We were honored to have two of our PhD students Yasasya Batugedara Mohottalalage and Yue(Emily) Kang compete in the 3-Minute Thesis Competition on November 4, 2021. This is such awe-inspiring experience and accomplishment for our students.
PhD student majoring in Applied Math under the supervision of Dr. Yang. Yue(Emily) current research focus is on developing Bound-preserving discontinuous Galerkin (DG) methods for the coupled system of compressible miscible displacement problems.
Presented research was ‘Designing Numerical Solvers for Simulating Flows in Fractured Porous Media’.
Abstract: Numerical simulation of fluid flow in fractured porous media is of great significance for improving oil recovery in naturally fractured reservoirs, contaminant transport in fractured rocks and underground radioactive waste reservoirs. One more application is carbon capture and storage. Fractures have always been regarded as potential storage space for CO2. Since fractures have low storage and high permeability values which could allow CO2 to migrate quickly through the cap rock to the surface or to neighboring aquifers. The increasing pressure can lead to hydro fracturing in the vicinity of wells. Referring to the numerical experiment results from Dr. Yang, the concentration of flows shows very good performance with some given speeds. Her further research is aimed at developing more efficient and robust numerical solvers for simulating flows in fractured porous media.
Yue(Emily) would like state her appreciation to Dr. Yang and Mr. Jacob Blazejewski for their efforts in helping her prepare the presentation.
She made it to the finals and was awarded the People’s Choice Award. Such an amazing experience and so very impressive to do this in just 3-minutes.
Yasasya Batugedara Mohottalalage
PhD student majoring in Applied Math under the supervision of Dr. Labovsky.
Presented research which was published with Dr. Labovsky and Kyle Schwiebert. The topic
was “Higher Temporal Accuracy for LES-C Turbulent Models”.
Abstract: Large Eddy Simulations(LES) are widely used in modeling turbulent flows. In Labovsky(2020),
a method called Large Eddy Simulation with Correction (LES-C) was proposed to reduce the
modeling error. However, there was a need to reduce the Time discretization error of the LES-C
models. Therefore, we propose a method that uses a predictor-corrector scheme called Deferred
correction to reduce the Time discretization error.
“Mathematics is an area which is hard to present to general public without any technical jargon. Therefore, it is a challenge to present any math topic to general public in three minutes. Even though I was unable to get selected to the finals, I gained a wonderful experience by participating. Therefore, I would like to thank my advisor Dr. Labovsky for constant advice and support, Mr. Jacob Blazejewski for guiding and mentoring me for the 3-Minute Thesis Competition, as well as Emily Kang and Zazil Santiso Huerta for their help.”