Beschreibung
Deep scientific drilling into a continental intraplate volcanic field is a challenging task, because it is difficult to exactly forecast a promising landing position. This problem is due to the complicated 3-D structure of volcanic and magmatic structures which blur geophysical imaging. Here we want to use and extend a unique seismological dataset spanning over 11-years of continuous high-resolution monitoring to resolve the pathways of fluids underneath the East Eifel Volcanic Field. Previous work revealed an active magmatic system underneath the East Eifel Volcanic Field including ongoing fluid and volatile emissions as well as magmatic seismicity reaching down to the lithosphere-asthenosphere boundary. Using state-of-the-art machine learning techniques to analyse the seismological data our goal is to locate the pathways. Furthermore, we want estimate the involved volume flux rates (magma, fluids, volatiles) based on mechanical modelling. The results should contribute to determine the best targets for drilling within the International Continental Scientific Drilling Program (ICDP).