Surya T. Sathujoda

Data Scientist,
Schlumberger,
Oxford, UK
I am a Data Scientist at SLB working in the Numerical Simulation team where my primary role is research aimed at physics-informed deep learning for fluid dynamics.
Previously, I studied Part III Mathematics at the University of Cambridge, focusing on Theoretical Physics and Machine Learning. I did my Part III Essay (Dissertation) on ‘Deep Learning for Partial Differential Equations’ in the Cambridge Image Analysis Group, supervised by Prof. Carola-Bibiane Schönlieb and Dr. Angelica Aviles Rivero.
I also hold two undergraduate degrees in Computer Science and Physics, awarded by the Universities of Manchester and Southampton respectively.
news
Mar, 2025 | Our paper on ‘Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3D Reservor Simulation’ was selected for Oral Presentation at the SPE Reservoir Simulation Conference 2025. |
---|---|
Sep, 2024 | Our paper on ‘Modeling Complex Fluid Flow in Porous Media Using Graph Neural Networks’ was selected for Oral Presentation at ECMOR 2024. |
Sep, 2023 | Joining Schlumberger as a Data Scientist in the Physics group of the Simulation team. |
Jul, 2023 | Joining the Cambridge Image Analysis group in the Department of Applied Mathematics and Theoretical Physics as a Visiting Research Student. |
Jun, 2023 | Our paper on Physics-informed Localized Learning has been accepted to ICML 2023 Workshop on New Frontiers in Learning, Control and Dynamical Systems. |
Publications
-
Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3D Reservoir SimulationIn SPE Reservoir Simulation Conference, Mar 2025
-
Modeling Complex Fluid Flow in Porous Media Using Graph Neural NetworksIn European Conference on the Mathematics of Geological Reservoirs, Sep 2024