Application of Multi-scaled Morphology in Microseismic Weak Signal Detection

As reliable signal detection determines the accuracy of microseismic data processing, we have sought an effective method to distinguish useful signal and noise. The theory of this method is multi-scaled mathematical morphology based on slight differences of seismic wave shape. After original microseismic signal is decomposed into series of different scales, the waveform shape of weak signal becomes distinct and easy to detect. We provided theoretical and actual examples of morphological decomposition and signal detection in this paper and found that multi-scaled morphological decomposition plays a commendable part to intensify weak signal and effectively improves the ability to detect microseismic weak signal.