Large-Scale Volumetric Mesh Visualization and Analysis


Project Description

Very large volumetric meshes are of crucial importance in many areas such as large-scale computational fluid dynamics (CFD) simulations, whether for car engine design or for simulating oil and gas reservoirs. Recent computational advances have led to computational grids of extreme size, such as trillion-cell reservoir simulations. The size and complexity of such grids pose a tremendous challenge to interactive visualization and analysis, and require the development of novel data structures for visualization, e.g., polyhedral grid data structures, as well as data structures for efficient querying and analysis.
Program - Computer Science
Division - Computer, Electrical and Mathematical Sciences and Engineering
Center Affiliation - Visual Computing Center
Field of Study - Visualization

About the

Markus Hadwiger

Markus Hadwiger

Desired Project Deliverables

The oil reservoir visualization and simulation come with several challenges. One of them is to handle a typically large amount of data consisting of multiple attributes of a specific geological area. We want to explore the possibility of predicting these attributes in different but geodetically similar areas using machine learning algorithms. We expect our framework for oil reservoir visualization and simulation to be extended in the way that we will be able to incorporate different machine learning algorithms in the future.