GAIA

We are happy to share with you this in-person event that we have organised in collaboration with the EAGE Local Chapter Netherlands. Here you can fine all the details for the event:

If you want to participate, follow this link.

 

The EAGE Local Chapter Netherlands is back in person! We would like to invite you to our May live event on induced seismicity:

📢 Registrations to our in-person event are now open! 🎉

📍Join us on May 17th, 2022 at 18:00pm at the Ruppert rood zaal, Marinus Ruppertgebouw, Utrecht Science Park, Leuvenlaan 21, 3584 CE Utrecht.

Agenda

18:00-18:10 – Introduction by Dr. Diego Rovetta and Florencia Balestrini, MSc.

18:10-19:00 - Technical talk by Prof. Ylona van Dinther (Utrecht University) on:

“Understanding and forecasting natural and induced seismicity by combining physics-based models and observations”

19:00-19:30 - Q&A and discussion

19:30 – Buffet dinner at the Ruppert Hal

Before her technical talk, Ylona will also talk about her experiences as a women in academia and particularly on combining a family and an academic career.

Abot Prof. Ylona van Dinther:

Prof. Ylona van Dinther is an associate professor in tectonics and earthquake physics and at Utrecht University since October 2018. Before that, she was at ETH Zurich (Switzerland) for almost 10 years as PhD student, post doc and senior scientist / lecturer, where she lead the group on earthquake physics consisting of 6 PhD students and a post doc. She pioneered the bridging of time scales from tectonic time scales (millions of years) down to earthquake time scales (milliseconds to years) in numerical models. For this, she was awarded the Jason Morgan Early Career Award from the Tectonophysics section of the American Geophysical Union and the Royal Netherlands Academy of Arts and Sciences (KNAW) Early Career Award.

Her research interests span the fields of tectonics; seismology; tectonophysics; earthquake, fault and rock mechanics; mantle dynamics; and structural geology. Her research principally aims at better understanding the tectonic and rheological controls governing the spatiotemporal occurrence of fault slip, ranging from earthquakes to slow slip and continuous creep.

To explore the opportunities and limitations for earthquake hazard assessment and combine physics-based models with observations, she also works on applying ensemble data assimilation, a statistical method adopted from weather forecasting. She uses this to estimate and forecast the state of stress and slip on the fault. Following a successful synthetic proof of concept, her team is currently exploring these methods on laboratory experiments in the context of DeepNL.