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Weak Signal Detection Using Multi-scale Morphology
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 80th EAGE Conference and Exhibition 2018, Jun 2018, Volume 2018, p.1 - 5
Abstract
Summary
Seismic data sometimes contain weak reflection signal because of complex subsurface structure, weak contrast interfaces and long travel time. The weak signal is hardly to detect and always carry detailed subsurface’s information, which is important for the small-scale structure and details imaging. For detection of weak signal, we present novel mathematical morphology based technique that can detect weak signal from the aspect of the shape of seismic wave. In the presented techniques, the seismic data are first decomposed into a number of multi-scale morphological components and then several components corresponding to the shape of signal are selected for the reconstruction of weak signal. A non-stationary weighting operator is introduced to the process of reconstruction to reinforce the extraction of weak signal from the selected components. The reconstruction of weak signal is formulized as an regularized inversion problem. The regularized non-stationary method can be understood as a non-stationary matching filtering method, where the matching filter has the same size as the data to be filtered. A field data example demonstrates a successful performance of the presented technique.
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