MICHAEL JORGENSEN

My research centers on advanced inversion of magnetic and multiphysics geophysical data, with emphasis on recovering remanent magnetization and susceptibility models corrected for remanence effects. I develop large-scale 3D inversion methods for potential-field data sets with millions of data points and model parameters, leveraging GPU acceleration, moving-footprint approaches, and massively parallel computation. A key focus is deterministic joint inversion of magnetic, gravity, and electromagnetic data using Gramian-based coupling and joint focusing constraints to reduce non-uniqueness. Applications target mineral exploration problems—particularly gold, lithium, and uranium—where magnetite destruction, alteration, and basement structure are expressed through complex induced and remanent magnetization signatures, as well as geothermal systems including Yellowstone.