Geoenergy in the hands of early career researchers - Elahe Kamel Targhi

Webinar Series

In the race to realise the transition to a sustainable energy future, early career scientists are paving the way. By repurposing existing methodologies for novel applications and developing entirely new techniques, research led by early career scientists is driving change.

This series of webinars will give a voice to early career researchers who recently published in Geoenergy’s thematic collection The sustainable future of geoenergy in the hands of early career researchers. Each one-hour session (with brief audience Q&A) focuses one or two papers on a wide range of topics spanning the energy transition.

This webinar:

From outcrop observations to dynamic simulations: an efficient workflow for generating ensembles of geologically plausible fracture networks and assessing their impact on flow and transport

This talk is about developing a new method to generate realistic fracture networks and simulate how they affect fluid and heat flow underground, helping to better understand uncertainty in applications like geothermal energy and CO₂ storage.

The published paper can be found at the Lyell Collection website.

This webinar will take place virtually, via Zoom

12:00 - 12:05 Introductions

12:05 - 12:35 Speaker

12:35 - 12:45 Q&A

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Chair - Pierre-Olivier Bruna, TU Delft

I am a geologist specialized in field structural geology (principally on carbonate rocks) and in 3D modelling / geostatistics. I obtained my PhD in geology in 2013 in Aix-Marseille University (France). Since 2013, he was recruited by the Northern Territory Geological Survey to investigate the potential of the greater McArthur Basin to host unconventional hydrocarbon resources. In late 2016, I joined the Geoscience and Engineering department of TU Delft to work with fracture network in carbonate reservoirs. My project attached to characterise fracture in outcrops and to use these data to predict the fracture network geometry and its efficiency in subsurface

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Elahe (Ellie) Kamel Targhi, Delft University of Technology

I am a reservoir engineer and AI researcher working at the intersection of subsurface reservoir characterisation, machine learning, and geothermal energy. Currently pursuing my PhD at TU Delft, my research focuses on applying unsupervised and supervised learning on pressure transient responses obtained from well tests to characterise fracture network properties and predict geothermal performance in naturally fractured geothermal reservoirs. The ultimate goal of my PhD project is to support early-stage decision making and de-risking in geothermal project development

This webinar is free to attend. You can register by clicking the 'Book Now' button on the webpage.