Baylor University and CASPER present:
Dr. Jeonghun Lee
Department of Mathematics
Bayesian Inversion of Subsurface Flow Models with Faults
In this talk we consider Bayesian inverse problem for reconstruction of fault parameters and quantity of interests for subsurface flow models with faults. In the first part of talk the framework of Bayesian inversion will be introduce. In the second part, physical model is introduced and our Bayesian inversion approach will be presented with numerical results.
Jeonghun Lee completed his B.Sc. and M.Sc. in Mathematics at the Seoul National University, South Korea, in 1999 and 2002, respectively. He earned his Ph.D degree under the advice of Douglas N. Arnold in 2012 at the University of Minnesota at Twin Cities. After his Ph.D. he worked as a postdoctoral researcher at Aalto University in Finland, the University of Oslo in Norway, and as a research fellow at the Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Lee joined the Baylor faculty in August 2018. His research interests include numerical methods for partial differential equations (finite element methods), preconditioners for multiphysics problems, and computational methods for solid and fluid mechanics.
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