3D diffraction imaging of fault and fracture zones via image spectral decomposition of partial images
| Autor: | Kirill Gadylshin, M. Protasov, Vladimir Tcheverda, A.P. Pravduhin |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Diffraction
geography geography.geographical_feature_category 010504 meteorology & atmospheric sciences Geophysical imaging Orientation (computer vision) Fault (geology) 010502 geochemistry & geophysics 01 natural sciences Matrix decomposition Image (mathematics) Azimuth Geophysics Geochemistry and Petrology Fracture (geology) Algorithm Geology 0105 earth and related environmental sciences |
| Zdroj: | Geophysical Prospecting. 67:1256-1270 |
| ISSN: | 1365-2478 0016-8025 |
| Popis: | The paper presents 3D diffraction imaging based on the spectral decomposition of a different combination of selective or partial images. These images are obtained by the pre‐stack asymmetric migration procedure, which is weighted data summation. Spectral decomposition is done in the Fourier domain with respect to spatial dip and azimuth angles. Numerical examples with the application of different workflows for the synthetic and real data examples demonstrate detailed reliable reconstruction of the fractured zones and reliable reconstruction of fracture orientation on synthetic and real 3D data examples. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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