Fields of Research (FoR)
Artificial Intelligence and Image Processing, Petroleum and Reservoir Engineering, Carbon Sequestration Science, Computational Fluid DynamicsSEO tags
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
Contact
Publications
by Dr Ying Da Wang
ORCID as entered in ROS
https://orcid.org/0000-0003-0370-4751