1503 High-Performance and Parallel Computing Methods for Subsurface Modeling

Kalyana Nakshatrala, University of Houston
Justin Chang, Rice University
Matthew Knepley, Rice University
Glenn Hammond, Sandia National Laboratories
Subsurface energy production in the U.S. is greatly tied to the subsurface environment, spanning energy sources (e.g., oil and gas production, coal mining, and geothermal) to waste storage (e.g., CO2 sequestration and radioactive nuclear waste). According to the U.S. Department of Energy, more than 80% of the total U.S. energy needs are satisfied by Engineered Subsurface Systems, Engineered Geothermal Systems, and conventional/nonconventional hydrothermal resources. These problems, however, are often extremely large-scale so it is vital to also quickly and accurately model these processes. With increasing capacity and complexity of processors and memory systems, the need for improving the performance of subsurface flow and transport simulations has become an area of active research. This symposium seeks to bring together researchers to exchange ideas on the recent developments in high-performance computing methods and tools for subsurface modeling.

This symposium invites abstract submissions on a wide range of topics including (but not limited to): (1) Novel numerical discretizations for flow and transport in porous media and geomechanics. (2) Structure-preserving formulations (e.g., satisfying local mass balance, non-negative transport solutions). (3) Efficient solvers and preconditioners for subsurface applications. (4) Cost-benefit analyses of various flow and transport formulations in terms of performance, accuracy and scalability. (5) Capabilities and features of emerging high performance packages for subsurface modeling. (6) High-order discretizations and discontinuous Galerkin methods, and their parallel performance. (7) GPU and heterogeneous computing strategies. (8) Subsurface application problems.