Microseismic System Blast Identification Techniques

Microseismic monitoring is becoming standard practice in the Canadian mining industry, particularly as mines get deeper. Full-waveform microseismic systems allow the operator to distinguish the event source mechanism, e.g., blast, shear slip or stress-induced fracture. At mine sites that heave a microseismic system operator blasts are manually identified by comparing the event waveform traces to the morning blast logs. However, this procedure is not routinely done at sites where a system operator is not present and this can lead to misinterpretation of the data at a later stage, particularly where the interpretation is outsourced, often many years later. It is critical to improve the microseismic data quality and consistency for processing and interpretation with a reliable technique to filter out blasts and blast related seismicity. This paper presents the development and implementation of a simple blast identification and filtering routine. The routine was developed specifically for Vale?s Creighton Mine about a decade ago, but is made sufficiently general so that it can be used at any mine site with an ESG (Engineering Seismology Group Canada) based full-waveform microseismic systems. The routine is strictly a post-processing procedure developed for use with the Access database data structure used by ESG. The algorithm was tested at Creighton Mine and a success rate of 80 to 90% was achieved, when compared to manual blast picks.