OIL AND GAS ENGINEERING
In following paper different hydraulic flow units approaches has been researched applied to the Kazakhstan reservoir. Hydraulic Flow Units method is the petrophyiscal method to understand the reservoir by dividing it to units with the same flow characteristics. This methodology uses core data to develop an understanding of the complex variations in pore geometry within different lithofacies. Similar flow characteristics is controlled by the pore geometry of the rock. In other words Hydraulic flow unit can be described as: total reservoir rock within which geological and petrophysical properties that affect fluid flow are internallyconsistent and predictably different from properties of other rock volumes. Winland R 35 method have been applied to classify core data from different reservoirs. Turgay Basin's sandstone has evaluated comparing to limestone and shale reservoirs through RQIs and R 35 Windland plot. We can say that this reservoir very heterogeneous and is mainly in conventional and fast delivery reservoirs area. Reservoir quality index has been applied to distinguish the type of reservoir using plot of South Turgay's basin reservoir comparing to Tengiz oilfield petrophysical data and Bakken shale oil reservoir permeability and porosity data.
CHEMICAL, TECHNOLOGICAL AND ENVIRONMENTAL SCIENCES
The investigation object is sulfur-containing wastes from the oil and chemical industries and products of their processing, as well as biological preparations obtained from them. The work object is to develop methods for the recovery of sulfur waste with the production of new commercial products with biologically active, fertilizing, reclamative and other useful properties. The new technologically efficient ways of processing and selling sulfur perlite containing wastes of ТОО «СКЗ-U» LLP are proposed on the theoretical and experimental investigation base. Which are formed during the production of sulfuric acid from sulfur waste of the oil industry. The possibility of obtaining new biologically active preparations for various purposes, for example, medicaland-prophylactic means and fertilizer ameliorants was established on the basis of utilization products of sulfur-containing wastes of sulfuric acid production and sulfur wastes of the oil industry. A method is proposed for treating the sulfur perlite-containing filtration waste of sulfuric acid production with a hot water for the separation of soluble (sulfates, hydrosulfates, thiosulfates, polysulfides, hydroxides) and insoluble compounds (sulfur, perlite and others). On the basis of an aqueous extract, a new composition has been developed for the effective treatment of trichophytosis of farm animals. The field tests were carried out with the water-insoluble part of sulfur perlite- containing waste, the results of which allowed us to make a recommendation on the advisability of its use as an reclamative fertilizer for improving the physico-chemical properties of sierozems and increase crop yields.
Methods of industrial wastewater treatment have been described in this article. Also during the study sorbents for wastewater treatment were prepared. As a result of the study, optimal conditions for the modification of bentonite and Cd2+ ions were determined. Modification - increases the sorption characteristics of the source material. The kinetic characteristics of sorption isotherms and metal adsorption isotherms are calculated. In addition, the effect of the modifier concentration on the sorption properties was studied and the optimal composition of the sorbent was determined.
Loess soils are widely used in Kazakhstan and their engineering and geological surveys are devoted to numerous studies. As a consequence of this phenomenon - the development of deformations of buildings and structures due to uneven precipitation of the loess strata. The report describes the results of experimental studies conducted by the authors on the elucidation of the nature of the seismic subsidence structure of the structure of moistened loess during their shaking. Based on the reasoning of the physical processes in the loess stratum under oscillation conditions, the seismic subsidence threshold is directly dependent on the resistance to soil shear. Based on the studies performed, a formula for calculating the shear resistance (strength) of loess soil is proposed. Here the seismic subsidence deformation of the soil strata is determined. Strength, stability and durability of buildings and structures erected on such soils, largely depends on the complete exclusion of the possibility of soaking the base during operation.
The article describes the process of separation of bismuth mixtures from phosphorous raw materials. During the study, bismuth mixtures were extracted by leaching with hydrochloric acid, in addition, the effects ofvarious factors, such as the intensity of the pulp mixing, the concentration of reagents, the ratio ofsolids and liquids, temperature and process time, and the optimal conditions for the process were investigated.
In this scientific work described the extraction of rare-earth and transition elements from the Karatau phosphate ore. Zinc-containing compounds were chosen as transition elements. Further obtained zinc-containing carbon nanoparticles by the methods of «CN-CVD-100» carbon nanotube company «ULVAC JAPAN, Ltd.»
In this work, we obtained the limits of the concentration of solutions of new heteropolanyral compounds obtained in the solid phase as a result of studying the interaction of components in the aluminum sulfate copper - water sulfate system by isothermal solubility at 25 ℃. Their molecular structure and structure were investigated by IR spectroscopy, X-ray and thermogravimetric analysis.
In the present work, before metal loading, the raw diatomite was modified by thermal treatment and acid activation with hydrochloric solution, to obtain the catalyst support suitable for use in hydrogenation of vegetable oils. Changes in surface structure and morphology of diatomite samples has been characterized by scanning electron microscopy, X-ray fluorescence, and nitrogen adsorption (BET). 1.0% Pd/D-HCI-500 catalysts with 1.0wt.% Pd content supported on activated diatomite were prepared by an adsorption method, average size of palladium particles were determined by high resolution transmission electron microscopy. The activities o f the catalyst was tested for poly-a-olefins hydrogenation reaction in a batch reactor (Parr-4848) operated under 1.0 MPa pressure and at reaction temperature 900C.
PHYSICAL, MATHEMATICAL AND TECHNICAL SCIENCES
Parallel manipulators with six degrees of freedom and three limbs or tripods have a large workspase and less complex singular configurations compared to the parallel manipulators with six degrees of freedom and six limbs or hexapods. In this paper, structural synthesis and geometry of 3-PRRS and 3-PRPS tripod type parallel manipulators are considered, where P, R, S are prismatic, revolute and spherical kinematic pairs, respectively.
The article discusses the possibility of creating a humanoid robot for various purposes, with a high degree of autonomy and mobility. This humanoid robot is mobile and moves with the help of three wheels that are optimized to perform all sorts of maneuvers for a reliable configuration in operation; movements of the “body” parts are also implemented and analyzed for a large degree of imitation of human movement. Affordable affordable means are used in the design, it helps to reduce the cost of final products in order to accessibility for all sectors of society. The possibilities of creating an algorithm for maintaining a human-machine dialogue by a humanoid robot are analyzed. The humanoid robot is equipped with two cameras, many sensors, allowing to determine the current location in space, obtain spatial data in the form o f telemetry data and information about the current state of space, such as temperature, atmospheric pressure, the presence and concentration of harmful pollutants in the air, the level of illumination and etc. In front of the robot is installed Full HD touch screen with a resolution of 1920 x 1080. This humanoid robot is created to provide people with disabilities with various services at home and at work. This humanoid robot can also be used for a number of other tasks and purposes in the service sector. The basic idea is the socialization of a person with disabilities by employing a robot. Models for museums and restaurants will be developed. A person can be at home and control the robot at a great distance. To control a humanoid robot, basic control skills in computer games will suffice. The robot can work as a guide or waiter, thereby ensuring a stable income for a person with disabilities. At first, the humanoid robot will be trained by the people with disabilities to conduct excursions and, if necessary, to control other robots.
In this paper, on the basis of previously obtained constant and variable parameters characterizing the geometry of binary links and the relative motions of elements of kinematic pairs, the matrices of binary links and kinematic pairs of 3-PRRS type parallel manipulator are composed. Using these transformation matrices, the inverse kinematics problem of the considered parallel manipulator is solved.
In this paper, on the basis of previously obtained constant and variable parameters characterizing the geometry of binary links and the relative motions of elements of kinematic pairs, the matrices of binary links and kinematic pairs of 3-PRPS type parallel manipulator are composed. Using these transformation matrices, the inverse kinematics problem of the considered parallel manipulator is solved.
The aim of the work is to research the existing concepts and circuit solutions for LED drivers. Circuit solutions are tested by functional tests. So the scheme ofnew passive correctors, methods for stabilizing the LED current, etc. are tested to achieve the desired functional characteristics under various conditions of the driver. The working conditions, for example, are variable input mains voltage, ambient temperature, idle speed, short circuit condition, output load, dynamic processes, etc. Each circuit solution has its own target functional parameters, which will be paid attention to in tests. The main target displays of the current stabilization scheme are stabilization accuracy and efficiency.
In the article, it is shown that spherical nanoparticles of iron and carbon compounds - iron carbide are formed by sputtering a graphite target with a pulsed plasma flow. The obtained data allow developing a new method for the synthesis of nanocomposites with desired properties for medicine, electronics, and other fields. The method used open up the possibility of controlled synthesis of multifunctional nanocomposites by varying parameters of the plasma flow. The practical significance of research on obtaining iron carbide nanoparticles with carbon shell is relevant in connection with their use in medicine. Since the particles contain an iron core, they can be controlled by a magnetic field, and the non-toxic carbon shell makes them safe for humans.
The problem of the optimal synthesis of walking vehicle leg mechanism is considered based on planar linkage generating a family of parallel horizontal straight lines. The analytical solution is derived for least-square approximation problem that allows to reduce essentially the dimensionality of numerical optimization task. Two alternative designs have been proposed that correspond to two local minimums of the problem. The use of the proposed mechanisms can significantly simplify management and reduce energy costs.
The development of technologies and technologies has revolutionized the world of science, in particular, the emergence of only one computing technology has given new impetus to science and led to the discovery of various innovations. Nowadays, the integration of science into the world of science allows us to judge the emergence of new ideas and the optimality of the past. In this article, we first reviewed the literature for foreign publications on the topic under study and compared the Lorentz metric with Euclidean space as an example in formulas and illustrations. Using the Lorentz metric, we created a new model recognition algorithm and checked the database to verify the effectiveness of this algorithm. As a result of the experiment, the algorithm created by the Lorentz metric was compared with classical algorithms, namely Bayes algorithms, kNN and similar ones, and then presented specific results.
The possibility of solving environmental issues of the use of waste fuel and energy complex of Kazakhstan in the production of building materials. The effective compositions of cement self-levelling screeds under the floor covering with the use of microspheres of energy evils are obtained. It is shown that the introduction of microspheres causes an improvement in rheological characteristics with a reduction in the consumption of Portland cement in the composition, the possibility of using polymineral construction Sands instead of quartz, providing the required indicators ofphysical and mechanical properties.
Voice identification is the process of identifying a speaker by a given utterance by comparing voice biometrics of a utterance with those utterance models that were saved in advance. Voice identification technologies have gained a new direction due to advances in artificial intelligence and are widely used in various fields. Character extraction is one of the most important aspects of voice identification, which significantly affects the identification process and performance. This systematic review is conducted to identify, compare and analyze various approaches, methods and algorithms for extracting features for voice identification, to provide background information on character retrieval approaches for voice identification applications and future research. The study examined models: based on patterns, based on vector quantization, dynamic time transfer, histogram model, stochastic models, Gaussian mixture models and hidden Markov model, based on Mel-frequency cepstral coefficients, generative or vector quantization, discriminatory models (usually using machine learning methods such as SVM and ANN).This study showed that the current trend of identification research is to develop a robust, universal voice identification structure for solving important voice identification problems, such as adaptability, complexity, multilingual recognition, and resistance to noise. The results presented in this study are based on past publications, quotations and the number of implementations, the quotes being the most relevant. This article also presents the general process of voice identification.
This paper describes one of the areas in the field of artificial intelligence speech recognition systems. Comparing the speeches o f Kazakh and other languages, they identified the main problems of automatic recognition of this language. One of the main problems is the lack of speech data, for which work was carried out to collect acoustic data of the Kazakh language. In order to continue the research work related to the Kazakh language, the personal data of the announcers were identified. Algorithms for processing speech signals, learning acoustic and language modeling are described and research and practical work is carried out. Test results of speech recognition using deep neural networks were obtained. Comparisons with the results of traditional models and the best DNN (Deep Neural Network) aspects.
In this article we consider translational - rotational motion of two mutually gravitating celestial bodies with variable mass and with variable sizes in absolute and barycentric coordinate systems and their differential equation of motion. The moments of inertia of the second type of axisymmetric bodies are variable. The axes of the own coordinate system for axisymmetric bodies coincide with the main axes of inertia, and this position remains unchanged during evolution. Masses of bodies change isotropic in the different rates. Newtonian interaction force is characterized by an approximate expression of the force function, taking into account the second harmonic.
This article presents the possibility of obtaining dry mixes and the influence of multicomponent systems on the physical and mechanical properties of dry mixes. The formulation of the content of dry building mixtures, similar to the relevant publications in the field of research. Features of change of rheological and technological properties of solutions on the basis of dry mixes depending
on the content, density of a dump and various doses of impurity are established.
The article is devoted to the development of multifunctional multi-agent Smart-system for prediction and control of complex objects based on modified swarm intelligence algorithms and artificial immune systems. Modified CPSOIW-CS algorithm has been developed based on cooperative particle swarm optimization with inertia weight (СPSOIW) and clonal selection (CS) algorithm. Preliminary data processing and selection of informative descriptors have been performed based on CPSOIW algorithm. The application of CPSOIW algorithm allows more detailed and fast exploration of multidimensional space and avoid premature convergence. Pattern recognition and prediction have been carried out using CS algorithm. In paper relevance and prospects of the developed system in real production have been shown. The block schema of multifunctional multi-agent Smart-system has been developed. The following agents have been created: database agent, manager agent, assistant agent, ontological agent, cooperative particle swarm agent with inertia weight, pattern recognition agent and prediction evaluation agent, also their functions have been described. The MCPSO (Multi-agent Cooperative Particle Swarm Optimization) software has been developed in Python programming language to process multidimensional data, select informative descriptors and create an optimal set ofparameters characterizing an object and it is a module o f multifunctional multi-agent Smart system.
The article describes the ways of constructing mathematical models for processes in the soil. Models designed to increase their fertility, varying with soil moisture, for the transportation of salt are shown. In order to more accurately describe the nature of the system's response to environmental change, it is necessary to take into account in the model the largest possible number of environmental factors influencing it. Mathematical models developed to study the mechanism and patterns of transfer of solutes in the soil, use in agriculture, prevent soil salinity and prevent desalting of saline lands are given.
The current paper focuses on traffic demand estimation problem. Artificial Neural Network (ANN) proposed as a prediction model. The given problem formulated as a supervised learning classification task. The dataset for model training and validation consists of synthetic data that was generated by using simulator. The results of experiments show training accuracy = 82.2 %. The evaluation of the test set gives 80.03 % accuracy. Finally, well-trained estimator of traffic flow is obtained.
Study of the kinematics of a six-element mechanism containing an Assur Group IV class II order group with a variable closed loop with a translational pair is considered with a general scheme for determining the “initial” positions. The method is based on lowering the class of high-class mechanisms by conditionally replacing the rack and selecting as its one o f the links of the movable variable contour of the mechanisms of the high classes; then, in reverse motion relative to the conventionally selected racks, the angle formed by the conventionally selected rack and the adjacent contour link is taken as the generalized coordinate. This method allows to lower to the II class or the III class of Assur groups of high classes. The method is also applicable to the mechanisms of high classes with different single and multi-circuit Assur groups. Applying conditional replacements of racks reduces the task of analyzing the “initial” positions to analytically solving or minimizing only one objective function of the residual where the conditional generalized coordinates method requires the simultaneous minimization of two objective functions, and thus the task of analyzing this kind of mechanism is simplified. In the numerical solution of the problem of finding the “initial” positions o f high-class mechanisms, we can mention the widely used method of conditional generalized coordinates, the essence of which is to transform the projection system of vector equations for closed contours to one or two nonlinear trigonometric equations, respectively for Assur groups with non-uniformly and uniformly distributed leads. Numerical computer analysis shows that the proposed method of determining the “initial” positions requires significantly less computer time as compared to the approaches ofanalyzing the positions of the mechanisms of the high classes. The method of conditional replacement of racks allows you to create an effective set of computer programs for analyzing the “initial” positions of high-grade mechanisms.
ЭКОНОМИЧЕСКИЕ И СОЦИАЛЬНО-ГУМАНИТАРНЫЕ НАУКИ
This paper examines the possibilities of modernizing the system of technical and vocational education in accordance with the needs of society and the development of the economy. The current problem of the low percentage of employment of students in their specialty in the system of technical and vocational education (VET) is being raised. Particular attention is drawn to the need to change a number of traditional approaches to the system of training specialists. Based on world experience, the introduction and support of a dual education program is proposed, which should be implemented in close cooperation with employers and social partners interested in the development of dual education.
This article discusses issues of improving the efficiency of enterprise management on the example of a company for the production of industrial goods. The object of the research is LLP «Yug Prom Stal». The purpose of this article is to study new approaches to the management o f the company and develop, on their basis, measures to improve the effectiveness of the management system in the enterprise. Because of the study, it is expected to receive specific recommendations on the implementation of operational and financial management, and will determine the company's plans for the development of the management system as a whole. The main key focus identified the main indicators reflecting the ultimate management efficiency, based on which it is possible to determine the priority directions for the improvement of measurement indicators. To solve the problem, the author used various approaches, including logical and comparative analysis, methods of theoretical and research approach, methods of data analysis and economic and mathematical modeling. The authors focused on the main technical and economic indicators of Yug Prom Stal, cash flow, analysis of the income and cost part and other financial indicators, the improvement of which will directly proportional to the increase in management efficiency in general.
ISSN 2959-8109 (Online)