Improvements in seismic event locations in a deep western U.S. coal mine using tomographic velocity models and an evolutionary search algorithm

被引：6

作者：

LURKA, Adam ^{[1
]}

SWANSON, Peter ^{[2
]}

机构：

[1] Central Mining Institute, Katowice

[2] NIOSH, Spokane Research Laboratory, Spokane, WA

来源：

Mining Science and Technology | 2009年 / 19卷 / 05期

关键词：

an evolutionary search algorithm; seismic event location; tomographic velocity model;

D O I：

10.1016/S1674-5264(09)60111-3

中图分类号：

学科分类号：

摘要：

Methods of improving seismic event locations were investigated as part of a research study aimed at reducing ground control safety hazards. Seismic event waveforms collected with a 23-station three-dimensional sensor array during longwall coal mining provide the data set used in the analyses. A spatially variable seismic velocity model is constructed using seismic event sources in a passive tomographic method. The resulting three-dimensional velocity model is used to relocate seismic event positions. An evolutionary optimization algorithm is implemented and used in both the velocity model development and in seeking improved event location solutions. Results obtained using the different velocity models are compared. The combination of the tomographic velocity model development and evolutionary search algorithm provides improvement to the event locations. © 2009 China University of Mining and Technology.

引用

页码：599 / 603

页数：4

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