Center for Modeling of Coupled Subsurface Dynamics
New team member

Yuri Zabegaev is joining the CSD

Yuri Zabegaev is a new Ph.D. student at the Department of Mathematics and his project is part of the Center for Modeling of Coupled Subsurface Dynamics. We met him to find out more about his background and the project.

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Yuri, Welcome to the University of Bergen!

Thank you! I’m happy to join the team.

Since most of us don’t know you well, can you tell us a bit about your background?

I was born and raised in Moscow, Russia. I studied applied mathematics and physics at the Moscow Institute of Physics and Technology, where I got my master's degree in 2022. I worked as an intern student at Schlumberger Moscow Research center from 2019 to 2022. There, I took part in the development of the multiphase fluid simulator on the pore scale. My research interests include numerical methods and simulations of porous media. Among other things, I enjoy playing guitar and snowboarding.

Why did you choose to pursue a PhD?

I enjoy tackling new problems that require curiosity and deep understanding. For me, the PhD was a natural way to pursue this research path.

Your PhD project is part of the CSD, can you tell us a little bit about your project?

At the CSD, multiple complicated subsurface numerical problems are solved. These problems usually contain multiple physical processes. The problems are solved numerically, and it requires a tailored solver algorithm to run the simulations efficiently. Usually, the development of this algorithm takes a lot of researcher time.

The purpose of my project is to build an automatic decision-making framework able to choose the best solver for the given subsurface multiphysics problem. We plan to rely on data from previous simulations and extend the knowledge with the new data, collected from new simulations. Thus, the framework will be able to automatically improve the quality of decisions made. It is planned, that the framework will alleviate the process of choosing the solver, increase the efficiency of the simulations, and accelerate the implementation of new physical models.