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首页> 外文期刊>Geophysics: Journal of the Society of Exploration Geophysicists >Calibration of a local magnitude relationship for microseismic events using earthquake data
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Calibration of a local magnitude relationship for microseismic events using earthquake data

机译:使用地震数据校准微震事件的局部震级关系

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摘要

Calibration of local seismic arrays is crucial to quantify the magnitude of local microseismic events. This is traditionally done by performing a site survey consisting of calibration shots at known locations with known strength. However, when a calibration survey cannot be conducted, alternative calibration methods are required. We have demonstrated the feasibility of magnitude estimation of microseismic events recorded at the CO2 storage site at Ketzin (Germany), by analyzing earthquake signals that have been recorded on the noncalibrated geophone array and on standardized seismometers of a regional seismological network. We estimated a linear calibration relation by fitting three different signal attributes for 10 distant earthquakes. Through extrapolation of the linear fit toward lower magnitudes, we estimated the local magnitude of weak local seismic events. Reported magnitudes of the distant earthquakes show significant variation because there are different methods and constants used to calculate a magnitude estimate from recordings on multiple seismometers. As a consequence, there was a considerable spread in our magnitude estimates for the Ketzin events. We found magnitude values in the range between -2.2 and -0.3 for two local events recorded at the Ketzin site. We expect that by incorporating additional distant earthquake data, the uncertainty in this estimate can be further reduced.
机译:局部地震阵列的校准对于量化局部微地震事件的大小至关重要。传统上,这是通过在已知位置以已知强度执行包括标定镜头的现场调查来完成的。但是,如果无法进行校准检查,则需要其他校准方法。通过分析在非校准地震检波器阵列和区域地震台网的标准化地震仪上记录的地震信号,我们已经证明了在Ketzin(德国)的CO2储存地点记录的微地震事件的震级估算的可行性。我们通过拟合10个遥远地震的三种不同信号属性来估计线性校准关系。通过向较低震级线性拟合外推,我们估算了弱局部地震事件的震级。所报告的遥远地震震级显示出很大的变化,因为有多种方法和常数用于根据多个地震仪上的记录计算震级估算。结果,我们对Ketzin事件的震级估计有相当大的差异。我们发现在Ketzin站点记录的两个局部事件的幅度值在-2.2到-0.3之间。我们期望通过合并更多的遥远地震数据,可以进一步减少此估计中的不确定性。

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