Inversion concepts for multi-method geophysics

• M.Sc. Applied Geophysics
• Prof. Dr. Florian M. Wagner

Course content

Geophysical imaging of the subsurface is ultimately limited by the physical limitations (penetration depth, spatial resolution, etc.) of the physical method used. A partial remedy to the problem is the combination of different geophysical methods with complementary sensitivities and resolution properties as well as linking information from geological or process models in the imaging process. In this course, practical concepts to integrate different measurement methods in multi-method imaging and monitoring endeavors will be discussed and accompanied with practical Python exercises.

Learning goals

Upon successful completion of the course, the students will be able to integrate different geophysical techniques in multi-method imaging frameworks. They understand the benefits, limitations and common pitfalls in integrating different sources of information in the quest to find a common subsurface model.

Prerequisites

Prerequisites for this course include basic knowledge in mathematics (e.g., analysis and linear algebra), applied geophysical methods, inverse theory and programming skills (preferably in Python).

Literature recommendations

• Moorkamp, M. (2016): Integrated imaging of the earth: Theory and applications (P. G. Lelievre, N. Linde, & A. Khan, Eds.). John Wiley & Sons.
• Wagner, F. M., Uhlemann, S. (2021): An overview of multimethod imaging approaches in environmental geophysics. Advances in Geophysics, 62, 1-72. https://doi.org/10.31223/X5HP67