Hagen Söding

Studied applied mathematics and worked as research assistant at the Cluster of Excellence “Data-Integrated Simulation Science”. After one year of working in the field of “mathematical systems theory”, now decided to work in a more applied field of research.

MSc Mathematics, University of Hamburg (2017-2019)

BSc Technomathematik (Applied Mathematics), Technical University Hamburg-Harburg (2013- 2016)

Project Title: Novel geophysical monitoring options of CO2 injections
Host Institutions: ETH Zürich, RWTH Aachen, TU Delft, Nagra
Supervisory Team: Hansruedi Maurer, Florian Wagner, Evert Slob, Edgar Manukyan
Start date: 1.6.2021

ESR Objectives:

Knowledge of the actual state of a geothermal reservoir is of vital importance for its safety and efficiency. Traditional borehole monitoring systems have limited spatial resolution. Geophysical techniques allow characterising and monitoring of the physical subsurface properties at larger distances away from boreholes.

We propose to develop novel imaging and monitoring techniques. We will focus on wave-based methods, but we will consider potential and diffusive field techniques. We will focus on monitoring of CO2 plumes originating from injections in Enhanced Geothermal Systems. We will study possibilities and limitations with numerical simulations and will validate our findings with suitable field tests in the Bedretto Underground Laboratory.

This project and the ESR04 project will benefit greatly from cross-fertilization of each other’s findings.

Research Update

In the initial phase of Project No. 6, we collected seismic and ground penetrating radar data from the Bedretto Underground Geoscience and Geoenergy Laboratory. In a second step we prepared the data for the application of novel methods that will be developed during this project. A subsequent literature review revealed a wide range of techniques used in joint-inversion approaches that we were not previously aware of in this scope. After analyzing the strengths and weaknesses of existing approaches, we have established a solid knowledge base for improving existing and developing novel high-resolution monitoring techniques that are based on data from two wavefield methods.

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