ERE Seminar: Gowri Srinivasan, LANL — Predictions of flow and transport in fractured media in the subsurface using graph-based machine learning

Monday, March 12, 2018

12:30 pm

Room 104, Green Earth Sciences Building, 367 Panama Street, Stanford Map

Sponsored by:
Energy Resources Engineering


Predictions of flow and transport in fractured media in the subsurface using graph-based machine learning

Gowri Srinivasan

Los Alamos National Laboratory | LANL

Flow through fractured media in the sub-surface is heavily dependent on microstructural information. Continuum models often eliminate features critical to accurately predicting macroscale behavior but are commonly used since resolving thousands of  fractures individually is computationally intractable. We overcome this hurdle by developing compact graph representations of the fracture networks, and using machine learning algorithms to mimic the detailed physics at the microscale. The resulting workflow has been shown to achieve up to 4 orders of magnitude computational speedup while maintaining accuracy.

When:
Monday, March 12, 2018
12:30 pm – 1:30 pm
Where:
Room 104, Green Earth Sciences Building, 367 Panama Street, Stanford Map
Tags:

Environment Engineering Seminar Science 

Audience:
General Public, Faculty/Staff, Students, Alumni/Friends, Members
Contact:
650.725.9835, jpcastro@stanford.edu
More info:
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