Going Adaptive to Improve Simulation of Complex Flow Processes in Subsurface Formations
The computational mathematician’s mecca may well be subsurface. Here, he/she can encounter fluid flow processes that are governed by strongly nonlinear equations that are multi-scale in character and take place in highly heterogeneous formations.
When I made my journey down hole, I became intrigued with compositional and thermal processes for Enhanced Oil Recovery, such as miscible gas injection and in-situ combustion, as well as geological CO2 sequestration. I’m interested in the design of flexible computational tools for these complex processes that can readily be adapted to multiple flow characteristics and reservoir realizations. In this talk I will discuss recent developments in grid and solver adaptivity that offer flexibility and enable control of accuracy and efficiency.
Margot Gerritsen, Stanford University
