Posted in | Microscopy

Determining Geological Processes via Multi-Scale X-ray and Electron Imaging Coupled to Machine Learning and Numerical Simulation

Join this webinar on 14 April - 11:00 (EDT) / 17:00 (CEST) titled Determining Geological Processes via Multi-Scale X-ray and Electron Imaging Coupled to Machine Learning and Numerical Simulation

About this webinar

The key to most subsurface processes is to determine how structural and topological features at small length scales, i.e., the microstructure, control the effective and macroscopic properties of earth materials.

In this presentation, Oliver Plümper, PhD will show how his laboratory at Utrecht University uses multi-scale X-ray and electron microscopy coupled to machine learning and numerical simulations to address fundamental and societal-relevant subsurface processes with an emphasis on fluid-rock interaction.

Key topics will include:

  • Highlight the importance of statistical microstructural descriptors to quantify scaling behaviors in rocks
  • How machine learning can be used for advanced image reconstruction and quantification
  • The use of advanced microscopy to determine reaction-induced deformation processes

About the event speakers

Oliver Plümper graduated with an MSc in Geoscience from the University of Münster, Germany prior to completing a PhD at the Center for Physics of Geological Processes, University of Oslo, Norway in 2012. Since 2013, Oliver has been an assistant professor at the Department of Earth Sciences, Utrecht University, the Netherlands, in Structural Geology and electron microscopy. He became an associate professor in 2020 at Utrecht University, leading a group that addresses multi-scale earth materials research questions by coupling microscopy with natural observations, experiments, and numerical simulations.

Oliver has been awarded a European Research Council starting grant and numerous national grants. He is also a member of the Young Academy of Europe and, among other prizes, has received the 2020 Research Excellence medal of the European Mineralogical Union.

This web seminar will be led by Matthew Andrew, Ph.D., a scientist currently working with ZEISS Microscopy who is passionate about developing new technologies and workflows within microscopy. Although this involves utilizing and integrating a wide range of different technologies, his current research is focused on the development and application of new reconstruction technologies for X-ray microscopy, particularly using deep learning. Dr. Andrew received his Ph.D. from the Department of Earth Science and Engineering at Imperial College, London. He has published extensively on these topics, including his Ph.D. dissertation, ''Reservoir-Condition Pore-Scale Imaging of Multiphase Flow''.

 

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