The accuracy of geoelectric parameters distribution reconstruction and, therefore, of subsequent saturation estimation, can deteriorate due to influence of such geologic factors as carbonatization, clay content, and thin bedding. Thus, the higher the accuracy of electrical logging data interpretation, the better the reliability of saturation evaluation. In this work, to reconstruct spatial resistivity distribution in detail, we achieve the reliability improvement by means of the complex of induction and galvanic borehole sounding techniques, as well as by employing inversion procedure based on multidimensional numerical simulation. We have shown that by applying 2D inversion of high-frequency electromagnetic logging and Russian lateral logging data, parameters of the top and bottom parts of a reservoir, as well as its thin intervals, are refined. Interpretation is conducted in two stages. At the first stage of 1D inversion, the resistivities of the invaded zones and formation are determined, with the resulting model being used as an input for the following stage. Then, the resistivities are specified when fitting a 2D model, along with precising the locations of boundaries. The inversion software is based on the parallel versions of algorithms of solving forward logging problems for high-performance computations on Graphical Processing Units.