This article discusses the influence of various factors and reveals some dependencies in the separation of water-oil emulsions. It has been found that the efficiency of water-in-oil emulsion separation increases with the increasing of temperature and chloric salts content. Near to neutral pH medium has an impact on the separation of emulsions. High water cut of crude oil has a beneficial effect on destabilizing and separation of emulsified water, whereas the presence of asphaltene makes the crude oil separation difficult significantly. The solvent included in the demulsifier plays a large role in emulsion destabilization and it is selected individually.

Magnetic surveying is a geophysical methodfor solving geological problems, based on the study ofthe Earth’s magnetic field, the Earth, as a cosmic body of a certain internal structure generates a constant magnetic field, called normal or primary. In this research, the mathematical interpretation of magnetic surveying data considered through digitization of maps, creation of new maps of magnetic anomalies, plan curvature map, first and second derivative maps, application of various filters, overlapping maps with the isolated structural elements, and all these information received geological justification. Also, the paper completely describes the relatively simple sequence of application of all methods used in the mathematical interpretation of magnetic surveying data, based on the results of the work performed, the prospects of this method were analyzed, the method is very efficient, and requires absolutely no investments.

The article provides information about the possibility of obtaining complex mixed fertilizers, characterized by a high concentration of nutrients and trace elements that have high absorbing properties. To improve the properties of complex mixed mineralfertilizers, we propose the use of used molybdenum-containing catalysts as trace elements. As a result of physicochemical studies, the element-by-element composition and microstructure of the spent molybdenum-containing catalysts used in oil refining were determined. The microstructure corresponds to the element-by-element composition of the spent catalyst and, with an increase of 1000 times, crystals are pronounced, characterizing the bulk of the aluminate composition in the form of granular minerals, irregular hexagons, and worm-like inclusions of aluminum oxide and alumina. Molybdenum fills the interdimensional structure in the form of light, rounded crystals. Analysis of the primary information of thermodynamic studies of the CоO-NiO-MoO₃-CaCl₂-H₂O system showed the possibility of the formation of the following elements and compounds: O, O₂, H, H₂, OH, H₂O,Cl, Cl₂,HCl, HOCl, CoO₂H₂,CoCl, CoCl₂, Co₂Cl₄, Ni, NiO₂H₂,NiCl, NiCl₂, MoO₃, Mo₂O₆, MoO₄H₂, MoO₂Cl, Mo₅O₁₅,MoO2 MoOCl₂, MoO₂Cl₂, MoOCl₃, CaCl₂, CaOHCl, Ca(OH)₂. The results of thermodynamic modeling of the working system, characteristic of the chlorinating roasting of spent molybdenum-containing catalysts, showed the possibility of separating molybdenum, cobalt and nickel in the form of their chlorides in the range of 1300-1500K.It should be noted that with a decrease in pressure from 0.1 to 0.01 MPa, the metal sublimation becomes more efficient and reaches the formation of gaseous NiCl₂ to 19.45%, СоСl₂ g to 21.7%, MoO₂Cl₂ to 58.13%.Moreover, the selective separation of nickel and cobalt is possible at 1500 K and a pressure of 0.01 MPa.

In this article is driven technology of receipt chelate microfertilizer on the basis of humic acid, brown coal got at decomposition from Lenger field. Also described chemical composition of cottrel dust, brown coal and humic acid certain with using SEM, Differentially-thermal analysis (DTA), spectra of scanning electron microscopy. For enriching microelements in mixture got add boric acid, sulfates of copper, iron, manganese and ammonium molybdate, and as а achelate appears, trialkilamin (ТАА). The got microfertilizers are characterized by high maintenance of humic substances, that participate in gelation of soil, accumulation of nourishing elements and microelements in an accessible for plants form, promote to regulate maintenances of metals in water and soil ecosystems.

This article analyzes  the hydrometeorogical condition of  the Nur-Sultan (Astana) city.  The data of daily precipitation of Astana in  the period 1936-2015 were processed.  When processing data, an open-source computer program R was used.  The results will be useful for designers and researchers. The data of  long-term measurements are fully described using the HydroTSM calculation package.

Galvanic sludge generated during wastewater treatment of electroplating industry, are industrial waste, which are the main sources of heavy metals in the environment. The composition of galvanic sludge is not constant and depends on the composition of the treated wastewater. The object of the study was slimes of galvanic production ofLPC-3 “ArcelorMittal Temirtau”. The results of X-ray analysis of galvanic sludge are characterized by the predominance of the main phases of chromium compounds with iron and impurity com­ponents, in particular zinc with a sulfate component. The overall mineralogical structure of chrome-containing galvanic slimes is characterized by the predominance of a dark mass-like structure of chromite and chrompicotite minerals. Observed minerals zinc structure, as well as the inclusion of chromic. The results of thermody­ namic modeling of the working system showed that in the low-temperature region, the maximum formation of NiCl₂ is up to 99.5 % at T = 500 K. As the temperature rises from 1000 to 1500 K, a noticeable redistribution of oxygen and chlorine is observed, which is characterized by the formation maximum of NiO-78.3% and HCl -76.3 % at T = 1200 K and p = 0.01 MPa. Analysis of the equilibrium distribution of chromium at pressures of p = 0.01 and 0.101 MPa is characterized by insignificant changes in the degree of chlorination with the formation of CrOCl₂, CrCl₂,

The paper analyzes the literature of modern methods for producing nanosuspensions and the orderly growth of nanofilms. A new method for the controlled synthesis of a high-quality nanostructured two­ dimensional atomic crystal of bismuth selenide is discussed. Using the “gas-solid” growth mechanism, the influence of such factors as temperature, gas supply rate on the controlled growth of a nanostructured two-dimensional atomic crystal of bismuth selenide 8 pm in length and 5 nm thick on mica having a lattice similar to copper taken as a matrix was investigated. It is shown that the optimal conditions for conducting controlled synthesis of high-quality bismuth selenide are 4900, time 40 minutes, gas flow rate within 30 cm³/s ÷ 80 cm³/s. The structural characteristics of the obtained samples of bismuth selenide were studied by modern methods of atomic force microscopy (Bruker Atomic Force Microscope, AFM, USA), scanning electron microscopy (SEM, Hitachi S-4800, Japan), optical microscopy (Olimpus, DX-51, Japan), Raman spectroscopy (HORIBA LabRAM HR 800, USA), UV-VIS, transmission electron microscopy (TEM). The forms and properties of the synthesized samples of nanostructured atomic crystals of bismuth selenide are

Sorbent was obtained on the basis of a natural zeolite of the Shankanay local place (Almaty region), modified with polyethylene glycol to extract Pb²⁺ and Cd²⁺ ions from aqueous solutions. Optimal conditions for the preparation of the sorbent and the sorption process were determined. The maximum degrees of extraction of cadmium and lead ions were (87 ±  8.04) % and (97 ±  9.24) %, respectively. The textural characteristics of the source material and the resulting sorbent were also investigated by the SEM method, the specific surface areas were determined by the BET method, the adsorption isotherms were constructed according to the Lang­ muir and Freundlich models and the corresponding constants were calculated (Langmuir constant, Freundlich constant, limiting adsorption) and the kinetic characteristics were determined (the maximum temperature) rate constant, process activation energy).

In this work, the atomic substitution method was used to synthesize a single-crystal silicon carbide film containing crystalline ß-SiC and 2H-SiC phases in the surface region of a Si (100) wafer. The films were synthesized in a special laboratory electric furnace at a temperature of 1250°C for 20 minutes in a flowing CO gas at a pressure of 0.8 Pa. Using the methods of high-sensitivity X-ray diffraction and infrared spectroscopy, the presence of SiC nanocrystals with a high degree of structural perfection has been shown. These nanocrystals can be located both at the interface “SiCfilm - Si substrate” and inside the silicon substrate, covering the inner pore surface. It was shown that about 80 % of Si - C bonds are contained in the crystalline phase of silicon carbide, including the single crystal layer, nanocrystals, and their nuclei. The amorphous phase of silicon carbide (9.3%) in the film is a mixture of highly defective deformed nanocrystals. The maxima of the components at 785.5 cm^-1 and 788.0 cm^-1 of the amorphous phase are shifted close to 795.9 cm-1, which is characteristic of the crystalline в-SiC (ЗС-SiC) phase. This is due to the increased synthesis temperature (1250 °C) of silicon carbide film. Also, part of the Si-C bonds (10.4 %) are included in the composition of SiC clusters and dilatation dipoles.

In this work, a thick silicon carbide films were synthesized on the c-Si surface by simultaneous mag­netron sputtering of a silicon target and a graphite target in the high-frequency mode of 13.56 MHz. The mag­netron sputtering parameters were as follows: magnetron power - 150 W, argon gas flow rate 2.4 l/h, chamber pressure 0.4 Pa, silicon substrate temperature - 100 °C, deposition time 3 hours. The domination of shortened Si-C-bonds in an amorphous silicon carbide film immediately after deposition was shown for the first time, which led to a shift in the maximum of the IR spectrum to a region above 800 cm^-1 - up to 870 cm^-1. The results are interpreted by intensive nucleation during the deposition process. It was shown that after film deposition, almost half (49.2%) of Si-C bonds are contained in very small nuclei of nanocrystals with sizes less than 3 nm. Rapid annealing for 5 minutes was carried out at a temperature of970°C, which was reached within 10 s. A shift of the maximum of the SiC peak of the IR spectrum from the short-wavelength region (870 cm^-1) to the long-wavelength region (820 cm^-1) of the IR spectrum was observed after rapid annealing of the film. It was revealed that the crystallization of a thick film of silicon carbide does not occur due to crystallization of the amorphous phase, but due to an increase in the size and ordering of the structure of small SiC nuclei and their
transformation into SiC nanocrystals.

The article presents experimental results on determining the influence of unsteady energy effects on the transport of electric current through melts of metallurgical slag (electrolytes according to modern con­cepts). It is shown that the transport properties of the melts depend not only on the chemical composition and temperature, but also on the structural features of the liquid. It is concluded that the anomalies in the electrical conductivity of the melts can only be explained by the influence of orientation effects in the supramolecular (molecular) elements of the structure of the melts and by physicochemical interactions in the melts when the temperature changes (molecular motion, intermolecular chemical reactions, etc.). The conclusion is drawn about the electronic type of conductivity of metallurgical slag melts and the absence of spontaneous electrolytic dissociation (during melting and dissolution) during a first-order phase transition.

In this work, the compounds К₂СаР₂О₇ and КСаР₃О₉ were obtained. Experimental verification of the obtained relations has been carried out and the thermodynamic probability of formation of double pyro- and metaphosphates from compounds, which are components of the K₂О, КРО₃, СаО, Р₂О₅ furnace gas, has been shown.

A huge repository of petabytes of data is generated each day from modern information systems and digital technologies such as scientific data analysis, social media data mining, recommendation systems, and analysis on web service logs.The data has a huge power to directly guide us to knowledge detection. Big data in turn requires whole new approach and tools to handle it. Analysing these massive data requires a lot of efforts to extract knowledge for decision making. Huge volumes of data and its unstructured nature raise new challenges and issues regarding its management and processing. This paper covers some of the most popular tools for analyzing big data. Hadoop, Spark and Pig are major and modern tools in big data analytics. Thus and so these tools were chosen for comparison. Results of this research show that various tasks require different tools and there is no all-in-one solution. Any big data problems stand in need developers to use proper tool to make job done in a way better and quicker.

The aim of the work is to increase the power of the chi-square criterion on small samples. The relevance is due to the fact that data from biometrics and other a number of other practical applications for classical statistical analysis is not enough. It is proposed to use simulation tools and numerically obtain the distribution density of the chi-square test for small samples. When synchronizing histogram intervals with the expectation of a sample, the spectrum of chi-square states becomes discrete. In calculations, it is possible to maintain the effect of quantum superposition of the analyzed data, using ordinary computers. In contrast to the continual-quantum Schrodinger equations, the continual-quantum Pearson equations turned out to be much more convenient for the implementation of the continuum-quantum superposition by the program methods. It has been suggested that it is possible to create an amplifier chi-square criterion, which allows to increase its power several times. Given the number of intermediate data of such a continually quantum calculator for a sample of 16 examples.

Semantic role labeling (SLR) extracts a superficial representation of meanings and their relationships from various texts, the semantic layer is important for understanding natural language. Few studies in the labeling of semantic roles have been conducted in the field of medicine, mainly due to the lack of annotated clinical buildings, especially in Russian. The aim of this work is to develop a framework for marking semantic roles for clinical notes using the corps created by practicing clinicians to increase productivity and save costs, as well as improve the quality of predictive medicine. Materials and methods: an anonymous database, collected on the basis of clinical practice, in particular, diseases of the gastrointestinal tract, cardiovascular system and others, was used as a data set of the target domain. Records were manually analyzed and tagged. The framework of semantic markup is presented and the analysis of the applicability of semantic roles and their relationships with respect to real clinical cases is given.

The security of information is one of the most important aspects in communications, which always demands to improve the existing cryptosystems, and design new ones with high security and performance in real-time applications due to enhancing the danger of hacking efforts. Since MDS matrix a are formal models of computing devices, cryptosystems based on them can be efficiently implemented at software and hardware levels. Today, MDS matrices occupy a special place and are important components in designing the linear diffusion layers of many block ciphers and hash functions. Recently, a lot of work has been done on the construction of lightweight MDS matrices, most of which are based on special types of matrices over finite fields. This article provides an analytical overview of the use of MDS matrices for cryptographic algorithms. The use of the MDS matrix for diffusion is considered, as well as their comparison with other algorithms.

At the present time, in Nur-Sultan city is going on works by construction public transport system LRT (Light Railway Transport). LRT is an overhead road with two railway lines. The first stage of construction is including construction of overhead road (bridge) with 22,4 km length and 18 stations. The foundation of bridge is the bored piles with cross-section 1.0÷1.5 m and length 8÷55 m. Design bearing capacity of piles is 4500÷12000 kN. For boring soil using Chinese drilling rigs Zoomlion without casing. To maintain the walls of boreholes in sand and gravel soils using polymer slurry. In these conditions, very important to control integrity of concrete body of each bored piles. For checking integrity applying two methods - Low Strain Method and Cross-Hole Sonic Logging. The aim of this paper is to discuss the advantages and disadvantages of each method using the examples of a real application.

This article reveals the concept of cryptography. Describes existing methods and problems of cryptosynthesis. Cryptographic research is undoubtedly impressive and an important contribution to the future. In this paper, cryptographic algorithms are considered, i.e. building blocks used to develop systems and protocols. An analysis is made in common cryptosystems that are associated precisely with design and implementation flaws. While there is no reason to believe that this trend will change in the near future, therefore, along with theoretical research, one should not forget about improving the quality of work of engineers who design, develop and implement systems using cryptography. The various different examples show how important cryptography is today and how this science will develop in the future.

The possibility of solving environmental issues of the use of waste fuel and energy complex of Kazakhstan in the production of building materials. Comparison of aluminosilicate microspheres with the nearest analogues. The analysis of possibilities of technology of production of aluminosilicate microspheres (cenospheres) from ash and slag waste of thermal power plant in the Republic of Kazakhstan is carried out. And also shows examples of solving environmental problems, based on the experience of developed countries, through the use of waste in the production of building materials.

The article is devoted to the development of river flow modeling methods. This paper discusses possible approaches to modeling fluid flow. The analysis of recent floods and measures to protect agricultural lands from flooding based on computer simulation of the spread of flood and breakthrough waves. Preferred various examples show that the most optimal way to prevent the breakthrough of hydraulic structures is is a constant automated monitoring of water level. This information is used to predict the emergency situation in the future.

The results of in vitro cultivation and micropropagation of Malacocarpus crithmifolius - endemic species from the Mangyshlak Peninsula in Western Kazakhstan are given. Generative shoot segment with an immature inflorescence is the optimal explant for cultivation. Direct regeneration of axillary shoots from primary explant is induced on the nutrient medium supplemented by cytokinin and auxin. Multiplication with average efficiency 1 : 8 during cultivation is achieved. Rooting of shoots on the medium with indole butyric acid is received. The developed technique in vitro is recommended for the conservation and scientific and practical using genetic resources of Malacocarpus crithmifolius in the oil producing region.

Nowadays, betting has become one of the most well-known facilities in the modern world. Thus, there occurred a plenty of bookmakers which got profitable in the very short period of time. Sport prediction is very important and interesting problem for machine learning algorithms. Research explores the usage ofone of the most mind-blowing phenomenases - the multi-agent system in the study of the world of bets. Since, Reinforcement Algorithms are the irreplaceable ones in the study of gamblings, we’ll show the implementation and the meaning of the reinforcement algorithm. Study will consider the role of reinforcement algorithm used by multi-agents to determine the winners and losers. We’ll examine the efficiency of a given algorithm in the obscure surroundings. Moreover, we’ll show the process of transferring the data among agents and demonstrate its efficiency. Finally, we’ll provide cases where this solution can be useful in terms of business,

In this article the possibility of obtaining dry building mixes on the basis of shell rock and the influence of additives on the physical and mechanical properties of dry building mixes is proposed. The presuppositions of the composition formulation of dry building mixtures according to the relevant publications and scientific works in the field of research are found. It is found that changes in rheological, technological and physical mechanical properties ofsolutions based on dry Builder mixtures in the effect of composition and different dosages of additives are assumed.

The article is devoted to the development of a control algorithm for a multidimensional and multiply connected gas purification process in a distillation column based on clonal selection algorithm (CLONAG) and a genetic algorithm (GA) using the decoupling procedure. A comparative analysis and the selection of the best quality criterion for the implementation of PI control were made. The paper explains the relevance of the implementation of the developed system for the control of complex technological production in the oil and gas industry, as well as the prospect of using artificial intelligence procedures to solve optimization problems by multi-parameter processes.

Huge amounts of spatial-temporal data are generated daily from all kinds of citywide infrastructures. Understanding and predicting accurately such a large amount of data could benefit many real world applications. This paper provides an analysis of human mobility data in an urban area using the amount ofavailable bikes in the stations of the bicycle sharing program. Based on data sampled from the operator's website, it is possible to detect temporal and geographic mobility patterns within the city. These patterns are applied to predict the number ofavailable bikes for any station some hours ahead. Our methodology first identifies and quantifies the latent characteristics of different spatial environments and temporal factors through tensor factorization. Our hypothesis is that the patterns of spatial-temporal activities are highly dependent on or caused by these latent spatial-temporal features. We model this hidden dependent relationship as a Gaussian process, which can be viewed as a distribution over the possible functions to predict human mobility.

The list of questions related to the petroleum potential of sedimentary basins of South Kazakhstan and the assessment of undiscovered potential resources was considered. For calculation of undiscovered potential resources of sedimentary basins of South Kazakhstan (Shu-Sarysu, Ili, Pribalkhash) the main parameters were calculated: 1) area of sedimentary basin; 2) thickness of oil source complexes; 3) organic content of oil source complexes; 4) volume of oil source rocks. The data on the areas of sedimentary basins is taken from the results of constructing lithologic-paleogeographic and palinspastic maps, the thickness data is obtained as a result of detailed lithologic-stratigraphic studies, the data on the content of organic matter is obtained by X-ray structural and thermal analyzes of oil source rocks. The forecast of the hydrocarbon resources of oil and gas bearing basins was carried out in the following sequence: 1) qualitative assessment for the purpose to identify geological factors favorable for the formation, subsequent accumulation and conservation of hydrocarbon; 2) quantitative assessment of resources and their distribution over the area and section of the sedimentary cover. Due to the insufficient study of a geological structure and lack of data on drilling of deep wells calculations only for quantitative assessment of resources for entire amount of hydrocarbons are given in this work.With increasing of study degree the oil, gas and condensate resources will be estimated separately. The quantitative assessment of the undiscovered potential resources was carried out on the basis of presumable parameters based on general geological representations and analogy with other more studied regions.

The geophysical methods for detecting hydrocarbon deposits using new equipment and processing the data are analyzed in detail. A review of problematic issues during hydrocarbon exploration is given. Particular attention is paid to the method of conducting high-precision magnetic surveys, which allows direct searches for hydrocarbon deposits by signs of the confinement of oil and gas prospective structures to areas of calm, low-amplitude, large­ sized negative magnetic anomalies. Based on the analysis of materials of modern gravity exploration, it was found that hydrocarbon deposits in the gravitational field correspond to local negative anomalies, which are an indirect sign. They outline these deposits in plan. It is important that these anomalies above the deposits in the gravitational field do not depend on the type of traps and collectors. By the magnitude of the amplitude of local anomalies, the predicted hydrocarbon resources can be estimated. The effectiveness of modern electrical exploration during prospecting for hydrocarbons is quite high. The rationale for the possibility of applying the electric prospecting method in the search for hydrocarbon deposits is associated with two points. Firstly, with a sharp increase in the total electrical resistance of the oil and gas bearing reservoir relative to the host aquifers (oil and gas deposits have increased total electrical resistance) is a direct sign. Secondly, an indirect sign, the presence of areas with dispersed ore minerals near the surfaceabovethereservoir.

The article presents an overview of traditional and comparative analysis of modern methods and instruments for monitoring the strength of concrete. Based on the research, a prototype of the embedded sensor was developedfor monitoring the strength and monitoring the temperature and humidity of concrete during its hardening. The cost of the prototype was about 10,000 tenge. An example is given of calculating the allowable cost of a sensor for a Kazakhstani consumer equal to 15,000 tenge per share, the potential economic effect for construction sites is also calculated, and the long-term effect of big data analysis collected using the developed solution is given.

The influence of human capital is no longer sufficient for the development of education. There is a need to change the educational environment and to change methods, tools and business management, to use self-diagnosis to predict business processes and to connect “intelligent” services to the main systems of educational institutions. This paper describes a technology for monitoring research and education in the University. It is achieved by combining methods and models of knowledge management at the University, algorithm of Staking-assembling methods of intellectual analysis of educational business processes data, as well as a model of effective personnel management.