A natural way to represent this network is mesh. This module can give first-order look of connectivity. Then a question is naturally arosen that how fluid is simulated by the computer if network is build up. An animated AVS module was written to accomplish this, fluid migration is commonly simulated by particles moving inside network. We also developed a technique to skeletonize reservoirs in 2D or 3D space, skeletonization is very similar to find fingering of fluid.
Skeletons are trace of highest seismic amplitude.
Except special visualization techniques developed at GBRN, we also have a series of modules to perform very basic visulization of 2D and 3D seismic dataset. Modules to visualize seismic horizons, mapping geophysical data to corresponding horizons, visualizing well logging data, orthogonal slicing, slicing by horizons, faults, multiple sliceing through a seismic cube. The following figures show some results obtained from our visualization tools. The depth range of this dataset is 5000 ft to 25,000 ft. The big bulb sitting on bottom is the big salt body, all reservoirs are clustered on the top level.