Hypercube viewer update

Auto-picking

Picking every X-Y location is too human-intensive to be practical. As a result, auto-pickers are used to speed up what is still a human-intensive task. Hypercube has two 2-D auto picking options. Both of these options use a dynamic programming Liner and Clapp (2004) approach to find the most likely path between a set of user picked points. The difference between the two approach is how the dynamic programming score matrix is constructed.

The user begins by selected several points along a given interface (Figure 2(a)).Hypercube has the concept of a single axis for each pick set. The best way to understand the single axis is through a couple examples. When picking NMO velocities you do not want more than one velocity at a given time and midpoint. As a result, the velocity axis would be the single axis. When picking surfaces, Hypercube forces you to pick an axis (such as depth) where you will not have multiple depths at any given location.

pick,auto
Figure 2. a) Several picks on an inline section. b) The result of using the modified Brown auto-picker on the picks shown in a).

The definition of a single axis allows the viewer viewer to construct a linear path between pairs of user specified points (the linear path is along the non-single axis). Points are then extracted by taking points that are to either side (along the single axis) of the line segments making a 2-D matrix. The 2-D matrix is as wide as the distance between the first and last picked points along the non-single axis and is as high as $2nc+1$ , where $nc$ is the user specified number of points to either of the line segment that are extracted. At this stage the two auto-picking approaches (correlation Viteribi and Brown) diverge. In the correlation approach, the score matrix is constructed by cross correlating a vector at a picked location with the vector at the test location. The Brown method (Brown et al., 2006) substitutes amplitude for velocity and uses an Eikonal solver to find the best path between picked points. Figure 2(b) demonstrates the result of running the Brown auto-picker on the picks shown in Figure 2(a).

The auto-picker provides some level of 3-D picking through extending a series of 2-D picked lines. Figure 3 show the result of auto-picking three in-lines. The auto picker will loop through the planes perpendicular to picked lines using the specified auto-picking methods to create a dense pick-set. The left panel of Figure 4 shows the result of extending a series of picked lines.

multi Figure 3. The result of picking two additional inline using the auto-pickers.

Hypercube viewer update