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Self-adaptive Multi-scaled Morphology for Weak Signal Detection of Thin Interbedded ReservoirNormal access

Authors: Y. Yuan, R. Wang, W. Huang, X. Chen, Y. Zhou and Y. Jiang
Event name: 78th EAGE Conference and Exhibition 2016
Session: Seismic Attributes (A)
Publication date: 31 May 2016
DOI: 10.3997/2214-4609.201601026
Organisations: EAGE
Language: English
Info: Extended abstract, PDF ( 1.4Mb )
Price: € 20

Summary:
It’s a common phenomenon that the weak signal is masked by the strong low-frequency signal in seismic section of thin interbedded reservoir, which impacts the interpretation of the weak geologic structural information. In this abstract, we introduce the multi-scaled morphology to solve this problem. By decomposing the original seismic data into several morphology scales, we extract the reconstruction factors adaptively from each scale based on the theory of variance norm, and reconstruct the seismic data with those reconstruction factors to feature the weak signal relatively. The examples of synthetic data and real seismic data demonstrates the applicability of multi-scaled morphology in weak signal detection of thin interbedded reservoir.


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