The widespread use of biometric systems entails increased interest from cybercriminals aimed at developing attacks to crack them. Thus, the development of biometric identification systems must be carried out taking into account protection against these attacks. The development of new methods and algorithms for identification based on the presentation of randomly generated key features from the biometric base of user standards will help to minimize the disadvantages of the above methods of biometric identification of users. We present an implementation of a security system based on voice identification as an access control key and a verification algorithm developed using MATLAB function blocks that can authenticate a person's identity by his or her voice. Our research has shown an accuracy of 90 % for this user identification system for individual voice characteristics. It has been experimentally proven that traditional MFCCs using DNN and i and x-vector classifiers can achieve good results. The paper considers and analyzes the most well-known approaches from the literature to the problem of user identification by voice: dynamic programming methods, vector quantization, mixtures of Gaussian processes, hidden Markov model. The developed software package for biometric identification of users by voice and the method of forming the user's voice standards implemented in the complex allows reducing the number of errors in identifying users of information systems by voice by an average of 1.5 times. Our proposed system better defines voice recognition in terms of accuracy, security and complexity. The application of the results obtained will improve the security of the identification process in information systems from various attacks.

The paper discusses various ways of activating phosphorus slags by introducing additives for the development of phosphorus slag binders (PSB), replacing cement. Considering that pseudowollastonite is the main mineral of phosphorus slags and without activating components does not possess the binding properties necessary for the production of building materials based on them, we used compositions of small amounts of sodium hydroxide with alkali metal salts, the anions of which form poorly soluble compounds with calcium. When choosing activating components, scarce alkaline additives were replaced by waste from chemical plants, which allows a passing solution of their practical use and environmental problems. The strength at a sodium hydroxide content of 1–4 % after curing of slag samples of various batches was in the range of 50.0–70.0 MPa. Samples of binders of normal hardening at the age of 28 days with a sodium hydroxide content of 0.5; 1.0, 2 and 4 % had the strength of 20.3; 35.4; 45.6; 55.8 MPa, respectively. The effect of the combined presence of alkali and salt is especially noticeable for small amounts of sodium hydroxide. Binders containing a composition of cement with salts under normal conditions and after curing showed a slightly lower strength than in an alkaline medium. With a constant cement content (4 %), the strength indicators increase with an increase in the proportion of the salt additive, reaching at 4 % its maximum value. The effect of the nature of activators on pH was determined. The data obtained indicate the advantages of using PSB and various industrial wastes with a low content of alkaline compounds in the production

This scientific study presents a comprehensive assessment of the Priirtysh sedimentary basin, focusing on identifying potential reservoirs for carbon dioxide (CO₂) storage. The methodology includes 2D seismic data interpretation, well log analysis, and the construction of a 3D geological model using Petrel software. Seismic surveys conducted between 1992 and 1997, along with data from more than 4,000 hydrogeological wells, were utilized to develop a structural and lithological model of the basin. Kazakhstan currently lacks dedicated infrastructure for CO₂ capture and storage. Notably, potential CO₂ storage formations in the Pavlodar region, which accounts for the highest greenhouse gas emissions in the country, have yet to be systematically evaluated. Thus, investigating the CO₂ storage potential of regional aquifers is of both scientific and strategic importance. By combining geophysical (seismic interpretation) and petrophysical (porosity, permeability, and reservoir quality) analyses with 3D geological modeling, this study offers new insights into the subsurface architecture of the basin. The integration of seismic and well log data significantly enhances the model’s accuracy and enables the identification of structural complexities. Key findings indicate the presence of several promising aquifers at depths between 500 and 2,000 m, particularly within the Upper Jurassic–Cenozoic formations. The study estimates the CO₂ storage capacity of these aquifers and assesses their suitability for long-term containment, laying the groundwork for future hydrodynamic simulations and injection feasibility studies. Ultimately, the identification of viable storage formations in the Pavlodar region aligns with Kazakhstan’s strategic goal of achieving carbon neutrality by 2060.

At present, the impact of the decarbonization trend on the oil and gas industry is becoming more and more tangible. One of the promising approaches to carbon dioxide utilization is the technology of its injection into the productive formation for enhanced oil recovery. The projects realized in the world have shown the efficiency of liquefied carbon dioxide application as a solvent for wells, which leads to increase of hydrocarbon flow rate due to various mechanisms. CO2 injection has been proven to reduce the interfacial tension at the hydrocarbon-water interface and improve water wettability of the rock, converting it from a film state to a droplet state. However, when implementing this approach, it is worth paying attention to the study of formation parameters such as saturation and capillary forces. In this paper, the capillarometry principle is considered to calculate the water saturation parameter of a complex reservoir type with low filtration properties. The study is to evaluate an effective approach to study the estimated residual water saturation under complex pore space geometry and possible pore hydrophilicity disturbance. The practical interest of this work is to increase the study of reservoir properties at the pore level for prediction of its physical and chemical properties in the modeling of composite dynamic model for solving topical issues in reservoir development.