Spectral element modelling of magnetic data, applied to imaging geothermal systems in volcanic domains

Project description

The aim of this project is to develop a code for modeling and joint 3D inversion of magnetic, gravimetric and electrical data, suitable for imaging geothermal reservoirs in volcanic environments. In this context, topography has a significant effect on measurements, and must therefore be taken into account in a precise way without increasing the associated computational costs too significantly. To this end, we propose to adapt the SEM46 code developed at SEISCOPE for potential field methods. This code is based on a spectral element formulation with regular hexahedral meshes deformed to represent complex topographies, enabling fine reproduction of the topography without requiring a reduction in cell size. The present request concerns the funding of 1) an M2 internship during which the student will adapt the SEM64 code for direct modeling of magnetic data, and then apply this code to the Krafla site where a drone magnetic survey has recently been collected, and 2) a field campaign at Krafla to complete this magnetic survey, for which we are receiving co-funding from Iceland’s national energy company.