Imaging techniques which provide the spatial distribution of microseismic events are increasingly used to monitor the behaviour of geothermal reservoirs during production. As seismometers are installed for longer time, the volume of recorded data volumes are getting too large to apply classical approaches of seismological event localization. We developed a seismic event localization method which is called “shift delay and stack” (SDS) which is based on the depth migration of a characterstic function (CF) derived from the recorded wavefield. The depth location of the event is determined based on the global maximum of a coherency function. We also introduce a new kurtosis-based CF which enhances the onset of the P-wave arrivals. No picking is needed to apply the SDS method for event localization, hence data preparation and processing time can be reduced. The SDS method is applied to the microseismic data recorded at a geothermal field in Indonesia. The results show that the SDS method is capable of producing reliable event locations. The location uncertainty can be deduced from the results. Two previously known N-S trending faults are successfully detected by the algorithm. Moreover, the extension of the productive reservoir volume can be identified by our investigation.


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