AVS NETWORK TO VISUALIZE IRREGULARLY SAMPLED DATA

Using the new modules described above, and combining them with standard AVS modules, we built an AVS network to visualize irregularly sampled data. Figure 5 shows an example network. In this network, Read Sep90, Infill90 and nD to 2D Slicer modules are connected directly passing each output to downstream modules, reliability information from the nD to 2D Slicer module is also directly connected to the field to plane module while data output is passed through the standard AVS module clamp in order to clip the data values. Finally, the field to plane output is passed to AVS's geometry viewer.

 

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Figure 5 AVS network to visualize irregularly sampled data.

We tested the new modules with a 3-D land survey provided by Arco. This data set was acquired in a Button-patch geometry. We gridded the data onto a 6-D space (time, trace_number_in_bin, cmp_x, cmp_y, AOFFSET and azimuth). Using the Infill90 module we stacked the data across trace_number_in_bin axis and interpolated it across the cmp_x axis. We took slices to display the time and AOFFSET dimensions. Figure 6 shows the resulting geometry displayed without any reliability information and Figure 7 shows the same slice with the trace transparency indicating low fold coverage. Figure 8 show the same slice with transparency indicating high fold coverage (confidence inverted). Finally, Figure 9 shows two slices corresponding to different azimuth values. In this the case transparency indicate interpolated traces.

 

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Figure 6 CMP gather display without confidence information.

 

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Figure 7 CMP gather. Low fold regions are more transparent. In this black and white image, transparency is not as evident, areas that are fairly transparent appear lighter than higher fold, less transparent regions.

 

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Figure 8 CMP gather. High fold regions are more transparent.

 

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Figure 9 CMP gathers corresponding to different azimuth values, transparency indicates interpolated traces