4D Morph: Dynamic Visualization of 4D Reservoir Data With Continuous Transitions Between Time Steps.

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,
        author = { Buatois, Luc and Caumon, Guillaume },
         title = { 4D Morph: Dynamic Visualization of 4D Reservoir Data With Continuous Transitions Between Time Steps. },
     booktitle = { Proc. 25th Gocad Meeting, Nancy },
          year = { 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). }
    }