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Line 55: − The figure below is a sketch of a simple voxel tracking algorithm and its behavior under two different continuity constraints. Six-way connectivity restricts the search from one voxel to only the neighboring voxels that are connected face to face. Twenty-six-way connectivity allows the search to proceed between neighboring voxels that are connected face to face, edge to edge, or corner to corner. The connectivity constraint that is used affects the outcome of the voxel tracking. − + + +
Picking horizons in 3-D data (view source)
Revision as of 14:08, 18 February 2014
, 14:08, 18 February 2014→Voxel tracking assumptions
==Voxel tracking assumptions==
==Voxel tracking assumptions==
[[file:interpreting-3-d-seismic-data_fig13-6.png|thumb|{{figure number|13-6}}. Copyright: Dorn, 1998; courtesy SEG.]]
[[file:interpreting-3-d-seismic-data_fig13-6.png|thumb|{{figure number|2}}. Copyright: Dorn, 1998; courtesy SEG.]]
[[:file:interpreting-3-d-seismic-data_fig13-6.png|Figure 2]] is a sketch of a simple voxel tracking algorithm and its behavior under two different continuity constraints. Six-way connectivity restricts the search from one voxel to only the neighboring voxels that are connected face to face. Twenty-six-way connectivity allows the search to proceed between neighboring voxels that are connected face to face, edge to edge, or corner to corner. The connectivity constraint that is used affects the outcome of the voxel tracking.
Like autopicking, voxel tracking assumes that the data are locally continuous, consistent, and connected or smooth. Both techniques assume a consistent phase is being interpreted from the data.
Like autopicking, voxel tracking assumes that the data are locally continuous, consistent, and connected or smooth. Both techniques assume a consistent phase is being interpreted from the data.