This project aims to improve the accessibility of new emerging image processing techniques in Digital Material Analysis.
Deep learning using tools such Tensorflow is providing new image processing techniques in the area of Digital Material Analysis including working with digital rock images obtained by micro-Computed Tomography. The quality of these images can be improved beyond the limitations of hardware but it relies upon experimental software which limits its widespread distribution and use. We aim to change that by developing a GUI in the hope of encouraging others to both use this tool and make the tools that they have developed more user friendly.
About the presenter
Dr Peyman Mostaghimi is an Associate Professor in Minerals and Energy Resources at UNSW Sydney. He joined UNSW in 2014. Prior to this, he was a research staff at Imperial College London where he conducted research on multiphase flow and transport in porous media. He holds a PhD in Earth Science and Engineering from Imperial College London, an MSc degree in Mechanical Engineering with specialty in Fluid Mechanics and dual BSc degrees in Mechanical and Petroleum Engineering from Sharif University of Technology. A/Prof Mostaghimi has a broad range of research interests in coal seam gas, reservoir simulation, pore-scale modelling of displacement processes and modelling flow and transport in porous media with applications to oil and gas recovery, subsurface hydrology and environmental studies. A/Prof Mostaghimi is an active member of SPE (Society of Petroleum Engineers), InterPore (International Society for Porous Media), AGU (American Geophysical Union) and IAMG (International Association for Mathematical Geosciences). He is a Council Member for the International Society for Porous Media and an Associate Editor for the Journal of Petroleum Science and Engineering.
This talk will be followed by Hacky Hour at 3pm on Teams.
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