Error Analysis of a Localization Algorithm for Finite-Duration Events

Energy spectral density characterization of microseismic events in potash mines

“…The performance of an algorithm used to locate finiteduration events that may have small time-bandwidth products is presented in [2]. Though the algorithm under study in [2] could be used in microseismic software it is not the algorithm used in CANSEIS.…”

“…Though the algorithm under study in [2] could be used in microseismic software it is not the algorithm used in CANSEIS. In [2], an expression for the variance of location error is developed, and this expression is a function of the energy spectral density. In the example presented here the ESDs calculated in the previous section are used in the evaluation of the variance of location error.…”

“…Only the successive event type signal ESDs are used since they are by far the more numerous type of signal in each mine. The sensor system as well as the other parameters, such as the signal-to-noise ratio (SNR), are the same as used in the simulation given in [2]. The SNR was kept constant at 10 dB.…”

“…The spectral characterization of microseismic events in mines is an important prerequisite for tasks such as source parameter determination [1] and event location [2]. Presented here are the results of a microseismic event energy spectral density (ESD) characterization for two potash mines.…”

“…These two characterizations are compared and then used in an example. The example computes the variance of error, derived in [2], for a single-step localization algorithm described in [2].…”