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Shriram Srinivasan

CNLS Postdoctoral Research Associate
EES-16/CNLS

Porous media, flow and transport in coupled systems; Theoretical and Computational Mechanics

Shriram Srinivasan

Office: TA-3, Bldg 1690, Room 134
Mail Stop: B258
Phone: (505) 605-4910
Fax: (505) 665-2659

shrirams@lanl.gov
home page

Research highlight
     Educational Background/Employment:
    • Ph.D. (2013) Mechanical Engineering, Texas A&M University, College Station.
    • M.S. (2013) Mathematics, Texas A&M University, College Station.
    • M.S. (2008) Mechanical Engineering, Texas A&M University, College Station.
    • B.Tech (2006), Mechanical Engineering, National Institute of Technology, Tiruchirappalli.

    Research Interests:

      I am interested in modelling and numerical simulation, especially reduced-order models, of flow and transport through porous media of different kinds. I have experience in implementing classical upscaling methods that target oil sands, as well as methods based on graph-theory and machine-learning to accelerate simulations of flow through fractured media.

    Selected Recent Publications:

    1. S. Srinivasan et al, Model reduction for fractured porous media: a machine-learning approach for identifying main flow pathways, Computational Geosciences (2019)
    2. S. Srinivasan et al, Robust system size reduction of discrete fracture networks: a multi-fidelity method that preserves transport characteristics, Computational Geosciences (2018)
    3. J. Hyman et al, Identifying backbones in three-dimensional discrete fracture networks: a bipartite graph-based approach, Multiscale Modeling & Simulation (2018)
    4. S. Srinivasan & A. Tornberg Fast Ewald summation for Green's functions of Stokes flow in a half-space, Research in the Mathematical Sciences (2018)
    5. P. Minev et al Flux formulation of parabolic equations with highly heterogeneous coefficients, Journal of Computational & Applied Mathematics (2018)
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