. Some of these failure processes were recorded as seismic events. In this paper the different failure processes such as rock mass failure or the reactivation of faults are delineated from the seismic records. These are substantiated by rock mechanical analyses including laboratory strength tests on coal measure rocks obtained from underground drilling. Additionally, shear tests on discontinuities in coal measure rocks (slickensides in shale and rough sandstone joints) were conducted to grasp the possible variation of strength properties of faults. Numerical modeling was employed to evaluate the state of stress at the locations where seismic events did occur.

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33

Lasocki, Stanislaw, and Beata Orlecka-Sikora. "Seismic hazard assessment under complex source size distribution of mining-induced seismicity." Tectonophysics 456, no. 1-2 (August 2008): 28–37. http://dx.doi.org/10.1016/j.tecto.2006.08.013.

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34

Marsan, David, Christopher J. Bean, Sandy Steacy, and John McCloskey. "Spatio-temporal analysis of stress diffusion in a mining-induced seismicity system." Geophysical Research Letters 26, no. 24 (December 15, 1999): 3697–700. http://dx.doi.org/10.1029/1999gl010829.

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35

Verdon, James P., J.-Michael Kendall, Antony Butcher, Richard Luckett, and Brian J. Baptie. "Seismicity induced by longwall coal mining at the Thoresby Colliery, Nottinghamshire, U.K." Geophysical Journal International 212, no. 2 (October 25, 2017): 942–54. http://dx.doi.org/10.1093/gji/ggx465.

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36

Kaláb, Zdeněk. "An analysis of mining induced seismicity and its relationship to fault zones." Geological Society, London, Special Publications 125, no. 1 (1997): 329–35. http://dx.doi.org/10.1144/gsl.sp.1997.125.01.29.

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37

Vallejos, J. A., and S. D. McKinnon. "Omori’s Law Applied to Mining-Induced Seismicity and Re-entry Protocol Development." Pure and Applied Geophysics 167, no. 1-2 (December 22, 2009): 91–106. http://dx.doi.org/10.1007/s00024-009-0010-7.

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38

Linzer, L. M. "A Relative Moment Tensor Inversion Technique Applied to Seismicity Induced by Mining." Rock Mechanics and Rock Engineering 38, no. 2 (February 9, 2005): 81–104. http://dx.doi.org/10.1007/s00603-004-0041-4.

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39

Schütz, Holger, and Heinz Konietzky. "Evaluation of Flooding Induced Seismicity from the Mining Area Schlema/Alberoda (Germany)." Rock Mechanics and Rock Engineering 49, no. 10 (July 4, 2016): 4125–35. http://dx.doi.org/10.1007/s00603-016-1032-y.

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40

Baranov, S. V., A. Yu Motorin, and P. N. Shebalin. "Spatial Distribution of Triggered Earthquakes in the Conditions of Mining-Induced Seismicity." Izvestiya, Physics of the Solid Earth 57, no. 4 (July 2021): 520–28. http://dx.doi.org/10.1134/s1069351321040029.

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Abstract—The spatial distribution of the triggered seismic events in mining conditions in the tectonically loaded rock masses is studied using the example of seismicity in the Khibiny Mountains. It is shown that the distribution of distances from the triggering to triggered events, on average, obeys the power-law with a parameter independent of the magnitude of the triggering event. The model of the maximum distances from a triggering event’s hypocenter to the triggered shocks expected with a given probability is derived. It is shown that the model is consistent with the real data. Based on the error diagram analysis, the guidelines are proposed for the practical use of the model.

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Wood, Clinton M., and Brady R. Cox. "Experimental Data Set of Mining-Induced Seismicity for Studies of Full-Scale Topographic Effects." Earthquake Spectra 31, no. 1 (February 2015): 541–64. http://dx.doi.org/10.1193/020314eqs026.

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This paper describes two large, high-quality experimental data sets of ground motions collected with locally dense arrays of seismometers deployed on steep mountainous terrain with varying slope angles and topographic features. These data sets were collected in an area of central-eastern Utah that experiences frequent and predictable mining-induced seismicity as a means to study the effects of topography on small-strain seismic ground motions. The data sets are freely available through the George E. Brown, Jr. Network for Earthquake Engineering Simulation data repository ( NEEShub.org ) under the DOI numbers 10.4231/D34M9199S and 10.4231/D3Z31NN4J. This paper documents the data collection efforts and metadata necessary for utilizing the data sets, as well as the availability of supporting data (e.g., high-resolution digital elevation models). The paper offers a brief summary of analyses conducted on the data sets thus far, in addition to ideas about how these data sets may be used in future studies related to topographic effects and mining seismicity.

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Feng, Yuan, and Chao Yin Feng. "Risk Management of Induced Micro-Seismicity Caused by Hydraulic Fracturing through Acoustic Emission." Advanced Materials Research 734-737 (August 2013): 628–33. http://dx.doi.org/10.4028/www.scientific.net/amr.734-737.628.

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To release the shale gas potential in China, hydraulic fracturing technologies play an important role. However, the latent technique risk deserves special attention. For example, the site-nearby micro-seismicity may have some relationship with the hydraulic fracturing. Nonetheless, the good news is that carbon dioxide stimulation can be used to displace hydraulic fracturing and obviate the potential earthquake risk. But the carbon dioxide methods are not economical nowadays, and hydraulic fracturing will continue to dominate. Through acoustic emission monitor, the reservoir characteristics and induced micro-seismicity magnitude and frequency will be collected and evaluated. Based on pre-existing project experience and numerical simulation, difference assessment standards about the hydraulic fracturing parameters are proposed to evaluate the micro-seismicity risk. Combined with other characteristics of rock property and fault location, this risk management can be used to guide the subsequent drilling and mining in practice.

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Malovichko, Dmitriy. "Assessment of seismic hazard in mines." Russian Journal of Seismology 2, no. 2 (June 23, 2020): 21–38. http://dx.doi.org/10.35540/2686-7907.2020.2.02.

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The assessment of seismic hazard in mines has several peculiarities compared to the similar assessment for tectonic earthquakes: (a) in mines seismicity is typically induced by the extraction of rocks, what makes the assessment of hazard depends on the planned mining sequence, (b) many seismic events in mines have source mechanisms different from the mechanisms of tectonic earthquakes, (c) the likelihoods of both strong ground motion from distant seismic events and localized sudden inelastic deformation on the contour of excavations are of interest, (d) the spatial distribution of seismic hazard may experience significant change over relatively short periods of time (several years), which makes it possible to implement rigorous testing of the hazard forecasts, selection of optimal forecast method and its calibration. This paper provides a brief review of recent publications on the assessment of seismic hazard in mines. The method of intermediate- and long-term hazard forecast based on the combination of observed seismicity and seismicity modeled for the planned mining sequence is discussed in detail. The application of this method at the acting underground mine in Australia is presented.

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Holub, K. "A study of mining-induced seismicity in Czech mines with longwall coal exploitation." Journal of Mining Science 43, no. 1 (January 2007): 32–39. http://dx.doi.org/10.1007/s10913-007-0005-7.

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Malovichko, A. A., A. G. Gamburtsev, A. K. Voinov, and L. V. Nekrasova. "Specific features of dynamics of induced seismicity in mining regions of the Urals." Doklady Earth Sciences 417, no. 2 (December 2007): 1402–6. http://dx.doi.org/10.1134/s1028334x07090231.

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Redmayne, D. W. "Mining induced seismicity in UK coalfields identified on the BGS National Seismograph Network." Geological Society, London, Engineering Geology Special Publications 5, no. 1 (1988): 405–13. http://dx.doi.org/10.1144/gsl.eng.1988.005.01.45.

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He, Hu, Linming Dou, Anye Cao, and Jun Fan. "Mechanisms of Mining Seismicity under Large Scale Exploitation with Multikey Strata." Shock and Vibration 2015 (2015): 1–9. http://dx.doi.org/10.1155/2015/313069.

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The dynamic disasters are aggravating with the increase of exploitation scale and intensity in Chinese coal mines, to further understand this problem, we studied the mechanisms of mining tremors induced by key strata movement and instability under large scale exploitation. First the mechanisms were categorized into two groups that is main key strata fracture and movement as well as subkey strata instability again under adjacent mining activities. Based on the key strata theory in ground control we revealed three basic mechanisms of key strata destabilization that are rotary and sliding of low subkey strata, shear sliding of the high subkey strata, and the main key strata rupture and cave at limit span, respectively. The microseismic observing systems were applied to monitor the mining tremor events and verify the theoretical analysis in different coal mines. The characteristics of time-space evolution of tremors show that low inferior key strata causing the most, followed by the high inferior key strata and the main key strata least, however the released energy was just opposite.

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Holub, Karel. "Space-time variations of the frequency-energy relation for mining-induced seismicity in the Ostrava-Karvin� mining district." Pure and Applied Geophysics PAGEOPH 146, no. 2 (March 1996): 265–80. http://dx.doi.org/10.1007/bf00876493.

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Fuławka, Krzysztof, Witold Pytel, and Bogumiła Pałac-Walko. "Near-Field Measurement of Six Degrees of Freedom Mining-Induced Tremors in Lower Silesian Copper Basin." Sensors 20, no. 23 (November 28, 2020): 6801. http://dx.doi.org/10.3390/s20236801.

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The impact of seismicity on structures is one of the key problems of civil engineering. According to recent knowledge, the reliable analysis should be based on both rotational and translational components of the seismic wave. To determine the six degrees of freedom (6-DoF) characteristic of mining-induced seismicity, two sets of seismic posts were installed in the Lower Silesian Copper Basin, Poland. Long-term continuous 6-DoF measurements were conducted with the use of the R-1 rotational seismometer and EP-300 translational seismometer. In result data collection, the waveforms generated by 39 high-energy seismic events were recorded. The characteristic of the rotational component of the seismic waves were described in terms of their amplitude and frequency characteristics and were compared with translational measurements. The analysis indicated that the characteristic of the rotational component of the seismic wave differs significantly in comparison to translational ones, both in terms of their amplitude and frequency distribution. Also, attenuation of rotational and translational components was qualitatively compared. Finally, the empirical formulas for seismic rotation prediction in the Lower Silesian Copper Basin were developed and validated.

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Emanov, A. A., A. F. Emanov, A. V. Fateev, and E. V. Leskova. "Simultaneous Impact of Open-Pit and Underground Mining on the Subsurface and Induced Seismicity." Seismic Instruments 54, no. 4 (July 2018): 479–87. http://dx.doi.org/10.3103/s0747923918040035.

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