Abstract

In rock mass disturbed by mining activity, distortions in the stress balance may lead to seismic energy being emitted in reactivated seismogenic structures. One way of increasing the imaging resolution of these seismically active structures is through relocation, which itself can be achieved using the cloud collapsing method. This method partially eliminates perturbations in the location of seismic energy sources concerning the actual positions of these sources. It enables events to be grouped into spatially ordered structures that may correspond to actual tectonic structures, such as fractures, fissures, or faults. We present the results of applying the collapsing method in mining seismology using a cloud of located events recorded during mining activity at one of the coalfaces in the Bobrek hard coal mine. The relocation procedure was applied to all the foci of events recorded during mining activity on face 3/503 between April 2009 and July 2010. In the relocated point cloud, two types of the linear structure responsible for generating events are automatically distinguished using the HDBSCAN algorithm: structures directly related to mining activity and structures associated with local tectonics. The location of the separated structures of the first type corresponds to the range of coalface 3/503 and the shafts delimiting earlier mined seams 507 and 509 located below. The isolated structures of the second type, with almost vertical orientation, are associated with existing zones of discontinuity that become seismically active as a result of mining activity. The identified structures lie near the biggest events recorded, which is evidence that these structures may correspond to real discontinuity zones.

Highlights

  • Underground mining of mineral resources or energy resources leads to changes in stress distribution in mining areas

  • Due to the significant impact that seismic event location errors have on the collapsing procedure, we addressed the problem of identifying errors in the location of events recorded during the advance of the coalface

  • Asanuma et al proposed a modification of the first version of the a number of radius values ε are used in the HDBSCAN algorithm, and the clusters identified by this collapsing method, where the structure of the cloud depends on the distribution of locations within confidence ellipsoid [31]

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Summary

Introduction

Underground mining of mineral resources (e.g., hard coal) or energy resources (e.g., crude oil, natural gas, or geothermal energy) leads to changes in stress distribution in mining areas. Due to the mechanism of their sources, these phenomena are mainly associated with a fault network whose existence is postulated based on tectonic and structural studies as well as on the genesis of individual geological structures. Their existence and location can only be inferred indirectly from seismic events. Together with the structural and geomechanical factors that contribute to high seismic activity both in this and in neighboring areas This part will be followed by a short description of the collapsing method applied to the seismic sources and hierarchical density-based spatial clustering of applications with noise algorithm (HDBSCAN). We present the benefits of the analyzed method in studies of mining-induced seismicity, as well as their limitations

Geological
Geological profile coalseam
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