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Researcher

Dr Ying Da Wang

Fields of Research (FoR)

Artificial Intelligence and Image Processing, Petroleum and Reservoir Engineering, Carbon Sequestration Science, Computational Fluid Dynamics

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Biography

PhD: 2020, UNSW, Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis and micro-CT Imaging


My Research Supervision


Supervision keywords

PhD: 2020, UNSW, Machine Learning Methods and Computationally Efficient Techniques in Digital Rock Analysis and micro-CT Imaging


My Research Supervision


Supervision keywords


Areas of supervision

  • Machine Learning Methods for Digital Petrophysics:
    • The digital and data driven nature of image based rock analysis lends itself well to being enhanced by Machine Learning techniques.
  • Efficient and Massive Computations of Pore Scale Flow:
    • Pore-scale flow modelling forms the basis for digital petrophysics modelling, so improving efficiency and methodologies pushes the discipline forwards in assisting in Special Core Analysis.
  • Underground Hydrogen Storage
    • The decarbonisation and energy transition undertaken in the coming decades involves hydrogen resources that require storage, similar to Carbon Capture but with the added requirement of reproducibility

My Teaching

Enhanced Oil Recovery - 2021

Production Engineering - 2021

Business Practices in the Petroleum Industry - 2020, 2021

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Location

Level 2 Tyree Energy Technologies Building