4D Morph: Dynamic Visualization of 4D Reservoir Data With Continuous Transitions Between Time Steps.
Luc Buatois and Guillaume Caumon. ( 2005 )
in: Proc. 25th Gocad Meeting, Nancy
Abstract
The visualization of 4D reservoir data is extremely useful to understand the dynamic behavior
of hydrocarbon reservoirs (e.g.: connectivities between fault blocks, drainage zones). However, informative
visualization is difficult to achieve efficiently, due to the huge amount of information to
process. We propose 4D Morph, an algorithm to extract in real-time isosurfaces from 4D data on
complex unstructured grids. While time-varying data are only stored for a limited number of time
steps, 4D Morph displays continuous model evolution through time. The transition between two
successive time steps is computed by interpolation through time. The complexity of the algorithm
is optimal, since it depends only on the output size. Efficiency is achieved by exploiting spatial,
temporal and range-space data coherency using the mesh topology and interval trees. The interpolation
between discrete time steps incurs only a small performance overhead (about 15%), and
significantly improves the perception of 4D data. The implementation of 4D Morph is generic, and
can be applied to various types of reservoir grids (e.g.: faulted stratigraphic grids, tetrahedralized
solids).
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BibTeX Reference
@inproceedings{223_buatois_2005, abstract = { The visualization of 4D reservoir data is extremely useful to understand the dynamic behavior of hydrocarbon reservoirs (e.g.: connectivities between fault blocks, drainage zones). However, informative visualization is difficult to achieve efficiently, due to the huge amount of information to process. We propose 4D Morph, an algorithm to extract in real-time isosurfaces from 4D data on complex unstructured grids. While time-varying data are only stored for a limited number of time steps, 4D Morph displays continuous model evolution through time. The transition between two successive time steps is computed by interpolation through time. The complexity of the algorithm is optimal, since it depends only on the output size. Efficiency is achieved by exploiting spatial, temporal and range-space data coherency using the mesh topology and interval trees. The interpolation between discrete time steps incurs only a small performance overhead (about 15%), and significantly improves the perception of 4D data. The implementation of 4D Morph is generic, and can be applied to various types of reservoir grids (e.g.: faulted stratigraphic grids, tetrahedralized solids). }, author = { Buatois, Luc AND Caumon, Guillaume }, booktitle = { Proc. 25th Gocad Meeting, Nancy }, title = { 4D Morph: Dynamic Visualization of 4D Reservoir Data With Continuous Transitions Between Time Steps. }, year = { 2005 } }