Enhancement of Microseismic Events Using Tensor Decomposition and Time-frequency Representation

Analysis of passive microseismic data is usually a challenging task due to low signal-to-noise ratio environment. This study introduces an approach for enhancing the microseismic events using tensor decomposition and time-frequency representation. The proposed method shows promising results when applied on microseismic data set.