This article presents a brief analysis of the state of Kazakhstan's main oil pipelines, as more attention is paid to improving the level of safe operation of main oil pipelines. Causes of accidents and technical diagnostics of pipelines.

The purpose of this research was to create an effective composition of a reagent for dehydration and desalination of paraffinic oils, with the properties of inhibiting asphalt-resin-paraffin deposits (ARPD), and reducing the complex viscosity of an oil-water emulsion. We proposed displacement of surfactants of various structures together with a certain set of initial components, and the selection of reagent compositions with different properties. In the composition of the surfactant, several individual compounds are introduced in a mixture providing a synergistic effect. The proposed compositions have a set of properties resulting from their combined interaction.

As a result of this study the technical result was achieved by using a reagent composition including a nonionic demulsifier, which was oxyethylated fatty acids, sulfanol, syntanol ALM-10 and a solvent at certain ratios. Laboratory tests of the new composition, carried out for crude oils from the Aschysai field and model emulsions, showed that the composition belongs to reagents for the destruction of water-in-oil emulsions.

The scientific article offers problems of searching for new deposits, minerals and identifying their industrial significance. To perform these tasks with high quality and in a short time, appropriate technical support for geological exploration is required. Depending on the specifics of the geological problems to be solved, such technical support includes mining and drilling operations, geophysical and hydrogeological studies, logging, etc. The most widely used drilling operations are the main technical means of obtaining geological information both in terms of its volume and quality. Drilling wells in comparison with conducting mining operations has a much higher productivity, significantly lower cost and satisfactory quality of the information received.

Increasing oil recovery is one of the most pressing issues today. Since the last century, scientists have been actively researching to enhance oil recovery. A huge number of scientists have turned their attention to this issue by using low-mineralized water (LMW). Thus, since the 90s, both theoretical and experimental research has been actively studied. Increased oil recovery depends on rock wettability and surface tension. This approach was key to a significant amount of experimental work. But, despite a lot of research, scientists still have not come to a consensus on the mechanisms that contribute to increased oil recovery. One of the main mechanisms is considered to be the movement of fine particles (i.e., clay particles) during flooding with low-mineralized water (LMW). As shown by the study of the topic of LMW, experimental work was often carried out on light oil. Experimental work with light oil has been positive. However, the interaction of the LMW with high-viscosity oil has not been deeply studied, which is relevant to the fields of Kazakhstan.

This article discusses improving the quality of well cementing based on a comprehensive review of the scientific fundamentals, engineering considerations, and operational procedures associated with the processes collectively known as cementing. It was found that chemical additives and various cementing techniques can increase the quality of the cement slurry to the required depth at various temperature and pressure indicators. High compressive strength and full zonal isolation have a beneficial effect on the creation of a hydraulic seal between the casing and cement and the further operation of the well, and the wide selection of cementing techniques significantly improves the range of required qualities of cement stone. The additives included in the cement slurry also play a large role in optimizing the cementing process and are selected individually.

The article discusses the results of studying the processing of washed potash ore from the Chelkar deposit to obtain ballastless potash fertilizer. The efficiency of ore double and triple washing from sodium salts has been studied to determine the optimal mode of ore enrichment on potassium. It has been established that it is expedient to carry out ore double washing with washing water, which ensures the maximum potassium content in the ore and the minimum content of sodium salts. The washing effectiveness is confirmed by the results of the X-ray analysis of the ore after double washing. Ore calcination leads to dehydration of crystalline hydrates of minerals and to increasing content of main components in its composition. Dissolution of the calcined ore at temperatures of 50 and 90°C results in only a partial transition of potassium and magnesium salts into the solution with the complete dissolution of residual amounts of sodium salts. To reach complete dissolution of potassium and magnesium sulfates, which are the target components for obtaining mineral fertilizers, it is necessary to study methods of chemical conversion.

The paper deals with modeling the thermomechanical similarity of the shell with affine correspondence between the model and the full-scale object. The conditions for modeling thermomechanical phenomena are formulated in the form of rules for recalculating model and nature parameters. Similarity criteria are established for determining thermal stresses and displacements performed at a certain scale to a full-scale object.

In this work, a porous carbon material (PСM) was obtained on the basis of superhydrophobic soot synthesized during combustion of a propane-butane mixture and an oil sludge from the Zhanaozen field. The resulting PСM was used as a carrier catalyst for the synthesis of carbon nanotubes. Synthesized samples of multi-wall carbon nanotubes (MWCNT) were confirmed by Raman spectra and a scanning electron microscope (SEM).

In this article, new copolymers based on methyl methacrylate and butyl methacrylate were synthesized, and various ratios of methyl methacrylate monomers and copolymers to the content of floor paint were investigated. It has also been proved that obtaining improved coatings primarily depend on the properties of the materials included in their composition. The viscosity of these copolymers as well as the properties were studied by NMR spectroscopy.

One of the most important environmental problems at present is the pollution of the environment with polymer waste. This problem plays an important role not only in the life of the population of the Republic of Kazakhstan, but also in the entire ecological system of the country. The amount of polymer waste is growing every year. Polymer waste clogs our cities and contributes to multiple health problems for humans and animals. More polymer waste is sent to special landfills. At the moment, there is a significant increase in the number of landfills . This situation has developed due to the lack of sorting points in many regions of the Republic of Kazakhstan. The solution to all these problems depends not only on the government, but also on ourselves. If we use less polymer products in our daily lives, recycle them, then we will make our environment cleaner. Nowadays, there are various ways to process and dispose of polymer waste, which have their advantages and disadvantages, and are being modernized. The problem of recycling polymer waste requires new ways to recycle and reuse polymers in a closed system so that they never become waste.

The article presents an overview of the methods of processing polymer waste used at enterprises of the Republic of Kazakhstan, their advantages and disadvantages, stages of processing polymer waste, requirements for recycling plastic, plastic products. Some additional devices for recycling polymer waste are considered and proposed for use.

The article describes the process of separating iron and manganese compounds from the composition of Karatau phosphorites. Extracted iron-manganese-containing compounds from waste of Karatau phosphorites and preparation of carbon nanotubes of manganese iron composition by the "CN-CVD-100" method.

This article is devoted to the study of factors affecting the quality and yield of automotive motor gasoline at the Atyrau refinery that meets the requirements of the Euro-5 standard.

Based on the calculated data (material balance) for the units of the Atyrau refinery, which include four main processes, we obtained the following results: an increase in the productivity of the catalytic cracking unit up to 3 million tons / year (with an operating capacity of 2.4 million tons / year) contributes to an increase in the yield of gasoline by 25%; the introduction of an additional reactor for benzene hydrogenation at the light naphtha isomerization unit will reduce the benzene content in the high-octane component of motor gasoline isomerate to 1%; an increase in the productivity of the catalytic reforming unit up to 1.3 million tons / year (at an operating capacity of 1 million tons / year) will increase the reformate yield by 30% and prevent undesired processes such as the formation of coke and dry gas.

The paper considers samples of bitumen from the Aktau bitumen plant. To improve the performance properties of bitumen, the modification was carried out with an adhesive additive Stardope 150RB. The physical and chemical properties of bitumen have been studied: viscosity, density, penetration, elasticity. The improvement of these indicators after the introduction of the supplement has been proven.

Cities face a new challenge related to their populations; for the first time in history, a large part of the population now lives in a megacity. Based on the current situation, the city should implement new solutions and become a Smart city, presenting its citizens with systems that meet the requirements related to security, health, resources, government, education and other urban everyday systems. The purpose of this article is to investigate the smart city model using multi - agent systems that provide city intelligence as the basic infrastructure for determining the model that can be reproduced and exported to create a smart city.

The article highlights the existing working models of the functioning of emergency dispatch services in the world. The models for constructing the services «911» and «112» were studied, considering the legislative norms of the Republic of Kazakhstan. The basic concepts of the functioning of the services «911» and «112» are reflected. A functional analysis of emergency services «911» and «112» is considered, and the general structure of the variety of construction of the above services is also considered. A new model of creating an information system to ensure the life of the emergency call center is proposed.

Scientific work is devoted to the development and improvement of new high-speed structures with artificial roughness, connecting the upper and lower beams of hydraulic structures. The main purpose of these hydraulic structures is not to allow water to flow downstream, flowing at high speeds in mountainous areas of our southern regions and to create a safe hydraulic regime in open canals. In this case, the excess kinetic energy of the falling water from the top of the water is necessary to soak for a relatively short distance and time with the help of specially developed fast currents with artificial flow. In our research, the main attention is paid to the economy, durability and reliability, simplicity of construction, rationality and simplicity in the implementation of the form, etc. We assume that the design of the fast current with a positive solution obtained in the utility model, with account of the circumstances, corresponds to the requirements to it.

Nowadays more and more people get information from online resources such as news portals, blogs, etc. With the development of Internet technologies, the volume of published information has grown so much that it has become difficult and long to find relevant and interesting information. News aggregators are a solution that allows the user to receive only fresh and relevant news from various sources. The content aggregator platform collects information from all over the web and publishes it in one place for visitors to access. This paper presents an intelligent news aggregator system that collects the latest news from different sources using an RSS / Atom feed and displays them in one platform. The news aggregator has an intelligent module that recommends similar news based on the news saved by users. In order to recommend similar news to users, the cosine similarity method is applied to news headlines, which measures the similarity of two vectors by calculating the cosine of the angle between the two vectors. Thus, the news headlines that have the highest cosine similarity value are recommended to users. The following natural language processing technologies are applied to the news headline: tokenization, removing unnecessary characters and punctuation, converting headlines to vectors using the TF-IDF method. In this paper, similarity measurements were compared for the most popular metrics, such as cosine similarity, Euclidean distance, and Jaccard distance. Comparison results are presented for news received via RSS / Atom resource feeds from the programming and business / marketing categories.

High parallel efficiency for various large-scale tasks requires that the computational load is evenly distributed among all computational processors. This study presents a dynamic load balancing scheme that improves the performance of complex coupled simulations with non-trivial domain expansions. In addition, the high scaling experiment results show that the benefit of load balancing is proportional to the degree of parallelism.

Image processing is currently one of the fastest growing data processing industries. An algorithm for changing the tasks of digital image processing and visual image recognition is considered. One of the important tasks of digital image processing is the development of an algorithm for determining the angular points of an image, since its selection is the main stage of solving various problems. Therefore, the development of an algorithm for finding angular image points is relevant from a scientific and practical point of view. For the use of portable sections or Windows in the traditional method provided by the new mask of the distribution of angles in images.

The article is devoted to the method of developing an energy-efficient control system for a two-motor rotation mechanism OF large objects, where two asynchronous motors operate on the "master" – "slave" principle. The control unit is a synthesis of an ATMega 2560 microcontroller and a computer Simulink model of a two-motor asynchronous electric drive. The adaptability of the system is BASED ON the identification of the Electromechanical time constant of each engine, which, along with the use of precision angular displacement sensors, allows for accurate adjustment of the number of ROTATIONS of both engines.

In this paper, we propose a mathematical model for assessing mental entropy associated with power adversely affecting consciousness, the so-called mental disorder. Such a model, in this work is built on the basis of formalization of a person’s mental potential, the power of this potential and mental energy. Moreover, it is argued that it is the potential of the psyche that determines the degree of entropy, i.e. degree of mental disorder. Whenever the incoming information violates the ordering of our consciousness, endangering the existing structure of mental potential, we find ourselves in a state of internal disorder or mental entropy. Based on this definition, taking as a basis the connection between the "I-concept", fantasy Ф, and the willpower С_в characterizing the potential of the individual's psyche, an analytical formula is proposed for evaluating mental entropy. Interestingly, numerically evaluating these parameters of the individual's psyche, one can determine for them the scale of measurement, expressed by the degree of mental entropy. On the basis of the concept of power and energy of the psyche, the minimum mental energy of the person needed is estimated to minimize mental entropy. Analyzing the results of the study conducted on people who have achieved the highest results in the field of their activity, the practicality of the proposed relationships between the psychological parameters of the individual “I-concept”, fantasy Ф, and the willpower of С_в.

Effectively protecting our environment is highly dependent on the quality of the information available to guide decision making. Problems arise when the amount of information available is huge and heterogeneous (that is, it comes from many different disciplines or sources), and its quality cannot be determined in advance. Another related issue is the dynamic nature of the problem. Computers are central to today's environmental protection for tasks such as monitoring, analyzing data, exchanging data, storing and retrieving information, so it was natural to try to integrate and improve all of these tasks using knowledge-based artificial intelligence techniques.

The article discusses the issue of optimal control of a complex MIMO object based on modern methods of swarm intelligence. A distillation column for the gas purification process was chosen as a typical control object, which was implemented by intelligent control. It is proposed to use metaheuristic algorithms based on the behavior of a dragonfly and optimization of a grey wolf to solve the problem of optimal synthesis of industrial controllers. The article introduces the prospects for the implementation of the developed methods for an automatic process control system in the Experion PKS environment based on Honeywell equipment. The intelligent PI control strategy has been implemented for the C300 PLC, the control station and the operator screen has been configured for the technological process.

The methods of development software develop rapidly. The testing of software has a great role in developing a good product. Many technologies assembled into all aspects of performance, based on software testing. Many advanced automation tools use in a set of test design and validation tests based on the artificial intelligence. The important thing is to focus on changes, to work on basis of collective reasoning of the test command and other commands analogues. The methods of the quality testing are based on the information provided in the modern digital world. The business is relying on new fast processes to provide automatic testing of software. Applying approaches of solutions to financial organization allows increase the transparency of all steps of software development. These steps can help systems show more percentage of the test case rate, can save time and money, but also effectively solves the problem of scaling the process and errors.

In this paper, we research information systems for machine intelligence to automated software testing. The aim is divided to tasks: the importance of artificial intelligence, the necessary stage of Software Development - Testing and Quality Controlling System, research of main automation tools.

We concluded that use of intellectual intelligence and machine learning: allows automating the repeating process and usage of the database; delivers superb intellectual product; adapts to the progressive algorithm of learning; adds more depth analysis of multiple objects; allows retrieving the maximum amount of data from the databases.

The article presents the results of experimental studies and a mathematical description of the process of sorption treatment of wastewater from phosphorus production and oil refining from mineral impurities and petroleum products.Experimental studies of sorption treatment of waste water from petroleum products and mineral components were carried out on a laboratory installation with program control of the flow rate of the test liquid 1-4 l/min, in the temperature range of 20-700 C. To develop a mathematical model, we used graphical dependences of experimental and theoretical data that reflect deviations in the degree of recovery of hydrocarbons from wastewater during adsorption. The calculated Fisher criterion is less than the found table value, which characterizes the adequacy of the obtained dependencies.

The analysis of three-dimensional graphic data of wastewater treatment of phosphorus production from the content of impurities P₂O₅, CaO and Al₂O₃ showed that the maximum value of the degree of purification of more than 60% is achieved at a pH of 4.4-4.6.

The obtained data of experimental studies of sorption treatment of oil refining wastewater from oil product impurities are most effectively carried out at a temperature of 40 °C and the flow rate of the test liquid is 2.5-3 l/min, which provides a recovery rate of up to 99.5%.

Increased competition, as well as the instability of the global economy in the industry, is forcing construction companies to reduce costs when erecting buildings and structures, ensuring the most attractive price per square metre for consumers. To reduce costs, construction companies are using modern digital technologies in their practices. To date, the most effective and frequently used solution in global practice is the use of maturity sensors which can optimise the pouring and stripping process of reinforced concrete structures. By detecting the moment of concrete strength accurately and in good time, the construction period is reduced, labour costs are reduced and costs are saved accordingly. This paper focuses on the development of an improved IT architecture for maturity sensors. During the initial phase of development, a survey of potential users was carried out, resulting in the basic technical requirements for the sensor. In the course of development, a data exchange scheme was proposed between SSDs and PMs using Star topology, and an energy-efficient LPWAN with LoRaWAN protocol was selected as the wireless communication interface for the system fulfilling the requirements. This solved the main problem of foreign maturity sensor counterparts - simultaneous synchronisation of data from a large number of sensors. LoRaWAN also has a longer range than Bluetooth, which is used in foreign counterparts. As a result of the development of the IT-architecture, all the basic technical requirements drawn up during the survey of potential users were implemented. Since the developed IT architecture provides for the exchange and accumulation of information from multiple sensors, it is possible to create Big Data in the future.