Two-Dimensional Inversion of Magnetotelluric Data by Sequential Use of Smoothing Regularized Inversion and Quasi-Newton Inversion

Abstract

Magnetotelluric (MT) method is one of the electromagnetic method with which the very deep underground structure can be investigated. Nowadays, MT data mostly collected each station along a profile and this data set interpreted by the help of two-dimensional inversion algorithm. In this study, to invert MT data sequentially, we suggested to use smoothing regularized inversion and Quasi-Newton inversion algorithm that is called hybrid solution. We compared smoothing regularized inversion, Quasi-Newton and hybrid inversion results for both synthetic data and real data collected for oil exploration in east part of Turkey.