Search and exploration drilling within the study area was carried out in 1943-1950. Geophysical surveys in the wells were performed in a limited complex, including SP, Resistivity, GR, NGR, Caliper. The main objectives of the research were lithological decomposition and correlation of well sections, elucidation of patterns of occurrence of the same type of reservoirs and their tracking over the area, identification of reservoir layers and determining the nature of their saturation. The preliminary processing of the initial logging data was carried out for the subsequent determination of the reservoir properties of the reservoirs according to a limited set of studies.

The device and functions of an unmanned aerial vehicle equipped with devices for determining the leak location in underground trunk pipelines are considered.

The functions of unmanned aerial vehicles can be based on monitoring the integrity of networks, monitoring certain specific areas, a preliminary assessment of the safety of work, as well as pipeline protection.

The change in stability of clay hydrodispersions under the influence of polyelectrolytes, differing in molar ratio, nature, and types of functional groups, was studied. Under the influence of a polyelectrolyte, containing non-ionizable acetate and amide functional units, a slight increase in destabilization of clay hydrodispersions is observed as the number of very weakly positively charged amide groups increases. In the presence of a polyelectrolyte, containing vinylacetate and diethylaminoethylmethacrylate units, with the increase in the number of well-ionizable aliphatic amine functional groups, destabilization of clay hydrodispersions is more pronounced. A rapid and especially pronounced decrease of clay hydrodispersionsstability is observed under the influence of polyelectrolytes containing highly ionizable aromatic amino functional groups (4-vinylpyridine) and aliphatic amino functional groups (diethylaminoethylmethacrylate) obtained in all molar ratios.Polyelectrolyte containing aliphatic amino functional unit (diethylaminoethylmethacrylate) and negatively charged carboxide functional groups (methacrylic acid units) in the macromolecule chain, due to manifestation of weak destabilizing-flocculating ability, a slow clarification of dispersed medium, separation of negatively charged fine particles of solid phase and slowing down filtration rate of clay hydrodispersion.The revealed features in the change in stability of clay hydrodispersions in the presence of polyelectrolytesamples containing functional groups of various nature and differing in molar ratio, charge sign, macromolecule chain length and the convenience of location of positively charged active part of the functional group, as well as differing in their ability to interact with small negatively charged particles of the dispersed phase are explained on the basis of experimental data.

The analysis of statistical data indicates that in all regions of Kazakhstan, including the Turkestan region, the volumes of municipal solid waste (MSW) allocated for disposal and storage in the landfill are growing from year to year. This is largely due to both the increase in population and the lack of environmental culture at the right level.

According to statistics, at present, the total volume of solid waste accumulated is hundreds of million tons, with about 5-6 million tons of solid waste being generated annually. By 2025, this figure can grow up to 2 times. The most acceptable solution to the problem is to learn how to recycle waste (recycle it) and develop a new industry.

High-strength self-luminous paving slabs from sulfur-perlite wastes of the sulfuric plant SKZ-U LLP and solid wastes of the Ashisay polymetallic plant were obtained and commissioned.

The new products that have been obtained are characterized by high thermal insulation, high strength and water resistant properties.

The article is devoted to the issues of labor safety during the operation of lifting mechanisms in production. The causes of accidents during loading and unloading in construction are analyzed. The principle of operation of the column brake TCT-200 providing safety is shown. The strength of the steel rope and boom was calculated. The automatic safety of the lifting mechanism is calculated.

This work is a study of the interaction between the molybdenum Ion and humic acid extracted from the brown coal deposits of Ekibastuz region.

From the humin extracted from the deposit, humic acid is synthesized, which is then placed in a solution of the molybdenum ion, after a day it is dried and a system of humic acid and molybdenum is obtained.

Ion exchange or complex coupling showed that the appearance of new bands in the IR spectrum and changes in absorption bands are caused by stretching or deformation of zones with double OH and C-H bonds. This allowed us to determine that the interaction of humic acid (HA) and molybdenum ions occurs through the mechanism of ion or electron-donor complexation.

In stationary glass, a carbon electrode was used, on the surface of which various compounds were transformed and their electrochemical properties were studied.

The results of electrochemical studies of the humic acid-molybdenum system were carried out by the method of cyclic voltammetric (CVA) analysis. The results of the study showed the presence of an interaction between humic acid and molybdate ions. The pH effect was also considered in electrochemical studies. In this case, the electrochemical activity of oxide compounds of immobilized molybdenum or molybdenum on the surface of the electrode shows the possibility of its application in the implementation of electrocatalytic reactions by means of modified electrodes.

The article is devoted to the production of nanoscale silver particles stabilized in a polyethylene matrix. The properties of nanosized composites obtained in the course of the studies were investigated by IR spectroscopy, X-ray diffraction, and transmission electron microscopy. The phase composition of the synthesized nanoparticles was analyzed using the x-ray phase method and the factors of the composition of the composite phase were determined.

This article discusses the effect of the concentration of active components on the effectiveness of disinfectants with using of the rotatable central compositional design of the experiment. Efficacy studied on E. coli culture. There was determinate optimal percentage of the chemical composition for obtaining disinfectants based on aldehydes, amines, chlorine-containing substances: Didecylammonium chloride -9.8%; Glutaraldehyde -9.7%; glyoxal 7.7%; distilled water - 66.8%; auxiliary components - 6%. It was found that the greatest influence on the effectiveness of the disinfectant is exerted by the pairwise interactions of the components and not the content of the components separately. The exception is distilled water. Under these conditions, the death of E. coli is 98.1 ± 1.6% (found in the experiment). The theoretically calculated value (according to the equation) was 95.4%. The deviation of the experimentally found value from the theoretical was 2.75%, which indicates the adequacy of the model.
The study of a new designed disinfectant allowed us to conclude that it is effective for: St. аureus ATCC 6538 starting at concentration of 0, 25% with an exposure of 60 minutes; Y. pestis EV и V. cholerae 0I 75- М at concentration of at least 2% of the exposure for 60 minutes; C. аlbicans АТСС 10231 at a concentration of 0.5% when exposed to 15 minutes; B. anthracis Tsenkovsky 4% solution for 60 minutes. DS according to the degree of exposure to the body, toxicity belongs to the 3rd class of moderately hazardous substances when introduced into the stomach and the 4th class of low-hazard substances when applied to the skin.

In this paper it was created «backypaper» based on soot having hydrophobic and metallic properties. The hydrophobic properties of soot formed during the combustion of a propane-butane gas mixture were studied, and metal properties were given. In order to give the metallic properties to the soot, they were treated with saturated solutions of iron salts. In the study of soot samples, it was found that they have both hydrophobic and metallic properties. It was investigated collected soot by physicochemical methods (Raman spectra, transmission electron microscopy) for establish a complete information about the structure of sample.

Hydrogen is considered as a fuel of the future because it is a clean energy carrier and has important application in the fast expanding fuel cell industry. Today, 96% of hydrogen is obtained from fossil sources, however, it can be produced in such a promising process of green chemistry as steam reforming of bio- renewable raw materials, primarily ethanol (ESR). The widespread use of this technology is constrained by the disadvantages of existing catalysts: despite intensive research, today there are no active, selective and stable cost-effective catalysts for biofuels reforming into synthesis gas and hydrogen. The ESR process has been studied in detail for catalysts based on transition (Ni, Co, Cu) and noble metals (Pd, Pt, Rh, Ru). Noble metal catalysts have shown high activity and selectivity in the ESR process, but their profitability is doubtful. Relatively inexpensive and highly active catalysts based on nickel and cobalt are widely used in the SCE process, however, coke formation and sintering of the active component lead to their rapid deactivation. Over the past two decades, many studies have been conducted to increase the activity, selectivity and stability of ESR Ni- and Co-containing catalysts, as well as determine the reaction mechanism. This review summarizes the results of studies on the development of an effective catalyst for a transition metal-based ESR process.

The article discusses the process of separation of titanium and vanadium compounds from phosphorus raw materials. In the course of the study, the titanium and vanadium compounds were recovered by leaching with sulfuric acid, and then obtained titanium and vanadium-containing compounds were studied by physicochemical methods. Also, carbon nanotubes were grown on substrates based on titanium and vanadium-containing compounds.

At present, aluminum-iron-nickel-silicon brass is widely used in the automotive industry, which, due to the presence of alloying elements in them, has a unique combination of high ductility with high hardness, wear resistance and operational strength. Al-Fe-Ni-Sn-Cu-Zn alloy, which is practically single-phase, can also play the role of such materials. However, its significant drawback is its tendency to crack under the influence of residual stresses arising after hot deformation. The main structural component of this alloy is the CuZn B2 β phase ordered by type, which is characterized by low ductility at room temperature. In this regard, the identification of mechanisms, and the subsequent elimination of the causes of the appearance of high residual stresses in tube and ring samples is a very urgent task.

The article contains a description of physical and chemical properties of the sorbents for wastewater treatmentobtained on the basis of natural graphite. Graphite is currently being studied in detail, and its properties and features are described in many publications. Under normal conditions, graphite is the most stable form of carbon. During the heat treatment, gaseous substances are formed in the crystal zones of oxidized graphite; itreduces the decomposition pressure in the range of 100-600 atm. As a result, the graphite layers are destructed and substituted for a foam-like structure. There is formation of the foam-like graphite characterizing the unique properties of a foaming agent. The foam graphite represents a lightweight foamlike carbon material consisting of wormlike particles. Each the particle consists of the alternating layers of graphite and air space. High porosity and different sizes of the pores allow the material to be used in different areas.
The practical application of the graphite-based sorbents is aimed at eliminating environmental, socioeconomic and recreational damage and protecting the environment. In particular, the foam-like graphite can be applied for removal of harmful impuritiesfrom the industrial waste water formed during oil refining.
Physicochemical features of the carbon-containing sorbents were studied using modern equipment including a Raman spectrometer (INTEGRA Spectra), an infrared spectrometer, and a scanning electron microscope (SEM, Hitachi S-4800, Japan).

Since the first releases of intercommunication models between end-devices, like ring topology, the whole picture of now days network infrastructure was changed unrecognizably. Modern systems of networking consist of many complex intermediate modules like switches, routers, firewalls, hubs etc. and the main goal of these inventions was to provide more reliable and scalable ground for communication (Quality of Service). Meanwhile, rapid growth of traffic on the Internet forced network engineers and software reliability engineers to pay more attention on the optimization of data flow from both sides, developing network-oriented software and application-oriented network. To apply effective solutions on these tasks, engineers need to research specifics of the current network state. The more whole system evolves, more data about network traffic we gain, and now it helps us to make optimization and tuning of intermediate devices, rather than just scaling it up with more bare hardware. Which protocols are used the most? What types of applications loads the network bandwidth the most? and etc. Classification of packets can help resolve the answers, and there are different approaches to achieve this. In this study, I tried to explore already known tools and methods that can be applied to solve such tasks.

The results of experimental studies of an external fence with an energy-active panel and a heat-reflecting screen are presented. Experiments were carried out on a fragment of the fence by thermal imaging control and analysis of thermo grams of the surface of the energy-active panel. It is shown that the presence of a heat-reflecting screen in the fence structures allows for a long time to maintain a high temperature difference of the heat carrier in the panel, as well as an increase in the flow of heat carrier in the process of heating the room.

In the current conditions of the formation of the cryptocurrency market, studies on modeling forecasts of price quotations are of particular importance. In advanced developed countries, fluctuations in this market are less and less dependent on political influence and the influence of other non-market factors, which confirms the need for objective research in this area. Scientific and methodological developments on this topic can be useful for both legal entities and individuals.

As a result, the introduction of predictive modeling of cryptocurrency quotes can give a certain economic effect, a specific financial benefit to individuals and legal entities and deserves further study on a more extensive data set.

The need to optimize customer service, reduce operating costs and negative environmental impact that may arise as a result of suboptimal planning of vehicles and their routes attracts the attention of the scientific community to solving this problem over the past decade. The development of effective tools to solve problems in the transport industry can lead to significant cost reductions and efficient resource consumption. In this paper, we consider and compare algorithms that can provide the search for the optimal route that satisfies the conditions for solving the problem of routing delivery with time windows (VRPTW). The analysis of the most suitable solution paths that can reduce the number of calculated paths and reduce the time of solving the problem is presented. Heuristic graph search algorithms were studied, namely: breadth-first search, Dijkstra's algorithm, Greedy algorithm and A * algorithm. It also presented ways to improve each algorithm in the Python programming language, identified the strengths and weaknesses of each of the proposed solutions and the most suitable for solving the problem of routing delivery with time windows. The results of the work can be used to create software that solves the problems of delivery routing in the oil and gas industry, contributing to the optimization of logistics processes, which in the long run will have a positive effect on cost reduction, rational consumption of resources and a favorable impact on the environment.

The article analyzes the existing interactive educational portals in the World. Student learning models, training methods of specialists, ways of presenting information were studied, motivation of students and obtaining specialists in a certain field were studied, considering distance online education. The basic functional concepts of the global giants of online learning, such as Coursera, Udemy, JavaRush and Codecademy, are examined. A new model for teaching students, motivation system, practical training, student development analysis and obtaining the final result as a specialist in the selected field were proposed.

Additive manufacturing is a layer-by-layer manufacturing technology of parts that has been developed in medicine and automotive industry in the recent years. The main advantages of this technology are saving raw materials and energy resources, as well as reducing CO₂ emissions. Standards in Additive manufacturing can be an additional impulse for the development of this industry.

The purpose of the work is 1) to analyze the regulatory framework in the field of Additive manufacturing; 2) to consider if the existing methods for testing polymer products made by traditional methods are applicable for determining the hardness and mechanical properties under strength of the same products made using Fused Deposition Modeling.

Machine learning is growing every day thanks to a wide range of applications. From traffic analysis to self-driving cars, many tasks are shifting to self-learning cars. Now, at the intersection of the second and third levels of machine learning, the pace of change in the world with the help of this technology is growing every day.

Convolutional neural networks have revolutionized computer vision and pattern recognition. They are used to recognize speech, generate various images, process audio signals, process time series, and analyze the meaning of texts. An increasingly complex and deep architecture of neural networks is being developed, along with the undoubted advantages of the common problems of this approach, there are some disadvantages. One of them is the hidden internal principle of the neural network. A properly trained network does not provide researchers with information about identified data dependencies and the structure of the problem. A trained neural network is a set of weight matrices. From this point of view, neural networks are only a tool for solving a specific machine learning problem, but they do not provide experts with analytical information to study the problem. As has long been known, the principle of neural network operation was taken from the principle of neurons in our brain. Inside the brain, we learned to look through ultrasound, PET, MRI and fMRI. And for convolutional neural networks, such indicators as accuracy, precision and heat maps will be used for visualization. The purpose of the work is to find out the effect of a training dataset on the accuracy of a neural network. And how much data will significantly change the stability of the neural network. First of all, they were selected by hyperparameters: learning speed, batch size and number of eras, as well as image size. Then a series of trainings were carried out using the original data, and only then were the images that had been pre-processed added. As the results of the work showed, the dataset, which contains about 15% of the pre-processed data, has a positive effect on the accuracy of the model. When using more data, there was no significant increase in accuracy.

This paper describes conceptual solution of software and hardware complex for early detection of forest fires based on Machine Vision and algorithms of image processing. the urgency of this work is a difficult situation in the field of combating such technological disasters as forest fires. This paper based on research of already existing platforms and systems. Problem of forest fires is one of the most significant problems of human race, interfaced with problems of ecology, politics and economics. One of the most effective methods of fighting fires is their earlier detection and stopping at the initial stages until the conflagration has become spontaneous nature

In recent years, sentiment analysis of e-mail messages or social media posts is becoming very popular. It can help people define if they are reading something positive or negative. On the same time, there are some services on the Internet that can help you find or create a new name. When processing the creation, they check the name in other popular languages, so your name does not mean inappropriate things in other languages. For this they bill for 25 thousand US dollars. If there are such services, then there is a demand. In this study, sentiment analysis of e-mails was implemented with using StanfordNLP [1] lemmatizer and classic machine learning algorithms as a classifier. It is applied to real e-mails from Russian speaking mailbox, which means there are both English and Russian messages. Thus, language identification is also added as preprocessing step. In this study only binary sentiment analysis was made, but it can be improved with adding several emotions to be detected. Then another model generates Kazakh names using neural networks, where all Kazakh names data has been collected through various websites. The sentiment analysis model gives 81% accuracy and the joint use of two models allow us to generate new Kazakh names, which are checked with Russian language if they mean something inappropriate. The result can be improved with checking with other languages.

In robotics development processes start from high level abstraction to demonstrating the particular case or simply prove an algorithm compared to another algorithm works better most of the time researchers might be seeking a straightforward way. It does work if you already set up your own ready research environment but it is not an easy way if you don't have a proper lab environment. In this paper authors motivated by those research environment problems, beginning to discover from authors own perspective attempt to classify the robotics tools with following criteria: by open source, by frequently improving updated versions activity, by whether or not widely supported by researchers and industry or worldwide user groups etc. Finally, author come out with a pace of recommendation for new robotics research with authors research experience to the six open source robotics tools. During the past two years author used the six tools, some of them used not much, some used more. Whatever now is the time to tell people which one has what features compared to each other. In addition, because of the author's own research interest mainly from robotic hand grasping, naturally two related toolboxes (GraspIT! and Syngrasp) are also covered with the same criteria. Author hopes the viewpoint of “the journey” will help others save a pace of time for robotics research.

In this paper, the ontological properties of knowledge derived from the semantic properties of information are considered. Formalizing the concepts of “message”, “data” and “information”, the procedure for obtaining the necessary knowledge from these concepts has been algorithmized. A formalized methodology for analyzing knowledge based on the interpretation of information in context is given. While focusing on the intrinsic properties of information. It is shown that if one interprets the same information in different contexts, then the semantics of knowledge will be different. A criterion for the fractality of knowledge in information systems is proposed. On the other hand, the fractality of information is a prerequisite for the emergence of a fractal ontology of knowledge. The condition for creating a fractal knowledge base in intellectual systems is proved by introducing the concept of a knowledge filter. The turn of these filters is formed from the essential properties of information. Therefore, the representation of knowledge through “data”, “information” is of fundamental importance in the design of a fractal knowledge base in intelligent information systems.

Disasters caused by natural phenomena are a source of tremendous social upheaval that can lead to mass suffering, loss of life, as well as significant material costs. The main factors in increasing the number of natural disasters and natural emergencies include global processes, examples of which are: population growth, degradation and environmental degradation, climate change and others. Obstruction of natural disasters is a key element of a global government strategy aimed at the sustainable development of the economy, as world experience clearly shows: the most effective way to reduce losses from natural, industrial and socio-economic accidents and disasters is to prevent them. The main basis for emergency prevention is monitoring and forecasting. Of course, forecasting emergencies and their socio-economic consequences is based on monitoring and forecasting the sources of emergencies. Accordingly, the fight against natural disasters should be based on the principle of the rational economic use of the territory, as well as forecasting and modeling of potential dangers with the implementation of preventive measures, which requires solving the urgent problem associated with the forecasting of natural disasters in the modern world.

The main purpose of this article is to create a brief overview of research and the current method of modernity associated with the prediction of natural disasters in order to prevent damage caused by it. The article substantiates the high relevance associated with the object of study, discusses the basic concepts and terms, and explores some forecasting methods that can prevent the potential danger of a natural nature.

The article is devoted to improving methods for increasing the stability of pipelines in areas with high seismic activity. The methods of automated determination of the strength of pipelines subjected to seismic effects are studied.

The analyzes were carried out and patterns of the influence of transverse loads from the action of seismic waves directed normally to the longitudinal axis of the pipeline on the strength of the structure depending on the diameter and thickness of the pipe wall and the intensity of the earthquake were revealed.

Nowаdаys е-commеrcе is аn intеgrаl pаrt of еvеry pеrson’s lifе. Sociаl mеdiа such аs Twittеr, Fаcеbook, LinkеdIn, Instаgrаm аnd YouTubе plаys а lеаding rolе in incrеаsing trаffic, аttrаct nеw customеrs, аnd mеthods of working with thеm in е-commеrcе tools. Thе mаin objеctivе of this rеsеаrch аnаlyzing rolе of sociаl mеdiа in е-commеrcе mаrkеt of Kаzаkhstаn.