scholarly journals Mining-induced seismicity at the Lucky Friday Mine: Seismic events of magnitude >2.5, 1989--1994

1996 ◽  
Author(s):  
J.K. Whyatt ◽  
T.J. Williams ◽  
W. Blake ◽  
K. Sprenke ◽  
C. Wideman
Keyword(s):  
Induced Seismicity ◽  
Seismic Events ◽  
Mining Induced Seismicity ◽  
Mine Seismic Events

scholarly journals On the spatial distribution of postseismic activity in the Khibiny Mountains

2020 ◽  
Vol 2 (3) ◽  
pp. 34-42
Author(s):  
Sergey Baranov ◽  
Alexander Motorin ◽  
Peter Shebalin
Keyword(s):  
Spatial Distribution ◽  
Power Law ◽  
Induced Seismicity ◽  
Seismic Event ◽  
Seismic Events ◽  
Power Law Distribution ◽  
Mining Induced Seismicity ◽  
Trigger Event ◽  
Repeated Events ◽  
Using Data

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.

scholarly journals Spatial Distribution of Triggered Earthquakes in the Conditions of Mining-Induced Seismicity

2021 ◽  
Vol 57 (4) ◽  
pp. 520-528
Author(s):  
S. V. Baranov ◽  
A. Yu. Motorin ◽  
P. N. Shebalin
Keyword(s):  
Spatial Distribution ◽  
Power Law ◽  
Induced Seismicity ◽  
Real Data ◽  
Seismic Events ◽  
Triggered Earthquakes ◽  
Mining Induced Seismicity ◽  
Mining Conditions ◽  
Loaded Rock ◽  
Diagram Analysis

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.

scholarly journals Mining-Induced Seismicity during Development Works in Coalbeds in the Context of Forecasts of Geomechanical Conditions

Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6675
Author(s):  
Dariusz Chlebowski ◽  
Zbigniew Burtan
Keyword(s):  
Induced Seismicity ◽  
Geophysical Methods ◽  
Small Diameter ◽  
The State ◽  
Engineering Practice ◽  
Mining Operations ◽  
Rockburst Hazard ◽  
State Of Stress ◽  
Mining Induced Seismicity ◽  
Hazard Level

Mining-induced seismicity in the area of development works and proper mining operations is one of the major determinants of the rockburst hazard level in underground mines. Rockburst hazard assessment in Polish collieries is performed by a variety of mining and geophysical methods, including seismic and seismoacoustic techniques, borehole surveys, small diameter drilling, rock strata profiling and analyses of geomechanical properties of rocks, geological structure and geological mining conditions. In the case of zones particularly exposed to potential hazards, it is recommended that analytical or numerical forecasts of the state of stress in the vicinity of workings should be used already at the stage of planning of mining operations. This study summarises the comparative analysis of seismic test data and analytical forecasts of the state of stress in five selected headings in one of the burst-prone collieries within the Upper Silesia Coal Basin in Poland (USCB). As regards the seismic data, duly defined quantitative indicators and energy criteria of the registered seismic activity are recalled in the assessment of rockburst hazard level during the roadheading operations. Analytical simulations utilise a developed geomechanical model and stress–strain relationships stemming from the principles of elastic media mechanics. From the standpoint of mining engineering practice, interpretation of results obtained by the two methods reveals how effective analytical models will be in prognosticating or verification of rockburst hazard conditions.

scholarly journals A Fast Ray-tracing Method for Locating Mining-Induced Seismicity by Considering Underground Voids

2020 ◽  
Vol 10 (19) ◽  
pp. 6763
Author(s):  
Pingan Peng ◽  
Yuanjian Jiang ◽  
Liguan Wang ◽  
Zhengxiang He ◽  
Siyu Tu
Keyword(s):  
Travel Time ◽  
Ray Tracing ◽  
Induced Seismicity ◽  
Constant Velocity ◽  
Velocity Model ◽  
Surface Model ◽  
Location Accuracy ◽  
Ray Tracing Method ◽  
Mining Induced Seismicity ◽  
Tracing Method

The accurate localization of mining-induced seismicity is crucial to underground mines. However, the constant velocity model is used by traditional location methods without considering the great difference in wave velocity between rock mass and underground voids. In this paper, to improve the microseismicity location accuracy in mines, we present a fast ray-tracing method to calculate the ray path and travel time from source to receiver considering underground voids. First, we divide the microseismic monitoring area into two categories of mediums—voids and non-voids—using a flexible triangular patch to model the surface model of voids, which can accurately describe any complicated three-dimensional (3D) shape. Second, the nodes are divided into two categories. The first category of the nodes is the vertex of the model, and the second category of the nodes is arranged at a certain step length on each edge of the 3D surface model to improve the accuracy of ray tracing. Finally, the set of adjacent nodes of each node is calculated, and then we obtain the shortest travel time from the source to the receiver based on the Dijkstra algorithm. The performance of the proposed method is tested by numerical simulation. Results show that the proposed method is faster and more accurate than the traditional ray-tracing methods. Besides, the proposed ray-tracing method is applied to the microseismic source localization in the Huangtupo Copper and Zinc Mine. The location accuracy is significantly improved compared with the traditional method using the constant velocity model and the FMM-based location method.

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