10 December 2020

noon (virtual event)

Event link will be published at https://events.vtools.ieee.org/m/249195 prior to the event.

Abstract:

Shales are fine-grained sedimentary rocks that contain large natural gas & petroleum sources. Shales are also an attractive repository for permanent geologic carbon sequestration. However, the transport properties in shales are challenging to measure experimentally and predict numerically with continuum-based models, because of their non-uniform pore distribution on the “mesoscale” (nano-to-micro) and their physical & chemical heterogeneity in material properties under nanoconfinement. This talk will present an overview of recent advances in the R&D of atomistically-informed, experimentally-validated mesoscale fluid phase-behavior and transport models under the support of the Idaho National Laboratory’s Laboratory-Directed R&D (LDRD) program and U.S. Department of Energy (DOE) Office of Science Basic Energy Sciences (BES) Energy Frontier Research Center (EFRC) for Multi-Scale Fluid-Solid Interactions in Architected and Natural Materials (MUSE). The flow models have been implemented in multi-GPU-enabled packages and deployed for scientific discoveries on DOE’s leadership-class supercomputers, Titan and Summit (previously and presently world’s fastest, respectively). Studies have shown that these supercomputers have facilitated large-scale nanoporous flow simulations that were previously not possible.

Yidong Xia, Ph.D., Computational R&D Scientist

Energy and Environment Science & Technology Directorate

Idaho National Laboratory

Bio:

Dr. Xia is a computational R&D scientist for the U.S. Department of Energy (DOE) Idaho National Laboratory’s (INL) Energy and Environment Science & Technology Directorate. Dr. Xia obtained his Ph.D. degree in Aerospace Engineering with a Minor in General
Mathematics at North Carolina State University. At INL, Dr. Xia’s research and leadership experience are mostly in the areas of
bioenergy, environmental subsurface science, nuclear energy, fossil energy, geothermal energy, and high-performance scientific computing. Dr. Xia’s technical expertise spans several fields, including computational fluid dynamics and heat transfer, computational particle mechanics, computational chemistry, and nuclear material and thermal hydraulics. Dr. Xia currently serves as the PI for INL as a partner in “Multi-Scale Fluid-Solid Interactions in Architected and Natural Materials” (MUSE), an Energy Frontier Research Center under the support of DOE Office of Science, Basic Energy Sciences Program. He also leads the Material Handling Task in the Feedstock-Conversion Interface Consortium (FCIC) supported by DOE Bioenergy Technologies Office (BETO). Dr. Xia is leading an INL Laboratory Directed Research & Development project focusing on the exascale modeling of geofluids and has been awarded HPC allocations on Oak Ridge National Laboratory’s Summit
supercomputer (presently world’s fastest) under the support of DOE Office of Science, Advanced Scientific Computing Research program. Dr. Xia is INL’s Point of Contact for BETO Consortium for Computational Physics and Chemistry (CCPC) and BETO HPC Allocation Program.