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Computational Science Seminar by Masakazu Gesho
Friday, Sep 16, 2016
12 p.m. - 1 p.m. Location: FO 1.202

Masakazu Gesho

University of Wyoming

Pore Network Extraction and Upscaling: a Big-Data Approach

 

Pore networks provide practical descriptions for porous media to model multi-phase fluid flow by incorporating physically-based displacement mechanisms at the pore scale. To do so, generated networks should retain important features of the pore space topologies affecting fluid flow behavior. In this talk, I will describe an algorithm to construct pore networks from a very large stack of images with realistic physical and flow properties. We are specifically interested in capturing pore level connectivity and concavity in these networks.

By taking advantage of a Big-Data approach to modernize the design of algorithms, HPC to optimize global and local processes, and computer graphics to reconstruct and accurately analyze digital clustered objects, the algorithm will enable us to simulate fluid flow on larger sample sizes without sacrificing resolution.

Contact Info:
John Zweck, 972-883-6699
Questions? Email me.

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