Adaptive parameterization of electric conductivity in inversion of electromagnetic data, 2012
Advisors: Inga Berre, Martha Økland Lien
Short description of project:
Describing a methodology developed for 3-D parameter identification, with focus on large-scale applications. It is designed to handle challenges related to low parameter sensitivity, no uniqueness of the inverse solutions and costly numerical calculations. A reduced, composite parameter representation is chosen to meet these challenges. Our contributions to the methodology involves choosing a reduced representation with radial basis functions, to maintain a low number of parameters. We also propose the use of a 1. order selection measure in the refinement process.
Link to thesis at BORA-UiB: Link