A Directional Coherence Attribute for Seismic Interpretation
| Autor: | Yazeed Alaudah, Ghassan AlRegib |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Trace (linear algebra)
010504 meteorology & atmospheric sciences business.industry Covariance matrix Computer science Gaussian FOS: Physical sciences Pattern recognition Rotation matrix Coherence (statistics) 010502 geochemistry & geophysics computer.software_genre 01 natural sciences Geophysics (physics.geo-ph) Physics - Geophysics symbols.namesake Kernel (image processing) Voxel symbols Artificial intelligence business computer 0105 earth and related environmental sciences Block (data storage) |
| Popis: | The coherence attribute is one of the most commonly used attributes in seismic interpretation. In this paper, we propose building on the recently introduced Generalized Tensor-based Coherence (GTC) attribute to make it directionally selective. This directional selectivity is achieved by selecting a directional Gaussian preprocessing kernel and applying a 3D rotational matrix to its covariance matrix. By weighing traces, or voxels, in the analysis cube by their relative proximity to the reference trace or voxel, this approach greatly enhances the clarity of the attribute. Furthermore, by making these weights directional, the proposed attribute gives interpreters greater freedom in exploring and understanding the seismic data. Various results from the Netherlands North Sea F3 block show that this approach greatly enhances the clarity of the coherence attribute and can highlight structures that are not visible using the traditional C3, or GTC coherence. Published in the proceedings of the Society of Exploration Geophysicists' 2017 Annual Meeting |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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