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Conference material: "Proceedings of the International Conference on Computer Graphics and Vision Graphicon (19-21 September 2023, Moscow)"
Authors: Kovalevskiy O., Cancelliere M.
Performance of ParaView Grids for Reservoir Models Visualization
Abstract:
Interactive visualization of subterranean formations models is essential for reservoir engineering. ParaView is a good option - it is feature rich, performance oriented, cross-platform and free and open-source. One of the popular formats for reservoir model storage is GRDECL, which fits well with the nature of the reservoir data and yet is memory efficient. ParaView deals with more generic data formats such as image, structured and unstructured grids, polygonal data. GRDECL reservoir data format has features of both structured and unstructured ParaView grids. However, none of them ideally fit. Using structured grid is very economical, but it can lead to losing some information. Unstructured grid provides precise display, however, requires much more resources. This study illustrates quantitative difference between visualizations based on these two grid types and gives considerations for their application.
Keywords:
Scientific visualization, 3D, ParaView, VTK, python, structured grid, unstructured grid, memory, computational efficiency
Publication language: english,  pages: 14 (p. 199-212)
English source text:
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About authors:
  • Kovalevskiy Oleg,  orcid.org/0000-0003-2537-0035,  Aramco Research Center; Saudi Aramco
  • Cancelliere Michel,  Saudi Aramco