Modeling and Inversion Concepts for multi-method Geophysics

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

• Remembering: Know and name key concepts and terminology related to modeling and inversion concepts for coupling geophysical methods.
• Understanding: Understand the fundamental principles of coupled modeling and inversion workflows.
• Applying: Apply coupled methods to solve geoscientific challenges using multiple geophysical methods.
• Analyzing: Analyze the performance of coupled inverse methods in practice.
• Evaluating: Evaluate the advantages, limitations, and pitfalls of coupled inverse algorithms.

Prerequisites

Prerequisites for this course include basic knowledge in mathematics (e.g., analysis and linear algebra), physics, basic programming skills (preferably in Python) and inverse theory (e.g. Inverse Methods for Geoscientists).

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