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Mathematical Morphological Decomposition for Weak Signal Detection in Micro-seismic Monitoring
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 5
Abstract
Micro-seismic signal is typically weak, compared with the strong background noise. The weak signal detection is necessary in micro-seismic data processing. Classic approaches such as the frequency filtering is limited, or even invalid when the signal and noise share the same frequency band. In order to effectively detect the weak signal in micro-seismic data, we propose a mathematical morphology based approach. We decompose the initial data into several morphological multi-scale components. For detection of weak signal, an orthogonalization operator is proposed and introduced into the process of reconstruction of data by morphological multi-scale components. The orthogonalization operator impels the reconstruction of weak signal. Application of the proposed method on a real micro-seismic data set demonstrates a successful performance.