A digital geoelectric model of the Karaton–Sarkamys block located in the southern (Kazakhstan) part of the Caspian Depression has been developed on the basis of processing and interpretation of magnetotelluric sounding data. Geoelectric sections and structural maps of geoelectric layers have been constructed. It has been shown that magnetotelluric sounding combined with seismic and GIS data can be efficiently used to obtain additional information on the lithologic and reservoir properties of petroleum playsA digital geoelectric model of the Karaton–Sarkamys block located in the southern (Kazakhstan) part of the Caspian Depression has been developed on the basis of processing and interpretation of magnetotelluric sounding data. Geoelectric sections and structural maps of geoelectric layers have been constructed. It has been shown that magnetotelluric sounding combined with seismic and GIS data can be efficiently used to obtain additional information on the lithologic and reservoir properties of petroleum plays

The solution of the gravity direct problems performs a crucial impact on the results of investigation of the gravity anomalies in oil and gas fields. The direct problem of gravimetry itself means that we have to determine the analytical characteristics of the gravitational field from a set of specified parameters of the geological medium (such as an average depth, an excess density, coordinates of anomaly sources, and other medium parameters). Evaluation of the distribution of similar parameters of anomalous bodies is extremely important for geodynamic monitoring of deposits. Within the framework of stochastic optimization techniques, a simulated annealing approach can be used to estimate the above-mentioned parameters distribution. This paper describes the implementation of the simulated annealing technique to solve a series of gravity direct problems based on gravity monitoring data. This method allows us to select the values simultaneously according to two parameters of the medium studied. The proposed method is developed as one of the subsystems of a special GIS for storing, processing, analysing, and visualizing of gravity monitoring data over the oil and gas field. The operation of the algorithm is characterized and the simulation results are given. For calculations a sequence of homogeneous spherical bodies was chosen, and their initial calculation parameters and the criterion to derive the optimal solutions are indicated. The initial parameters were the centre of the sphere x, its radius R, and the initial distribution of the gravity field ∆g, and the parameters for finding the optimal values were the values of density σ and the average depth h. The obtained results of the system showed the acceptable accuracy of the algorithm for solution of the gravity direct problem by the proposed approach. The simulated annealing algorithm made it possible to increase the reliability of the model and reduce working time for the analysis of the measured gravitational field

The Bezymyannoye field is located in the eastern part of the Caspian depression, in the southwestern flank of a salt dome located on Zharkamys uplift. Prospects of oil and gas potential in this area are associated with the salt deposits of the Kenkiyak stage. The area under study can be considered one of the most perspective regions of Kazakhstan in increasing oil and gas production. Modern CDP seismic techniques provide solutions to structural and tectonic problems with high degree accuracy and reliability. However, the complexity of the geological structure and depth of surveying increases the inaccuracy of kinematic interpretation of seismic data up to a complete loss of data in target intervals, as evidenced by repeated facts of significant discrepancy between deep drilling data and seismic structures. The article highlights the most optimal choice and implementation of processing graphs based on reprocessing of 3D seismic data from a seismically and geologically complex area. Particular attention is paid to the structural interpretation, thus allowing clarifying the geological structure of Mesozoic rocks, Paleozoic productive and salt- bearing sediments in the area. The article recommended correlating productive horizons for further use in building a geological model. An additional study of the Upper-Permian structure is recommended for explorational drilling purposes.

The following article studies research on cognitive technologies and their application in the transportation of mining waste. Special attention is paid to the development and implementation of intelligent systems which are able to automate the processes of monitoring, analysis and waste recycling. There were discussed the examples of using machine learning and artificial intelligence to improve the efficiency of waste management, minimize their negative impact on the environment and improve the economic indexes of companies. Cognitive technologies allow transport companies to expand their functions in summarizing and processing huge volumes of structured and unstructured data, use machine learning tools for data analysis, execute queries and get the most accurate answers, at the same time ensuring the safety of cargo. In order to increase the effectiveness and speed of transportation, customer service at all stages and at the same time reduce the effect of the “human factor”, it is necessary to develop an offer that will be most optimal for everyone.

The purpose of the studies presented in the article is to obtain the information of the deep structures along the Shu-Sarysu geotrav-erse, to determine the regularities in the distribution of mineral deposits and predictive assessment of the research area prospects for searching for hydrocarbons and other minerals. To achieve this purpose, a complex of high-precision gravitational and magnetometric measurements was used. There was shown a high efficiency of the integrated interpretation of 3D gravimagnetic modeling when studying the geological structure of the crystalline basement (assessment of the morphology of its surface, material-petrophysical mapping of the rocks that make up the basement) and the sedimentary cover (assessment of the morphology of the reference horizons, studying their material composition); when identifying and clarifying the position of discontinuous faults, conducting lineament analysis in order to decipher the block structure of the studied areas; when building 3D volumetric models of geophysical parameters; when substantiating predictive and search geophysical criteria for detecting oil and gas geological structures, both in the thickness of sedimentary formations and in the rocks of the crystalline basement. The progress of these methods is conditioned by the widespread introduction into practice of modern computer technologies for processing and interpreting data

The article focuses on improving the efficiency of in situ uranium leaching by developing a methodology for selecting optimal parameters for chemical well treatment. The study analyzes ore and precipitate samples formed during uranium leaching, identifies their mineralogical characteristics, and evaluates the effectiveness of treatment solutions based on hydrochloric and hydrofluoric acids to improve filtration properties of the productive horizon.

В статье рассматривается аномальное геомагнитное поле Центрального Казахстана, его связь с геологическим строением, глубинными разломами, блоками осадочно-вулканогенных формаций и зонами вторичных изменений горных пород. Изучены морфология, интенсивность и размеры геомагнитных аномалий, а также их значение для геологической интерпретации и прогноза перспективных участков.

В статье рассмотрен инновационный подход к интерпретации тектонических нарушений Южно-Торгайского осадочного бассейна по данным высокоплотной сейсмической съемки МОГТ-3D. На основе обработки, интерпретации и моделирования получена объективная информация о тектонической структуре, генезисе и геодинамике объектов нефтегазопоисковых работ в Арыскумском прогибе. Результаты исследования позволили уточнить строение залежи, выявить роль сдвиговой тектоники в формировании сводовых структур, а также рассмотреть перспективы нефтегазоносности доюрских образований региона.