9. Volume Interpretation and Visualization
- User can track single or multiple horizons from one or multiple seismic attribute volumes in 3-D based on waveforms
- User can edit horizon surfaces in 3-D to remove abnormal traces
- Horizon editing through 2-D cross plotting
- User can digitize fault sticks on seismic section or time slice in 3-D. Fault surfaces are automatically constructed in real-time during the digitizing process
- User can select seed points on fault likelihood attribute to track fault surfaces
- User can automatically generate fault surfaces automatically from a fault likelihood attribute volume with few parameter controls
- User can make geobodies by using several algorithms
- Paint brushing on section, horizons and time slice with controls of threshold values
- Thresholding based on single or multiple attributes
- Convert from facies volume or facies strata-grid
Volume opacity for sub-volumes of multiple 3-D attribute volumes, horizon, strata-grid attributes. Physically based volume rendering for multiple attribute volumes.
Co-rendering & multi-attribute overlay
User can select any two attributes to define a co-rendering object which can be visualized in 2-D and 3-D visualization windows. User can edit color map and opacity curve of each attribute in the co-rendering object. Overlay unlimited number of attributes on the same seismic section and base map windows.
User can select three or four attributes to define a RGB(A) object that can be rendered in 2-D and 3-D visualization windows. RGB(A) objects can be defined for volume, strata-grid, interval or horizon objects. RGB volumes can be automatically created after spectral decomposition calculation. Non-linear data-color transform to highlight the range of interests in spectral decomposition.
Rose diagram plot
User can define size of rectangular area for which rose diagram of an azimuthal attribute can be visualized in 3-D and 2-D windows.
User can define vector plot object by specifying attributes representing length, orientation, dip and color of a rectangular. The vector plot is used for visualizing pre-stack inversion attributes, such as fracture density and orientation volumes