Stable Iterative Methods for Inversion of Magnetotelluric and Transient Electromagnetic Data

The joint inversion of geophysical data can reduce the ambiguity of model parameters. Joint Inversion of Magnetotelluric (MT) and Transient Electromagnetic (TEM) data was performed to get detailed information of subsurface structure. Whereas TEM data is sensitive to describe in the shallow structure, while the deeper structure is related to MT data. We derived the joint inversion scheme from the second order of Marquardt algorithm using singular value decomposition (SVD). The detailed analyses of the model parameters are performed by damping factors, V-matrix, damped error bounds and importances value. The joint models parameters with damping factor and importances value above 0.9 indicate that the associated eigen parameters are well-resolved.