After successful completion of the course, students are able to process electrical and seismic tomographic data using to-date algorithms. Based on the analysis of synthetic models, the students will develop their skills for the planning of geophysical surveys and identify the advantages and drawbacks on the different geophysical imaging methods. The students will work with open-source libraries to permit the development of tools that they can use in their professional career.

Processing of synthetic and real data from diverse geophysical methods: Electrical Resistivity Tomography (ERT), Refraction Seismic Tomography (RST), and Induced Polarization (IP) imaging data.

• Understanding engineering problems and planning of geophysical surveys
• Numerical modeling
• Inversion
• Integration of complementary data
• Interpretation

• Presentations from the students
• Exercises with synthetic examples and real-life geophysical data
• Use of Python libraries for the processing and inversion of the data

Bring your own computer.

Die Studierenden arbeiten in kleinen Gruppen die verschiedenen Themen ab. Am Ende der LVA findet eine Präsentation der Ergebnisse statt, die durch Fragen aus dem Publikum sowie von eingeladen DoktorandInnen und Forschern ergänzt wird. Die Evaluierung basiert auf der Präsentation und der Fähigkeit die gestellten Fragen zu beantworten.