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Visualizing Prestack and Multi-Component Data in OpendTect

Visualizing Prestack and Multi-Component Data in OpendTect. OpendTect Master Class June 15, 2014. Introduction Prestack Visualization In 3D scene In 2D Panel Display Gathers Display Mute, Display Angle Gathers Multi-Component Visualization Evaluation of Multi-Component Data

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Visualizing Prestack and Multi-Component Data in OpendTect

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  1. Visualizing Prestack and Multi-Component Data in OpendTect OpendTect Master Class June 15, 2014

  2. Introduction • Prestack Visualization • In 3D scene • In 2D Panel • Display Gathers • Display Mute, Display Angle Gathers • Multi-Component Visualization • Evaluation of Multi-Component Data • Example: Spectral Decomposition Cube Outline

  3. This presentation will first cover the visualization of prestack data in OpendTect and continue with a method for viewing (and evaluating) multi-component data. • The steps for each method will be covered. • Requirements: • Sufficient RAM (8+GB) and a good graphics card (1+GB) Introduction

  4. License Requirements • PrestackVisualization No additional license required • In 3D scene • In 2D Panel • Display Gathers • Display Mute, Display Angle Gathers • Multi-Component Visualization No additional license required • Evaluation of Multi-Component Data • Example: Spectral Decomposition Cube Introduction

  5. Introduction • Prestack Visualization • In 3D scene • In 2D Panel • Display Gathers • Display Mute, Display Angle Gathers • Multi-Component Visualization • Evaluation of Multi-Component Data • Example: Spectral Decomposition Cube Outline

  6. Using the Penobscot dataset (available on the OSR) • Load an inline (or crossline) and right-click on the data displayed in the scene in order to load the prestack which is displayed in the crossline direction PrestackVisualization (3D Scene)

  7. The positions pop-up allows you to step along the inline in user-defined steps or enter the crossline number directly. • Alternatively, you can drag the prestack directly to reposition and the data is displayed on release: Prestack Visualization (3D Scene)

  8. Introduction • Prestack Visualization • In 3D scene • In 2D Panel • Display Gathers • Display Mute, Display Angle Gathers • Multi-Component Visualization • Evaluation of Multi-Component Data • Example: Spectral Decomposition Cube Outline

  9. The prestack data may also be displayed in the 2D Viewer (right-click on the prestack in the scene): Prestack Visualization (2D Panel)

  10. The ‘Set Positions’ icon allows you to change the ranges and step (therefore the number of gathers displayed): Prestack Visualization (2D Panel)

  11. The ‘Set Gather Data’ icon allows for selection of multiple gathers: Prestack Visualization (2D Panel)

  12. The ‘Set seismic display properties’ icon gives display options for individual gathers: Prestack Visualization (2D Panel)

  13. Introduction • Prestack Visualization • In 3D scene • In 2D Panel • Display Gathers • Display Mute, Display Angle Gathers • Multi-Component Visualization • Evaluation of Multi-Component Data • Example: Spectral Decomposition Cube Outline

  14. Clicking on the ‘Pre-processing’ icon allows the following options: Prestack Visualization (2D Panel)

  15. You may load and display mute functions: Prestack Visualization (2D Panel)

  16. Angle data may be displayed: Prestack Visualization (2D Panel)

  17. Introduction • Prestack Visualization • In 3D scene • In 2D Panel • Display Gathers • Display Mute, Display Angle Gathers • Multi-Component Visualization • Evaluation of Multi-Component Data • Example: Spectral Decomposition Cube Outline

  18. Using the Spectral Decomposition attribute as an example, we will demonstrate how it’s possible to create a multi-component cube. • It is still quite cumbersome in v4.6, but in v5.0 this process will be enhanced and made more user-friendly. • The general idea (v4.6) is that one creates a ‘pseudo-prestack’ cube using the ‘Create multi-cube pre-stack data store’ feature(located via the ‘Manage 3D PrestackSeismics’ window). Multi-Component Visualization

  19. The frequency components of Spectral Decomposition are each assigned a ‘pseudo-offset’ value as the cube is constructed Multi-Component Visualization

  20. It may be useful to label your frequencies with ‘appropriate pseudo-offsets’ (ie: 4Hz-400m, 8Hz-800m, etc.) Multi-Component Visualization

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