Spectral evaluation is a very important operation in the processing of microseismic signals. In this poster we consider the microseismic signals that can be recorded at a point from the Earth’s surface as a random process (signal) with many realizations and we present a methodology for the evaluation and statistical stabilization of its frequency spectrum. This methodology requires the computation of a large number of discrete Fourier transforms (DFTs) for microseismic signal fragments represented by a very large number of samples. So, finally, we show that in this case it can be taken into consideration the use of a decomposition DFT algorithm. This algorithm optimizes the fact that fewer frequency samples than the original time samples are needed. The methodology for the evaluation of microseismic spectra is illustrated by real data examples.


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