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Enhancing Crystalline Basement Characterization Using 3D Seismic Attributes and Spectral Decomposition: Unveiling Small-Scale Features and Complex Structures

Amr Talaat Tolba 1
1 Institut für Nukleare Entsorgung (INE), Karlsruher Institut für Technologie (KIT)

Abstract:

The application of advanced 3D seismic interpretation techniques, including seismic attribute analysis and spectral decomposition, has proven to be highly effective in enhancing seismic resolution and resolving complex structural and stratigraphic features. While these methods were successfully applied in the DeepStor project to improve seismic resolution in a sedimentary basin, enabling the detection of narrow (25 m wide) paleochannels and small-scale faults, they also hold significant potential for the crystalline basement characterization, as demonstrated in the GeoLaB project. In the DeepStor area, spectral decomposition was employed to decompose seismic data into discrete frequency components, significantly improving vertical and lateral resolution. This approach, combined with coherence, curvature, and amplitude-based attributes, facilitated the identification of subtle stratigraphic and structural features, such as fault systems with throws as low as 10–15 m. Integration of RGB blending and time-frequency analysis further illuminated stratigraphic discontinuities and fault splays, offering insights into fluid migration pathways and reservoir compartmentalization. ... mehr


Volltext §
DOI: 10.5445/IR/1000188848
Veröffentlicht am 17.12.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nukleare Entsorgung (INE)
Publikationstyp Poster
Publikationsdatum 10.04.2025
Sprache Englisch
Identifikator KITopen-ID: 1000188848
HGF-Programm 38.04.04 (POF IV, LK 01) Geoenergy
Veranstaltung 1st GeoLaB Scientific Conference (2025), Potsdam, Deutschland, 09.04.2025 – 11.04.2025
Schlagwörter Crystalline Basement, GeoLaB, Seismic Attributes, Spectral Decomposition
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