Surya T. Sathujoda

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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

  1. RSC.gif
    Coupled Graph Neural Network and Fourier Neural Operator Architecture for Ensemble Workflows in 3D Reservoir Simulation
    S. T. Sathujoda, and S. Sheth
    In SPE Reservoir Simulation Conference, Mar 2025
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    Modeling Complex Fluid Flow in Porous Media Using Graph Neural Networks
    S. T. Sathujoda, and S. Sheth
    In European Conference on the Mathematics of Geological Reservoirs, Sep 2024
  3. EPC-FNO.jpg
    Exciton-Polariton Condensates: A Fourier Neural Operator Approach
    Surya T. Sathujoda, Yuan Wang, and Kanishk Gandhi
    In NeurIPS 2023 AI for Science Workshop, Sep 2023
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    Physics-informed Localized Learning for Advection-Diffusion-Reaction Systems
    Surya T. Sathujoda, and Soham M Sheth
    In ICML Workshop on New Frontiers in Learning, Control, and Dynamical Systems, Sep 2023