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A seismic attribute analysis was recently performed on the F3 Block (North Sea) 3D dataset using Python. This project aimed to enhance structural and stratigraphic interpretation through a combination of signal processing techniques and advanced attribute extraction.

šŸ”§ Key Workflows Implemented: ā–Ŗļø Instantaneous attributes — Amplitude, Phase, and Frequency via Hilbert Transform ā–Ŗļø Discontinuity detection using: ā€ƒā–«ļø Marfurt Coherence ā€ƒā–«ļø Gersztenkorn’s Eigenstructure-based Coherence ā€ƒā–«ļø Gradient Structure Tensor (GST) method

šŸ“Š The results revealed subtle geological features like faults, thin beds, and stratigraphic variations—demonstrating the power of Python in quantitative seismic interpretation.

A special thanks to Agile Scientific for their valuable open-source resources and contributions to the geoscience community šŸ™

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Seismic Attribute Analysis using Numpy, Scipy and Matplotlib

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