Аннотация:Abstract—Earlier, it was shown that conventional algorithms for solving the inverse VES problem cannotachieve the accuracy required for precision monitoring of a geoelectric section, and regularized algorithmswere proposed to improve the accuracy and stability of solving the inverse VES problem. In this paper, we testthe resistivity contrast stabilization algorithm on synthetic data. For modeling, a geoelectric section is used,similar to the section of the Garm test site both in the set of layers and their resistivities, and in the characteristics of seasonal variations, as well as noise. It is shown that regularization of the inverse problem greatlyreduces errors. The most significant effect is achieved by suppressing the buildup of resistivity. Estimates areobtained for the accuracy in solving the inverse problem, which can be achieved when working with experimental data.
