Based on previously presented Russian electric logging measurements inversion system AlondraWL, we developed software prototype for estimating one- and two-dimensional inversion results uncertainties suitable for galvanic and induction sounding measurements. The algorithm is based on solving a statistically significant number of inverse problems from various initial models in the automatic mode. The software was tested on synthetic and practical high-frequency electromagnetic and galvanic practical logs. The test results show a significant advantage of the developed algorithm over the approach based on the analysis of sensitivity functions.

On the example of the Priobskoye oil field of the West Siberian oil and gas province, we show the relevance of studying thin-layered oil-saturated reservoirs, as well as consider the corresponding world experience. The operating principle of a probe system with toroidal sources and receivers is described, after which we perform 2D finite-difference simulation and analysis of its signals in typical geoelectric reservoir models. The dependence of the signals on the resistivity anisotropy coefficient is demonstrated. In realistic geoelectric sections of the Priobskoye field, obtained by numerical inversion of BKZ field data, 2D finite-difference simulation for the system with toroids is conducted. It implies the fundamental possibility of investigating thin-layered electrically anisotropic deposits of the Priobskoye field by means of the system with toroidal sources and receivers.

In this paper, we consider approaches to automating several stages of processing engineering seismic data: summing seismograms of different accumulations, picking the first arrival times, minimizing the residuals of mutual times for the hodograph system. The proposed methods are based on the comparison of waveforms of several traces using the cross-correlation function. The methods were tested on synthetic data to evaluate the optimal parameters of the procedures. Real data testing shows that the developed algorithms yield the results equal to manual processing.

The paper presents an educational version of the tomography algorithm BASIC TOMO, which is aimed at demonstration of the role of different controlling parameters in inversion. The algorithm uses a simplified approximation of rays with straight lines and a model parameterization with the use of rectangular cells. The tomography procedure is reduced to solving a system of linear equations, which is performed using the LSQR method. This study presents several exercises showing the role of different factors in inversion, such as grid spacing, smoothing, ray configuration, and noise in the data. The calculations are performed for different types of synthetic models. All the results can be easily reproduced using the appended version of the BASIC TOMO code.