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<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Model of the information management systems implementation in the sector of critical infrastructure of the state</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Tetiana Okhrimenko</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Andrii Brednikov</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Tetiana Smirnova</string-name>
          <email>t.smirnova@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Iryna Les</string-name>
          <email>iryna.les@gmail.com</email>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Мaria Komova</string-name>
          <email>mariia.v.komova@lpnu.ua</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Polina Melnychenko</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Central Ukrainian National Technical University</institution>
          ,
          <addr-line>Kropyvnytskyi</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Lviv Polytechnic National University</institution>
          ,
          <addr-line>S. Bandery st. 12, Lviv, 79013</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>National Aviation University</institution>
          ,
          <addr-line>Kyiv</addr-line>
          ,
          <country country="UA">Ukraine</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>Oil refining industry is the sector of critical infrastructure in many world states. The most important direction in the management of oil refining enterprises is the optimization of information automated enterprise management systems. The article analyzes the existing methods of management of oil refining enterprises, identifies their shortcomings, and indicates the directions for the development of the “ideal” model of the information system for the management of oil refining enterprises. Also, the main methods of market price formation, which affect the formation of the price of petroleum products, and the proposal of an improved model of the automated management system for the automation of business processes of formation of the cost of imported petroleum products will be considered.</p>
      </abstract>
      <kwd-group>
        <kwd>1 Oil refining enterprise</kwd>
        <kwd>Optimization</kwd>
        <kwd>Information automated enterprise management system</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>1. Introduction</title>
      <p>
        In the conditions of globalization, the world prices of oil (part of the critical infrastructure – Fig. 1)
and its derivatives have turned into one of the most important economic indicators [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ], which directly
affect the state of commodity and financial markets, as well as national budget systems. Exchange rates,
stock quotations, and consumer and wholesale prices are formed under the influence of the expectations
of business entities regarding the future dynamics of world oil prices. Forecasts of the world oil market
are taken into account when developing state budgets and investment projects of the corporate sector.
The prices of oil and its derivatives, in particular gasoline, significantly affect production costs.
      </p>
      <p>
        The global oil market has a particularly noticeable impact on [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ] the economy of the countries that
export this resource. In such countries, revenues from the export of oil and other energy sources
determine the dynamics of aggregate solvent demand and tax revenues to budgets of all levels and
influence the formation of the national currency rate and the pace of the inflation process. Conjectural
fluctuations of the world oil market largely determine the dynamics of macroeconomic processes.
During periods of high world oil prices, favorable conditions exist for the development of the domestic
economy.
      </p>
      <p>
        A sharp drop in oil market quotations leads to crisis tendencies. Effective use of revenues from oil
exports is an important prerequisite for accelerated development in the economy of innovative
industries. The oil refining industry is an industry with increased requirements for the management of
technological processes [
        <xref ref-type="bibr" rid="ref3 ref4 ref5">3-5</xref>
        ], production, and enterprises in general.
      </p>
      <p>
        At the moment, there is an urgent question about the need to develop a general strategy and a new
concept of building management systems [
        <xref ref-type="bibr" rid="ref6 ref7 ref8">6-8</xref>
        ] at the level of individual enterprises and vertically
integrated oil companies. Black gold is one of the most convertible non-monetary currencies on the
planet [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ]. Oil production and processing have been relevant for more than a century.
      </p>
      <p>However, in connection with the decrease in natural oil reserves, two questions arise and become
relevant:
 mining with maximum use of the latest technologies;
 the most “modern” degree of purification and processing with the least losses.</p>
      <p>There is also a third option – the combined use of “living” oil with artificially synthesized additives.
In light of all these factors, both the improvement of management processes and the almost complete
automation of mining and processing methods, their improvement and adaptation to modern economic
conditions are relevant.</p>
    </sec>
    <sec id="sec-2">
      <title>2. Analysis and problem statement</title>
      <p>
        Analysis of modern information management systems [
        <xref ref-type="bibr" rid="ref10 ref11 ref12">10-12</xref>
        ] showed actuality and value for
different sectors of critical infrastructure.
      </p>
      <p>The purpose of this article is to create a more optimal modeled automated management system
[1316] for automating business processes of forming the cost of petroleum products. Since at the moment
oil prices play a very important role in the formation of the cost of all products and many services on
the market, due to fluctuations in the price of oil, a significant fluctuation in the price of other goods is
possible.</p>
    </sec>
    <sec id="sec-3">
      <title>3. The general mechanism of oil pricing</title>
      <p>Let's consider the general pricing mechanism. The price of oil on the domestic market is formed by
the reverse calculation of the world price of Brent oil: the cost of export duty (approximately 60-65%
of the price) and transport costs are subtracted. There are small price deviations related to the domestic
situation, but they do not play a serious role.</p>
      <p>Thus, refineries buy oil at a price of about 35% of the world price. An increase in world prices is
almost always reflected in an increase in motor fuel prices. However, due to time lags (between changes
in world prices and export duties, between decisions on the redirection of oil flows, changes in the
efficiency of business processes in oil refining, etc.), the domestic market's decrease in world prices is
almost not reflected.</p>
      <p>Further, the price of future oil products includes transport costs and the cost of processing, taxes on
oil products – excise duties and VAT, and various categories of “margins”. In Ukraine, the profit
(margin) throughout the chain is very high – about 20-30% of the final price. To a greater extent, it is
concentrated in retailing, but the profitability of oil refining in Ukraine is higher than in developed
countries.</p>
      <p>There are three groups of factors that determine the almost continuous increase in prices for gasoline
and other petroleum products in Ukraine.</p>
      <p>The first includes the linking of pricing and taxation of petroleum products to world oil prices (at
the same time, the mechanism of lowering domestic prices following the decline in world prices does
not work), as well as periodic increases in taxes on petroleum products. This leads to an increase in
domestic fuel prices when global oil prices rise.</p>
      <p>The second group of factors includes the monopolization of regional oil product markets by large
vertically integrated oil companies [17]. This applies to the segments of refineries and oil depots. They
form the basic level of prices in the regions, which the gas station segment, where the competition is
higher, only broadcasts to the consumer market.</p>
      <p>The third group of reasons includes the unfortunate geographical location of large refineries (high
transportation costs), which does not correspond to the territorial distribution of demand, as well as the
low technological level of Ukrainian refineries and the structure of the production of petroleum
products, which does not correspond to the demand from the economy.</p>
      <p>An important factor in the growth of domestic consumer prices can be considered the assumption
that the production costs of oil refining will be attributed to a greater extent to the aviation kerosene,
gasoline and part of the DP needed in the domestic market, than to the less necessary products exported
as part of petroleum products, which are sent for export at prices oil The following image illustrates the
main sources of oil and petroleum products in Ukraine (Fig. 3).</p>
      <p>The named groups of factors simultaneously affect the amount of oil production and import, which
determines the need for a systematic approach to the development of measures to limit the growth of
oil product prices, because the exclusion of one factor may not lead to a decrease in final prices, but to
a redistribution of price components among their recipients. For example, without limiting
monopolization in regional markets, tax reductions may lead to an increase in the share of profits of oil
companies in the final price to a greater extent, and to a lesser extent to a decrease in the price level.</p>
      <p>As a result of the study, it was established that the specified factors affect the construction of a single
nomenclature of cost items of the studied enterprises, which makes it possible to develop codes of cost
items for calculating the cost of production, namely:
 natural factors have an impact on the production and commercial activity of oil and gas
production enterprises due to their territorial location and the size of the fields being developed;
 technical factors at all stages of the production process require an appropriate level of
parameters of production equipment and aggregates, in particular, the progressiveness of the
technologies used significantly affects the completeness of oil and gas production, as well as the
reduction of losses at all stages of production;
 organizational factors are an essential condition for sustainable development of the
enterprise [18].</p>
      <p>Having studied the organizational and technological features of the production of oil and gas
production enterprises, it was established that to improve accounting and internal control in the
management system, it is necessary to display information in terms of responsibility centers and cost
centers.</p>
      <p>The table below (Fig. 4) will provide a more detailed description of the above-mentioned factors
affecting possible costs for calculating the cost of production.</p>
      <p>The main problem at most oil and gas production enterprises is the low efficiency of management
processes and their weak influence on the components of economic activity, which does not ensure
proper accounting and data control.</p>
      <p>As a result of working out the specifics of oil and gas production enterprises, the following
characterization of factors that influence the cost structure and cost structure of their products is
proposed through the formation of their classification according to the following characteristics: natural,
technical-technological, organizational-economic, which will make it possible to increase the
informativeness of accounting data and the effectiveness of control procedures.</p>
    </sec>
    <sec id="sec-4">
      <title>4. Peculiarities of production cost formation at oil and gas production enterprises</title>
      <p>In terms of market relations, the cost of production is one of the most important indicators of all
economic entities of the state, as it is important in the processes of:
 determination of national income on a country scale;
 estimates of the completion of the plan for this indicator and its volatility;
 determination of prices for manufactured goods;
 identification of reserves of product cost reduction balances;
 establishing the profitability of production and certain types of goods;
 calculation of economic rationality and quality of innovation implementation.</p>
      <p>Cost management of the company's products is a planned process that involves the creation of costs
for production processes and the cost of certain types of goods, as well as monitoring the
implementation of cost reduction, identifying reserves for its reduction. In general, the main
components of the product cost management system are forecasting and planning, cost normalization,
accounting and calculations, analysis and control, which are closely interconnected.</p>
      <p>The main goals of the process of accounting for production costs and calculating the cost of products
and goods at oil and gas enterprises are:
 accounting of the volume, quality and assortment of manufactured products (work performed,
services provided) and control over the implementation of the plan according to these indicators;
 identifying the results of the activities of structural and other divisions to reduce the cost of
production;
 identification of reserves for reducing the cost of production;
 calculation of the cost of production and control over the implementation of the cost plan;
 accounting of actual production costs;
 control over the use of raw materials for production, material and other resources, as well as
compliance with established cost estimates for production maintenance and management.</p>
      <p>Therefore, the research and substantiation of the formation of the production cost of oil and gas
enterprises is still an actual task.</p>
    </sec>
    <sec id="sec-5">
      <title>5. Optimization of technological and information processes</title>
      <p>Extraction and processing of oil has been and will remain very important in the industry, related to
many areas of use of the results of processing. Increasing the proportion of important processing
components is important both for building foundations and for already widespread applications.</p>
      <p>The willingness of science to help is accompanied by attempts to create something new within the
framework of already used methodologies or to optimize technological and information processes (Fig.
5) as much as possible. An increase in the share of science-intensive technologies allows for faster
implementation of science in practice. The existing methods of management of oil refining enterprises
(ORE) and methods of automation of process management have rich experience in introducing new
technologies both in the processes themselves and in service systems.</p>
      <p>The most progressive in the management of technological processes is their control with the help of
computer technology, which highlights important decisions and manages many situations with a high
speed of both assessment and decision-making and their implementation. Feedback in continuous
manufacturing processes keeps the delicate threads of important chemical processes within the precise
limits of their optimal conditions.</p>
      <p>The main goal of the work is to identify potential opportunities for increasing the economic
efficiency of the functioning of technological equipment, individual industries and enterprises. The tool
for achieving the goal is the creation and improvement of management systems and information systems
that meet modern global requirements and common corporate interests.</p>
      <p>The creation of such systems is a complex process, starting from the inspection of the oil complex
and ending with the provision of service for the installed equipment and systems as a whole:
1. comprehensive inspection of production premises;
2. development of the concept of automation and informatization;
3. design of management systems and information systems;
4. organization and holding of tenders;
5. support;
6. organization of deliveries of software and technical complexes;
7. engineering, commissioning works;
8. training and education of operational personnel;
9. consultancy;
10. service;
11. telecommunication support;
12. provision of information exchange with corporate services.</p>
      <p>
        Concepts should include the architecture of the entire system [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ], possible software applications of
each level and suppliers of software and hardware systems, solutions for building a network structure
and work schedule with reference to the execution of design and construction works. In addition, the
concepts should define the stages of work, the cost and the evaluation of the economic efficiency of
each stage. However, the task of the concept is not to select specific products and suppliers, but only to
list them. The development and approval of design solutions for all types of refinery system support are
carried out at the stage of technical design, and the subsequent selection of specific companies and
products - at the stage of detailed design of the system. This approach makes it possible to create
systems based on modern software and technology complexes with optimal costs.
      </p>
      <p>To solve these tasks, it is necessary to automate the business processes of the enterprise with the
help of modern laboratory information systems capable of solving the following tasks:
 reduction of analysis time by connecting the equipment to the system;
 standardization and systematization of information;
 ensuring the completeness, efficiency and reliability of information;
 confidentiality and integrity of information;
 availability of information to users who are properly authorized to do so;
 reduction of labor costs for the organization of document flow according to indicators of
product quality in laboratories;
 efficiency of obtaining information about the quality of manufactured products by the
management personnel of enterprises;
 increasing the efficiency of the process of processing quality indicators by laboratory assistants;
 maximization of sample throughput and minimization of laboratory costs;
 control of the adequacy of instrumental and instrumental rates;
 reduction of data entry errors;
 improvement of analytical methods.</p>
      <p>Laboratory information management systems should take into account all structural divisions of the
enterprise that have significant responsibility in the quality management process (laboratory divisions,
technological and production department, standardization and certification departments, management
services of all production facilities of the enterprise) and ensure comprehensive automation of product
quality. management at the enterprise.</p>
    </sec>
    <sec id="sec-6">
      <title>6. Identifying the shortcomings of existing automation methods and the main planning factors for the management of ORE processes</title>
      <p>The current unstable economic situation, uncertainty of development prospects, instability in the
directions of economic development of oil refineries give rise to problems and situations that require
new effective solutions in the field of management and technical methods, as well as information
technologies.</p>
      <p>The main external factors that affect the management planning process are demand fluctuations,
which have a huge impact on operational planning and capacity utilization. Volatility in supply chains,
influenced by factors such as: price, quality and availability, which determine such a concept as
profitability in the final cycle. No less problematic is the influence of state regulations regulating the
supply and productivity of products.</p>
      <p>Refineries are aware of the complexity of the challenges facing the industry. Hence the increasing
use of hardware and software systems to support management decisions. Quite a few such complexes
have been developed for specific areas of the enterprise.</p>
      <p>They relate to such areas as: information technology process modeling technologies, modeling and
design tools, modeling and optimization methods, drawing up schedules, efficiency control, energy
management, forecasting changes in price indicators for the coming years.</p>
      <p>Another significant drawback concerns the automation of the processes of processing product
residues, in other words, the processing of production waste. As in all oil refining industries, oil refining
has waste – oil sludge [20].</p>
      <p>From an economic point of view, these are oil wastes that are generated during the extraction,
transportation and processing of oil and are not found in a more economically profitable technology of
use. These products are extremely dangerous for people and the environment. The nature of oil sludge
is very diverse; its composition varies within certain limits for each industry.</p>
      <p>The resulting waste is stored in specialized storage facilities, which are often worn out and
overcrowded. They are also in dangerous proximity to reservoirs and quarries.</p>
      <p>The reluctance to spend money on the disposal of these wastes in accordance with the norms, as well
as the imperfection, laboriousness, often, unprofitability of this type of work lead to the fact that in this
area the process is almost completely unmanaged and practically uncontrollable.</p>
      <p>The introduction of management of the process of disposal and processing of waste, its inclusion in
a technologically harmonious series of management, as well as the inclusion of a report on these
processes in the field of information management is one of the key solutions to the shortcomings in this
area.</p>
      <p>An ideal, abstract model of the control of the IAMM of the oil refining industry provides for ideal
situations in the processes involved in these systems [21].</p>
      <p>It is this approach that contributes to radical and effective changes in existing or newly built systems.</p>
    </sec>
    <sec id="sec-7">
      <title>7. Development of an ideal, abstract model of the ORE management information system</title>
      <p>Oil refineries often need the help of specialists who can tell where to start a transitional
modernization project. They should strive to maximize the economic benefits of modernizing
automation systems.</p>
      <p>Over the past 20 years, there has been a huge leap in technological and informational development.
What was new yesterday causes a smile today. Legacy oil refining systems face both technical and
informational challenges. Outdated technologies significantly slow down the process of reorganization
and reduce the level of labor productivity.</p>
      <p>Most systems of oil refining complexes use old machinery from the 80s and 90s of the 20th century.
With each subsequent technological leap, this gap becomes more and more tangible. Therefore,
currently, most refineries are forced to share the market with competitors, using the latest integrated
security tools [22-24], the latest solutions, and technologies in the management of information systems,
which gives obvious advantages in competitive battles [25].</p>
      <p>According to analyst firm ARC Advisory Group, the total value of the world's end-of-life systems
in use is about $65 billion, and the total value of systems in use is more than $53 billion. Additionally,
ARC states that downtime costs averaged nearly 5% of total production in the manufacturing industry,
or approximately $20 billion.</p>
      <p>The situations of each individual enterprise are so individual and specific that a single scheme can
exist only in a general, abstract form and is very different in details. Namely, these details should be
calculated at the stage of designing the automation systems update.</p>
      <p>The main requirements for creating an abstract model of the ORE management information system
are:
 control of the measured parameters of all technological areas of mining at the enterprise in real
time and transfer of information to the dispatch center;
 automatic regulation of all processing processes and accounting of all material and information
flows;
 possibility of remote monitoring and making adjustments at all main levels of business
processes of oil refining production.</p>
      <p>An example of a generalized abstract model of IAMM in the form of the main levels of control of
management processes will be given below (Fig. 6).</p>
      <p>The upper level symbolizes the decision-making center, the place of storage, processing, and
exchange of information at the level between the ERP system and the control room, which controls the
flow of input and output data within the framework of all production processes.</p>
      <p>The middle level represents well-control cabinets and telemechanics, other equipment installed in
the explosion-proof zone. The oil well pump is controlled using a frequency converter, the oil pressure
is monitored, the stationary sonar allows you to obtain an echogram in real-time, and the stationary
dynamograph allows you to record the dynamic load of the well (dynamogram). With the help of an
electricity meter, its consumption per well is controlled, a gas detector monitors gassing in the area of
the wellhead, and a fire sensor signals the presence of air in the well. The well can work in autonomous
mode under the control of the SCADA Pack controller, or in the dispatcher control mode, dispatcher
data is transmitted via radio signal.</p>
      <p>The lower level is an important component of the abstract production model. It is necessary to
implement analog and digital data input and output, which allows controlling and controlling
mechanisms and technological processes in industrial areas with the support of HART devices together
with peripheral devices.</p>
      <p>The implementation of the following possibilities in the equipment of counters is also necessary:
 real-time module backup and replacement support;
 duplicated system bus and power circuit;
 the possibility of connecting several extension chassis;
 guaranteed delivery time of initiative messages of any module;
 changing the technological program without stopping the processes.</p>
      <p>In this area of production, it is necessary to constantly improve the diagnostic process to monitor the
quality of production, obtain the ability to analyze the process and its forecast.</p>
      <p>The above-mentioned model, in addition to the listed main technological blocks, should have in its
composition treatment facilities, a torch farm, a freshwater unit, a pump for production and rainwater,
a block boiler room, etc. From each such object, the signals are sent either to a separate controller or to
the controller in the operating room. In addition to the mode of collection and control of parameters
according to the settings, remote and automatic control and regulation modes should play an important
role in modern ACS of oil preparation. The operator's command from the computer carries remote
control of the executive device.</p>
      <p>Enterprises should strive for the maximum use of research and development of new technologies
and create adaptations to the given living conditions and technical conditions of specific regions. This
will minimize the risks arising both in the economic, technological, and information space.</p>
    </sec>
    <sec id="sec-8">
      <title>8. Conclusions</title>
      <p>The ideal model of the information system, common to all enterprises of the oil refining complex,
should be a complex of rapid response to any non-standard situation and a flexible and adapted base for
coordinated actions of all services in daily work.</p>
      <p>From the point of view of modernization, the new technology of "electronic marshaling" eliminates
the need to perform such dangerous and time-consuming work in simplified electronic accounts of the
distribution of input and output data. Electronic sorting reduces the costs and risks associated with
connecting legacy control systems to generate revenue.</p>
      <p>Virtual input or output, as well as electronic routing, helps avoid tangled wires, allowing refineries
to go from distribution cabinets directly to virtual input or output directly to the controller panel.</p>
      <p>The main difference between the "ideal-abstract" system and the traditional one, while the essence
of the activity, the main technological process, as well as the goals of the production and processing
process remain unchanged, is a significant increase in productivity indicators at the same time. cost
reduction. New intelligent refining technologies help increase the efficiency of control room operators,
control engineers, and other service specialists.</p>
      <p>In some cases, gradual, phased implementation of reconstructions is possible. Failure to take such
measures means financial and technological problems, which entail an increase in the costs of operation
and maintenance, as well as a decrease in the profitable part of the enterprise.</p>
    </sec>
    <sec id="sec-9">
      <title>9. References</title>
      <p>[14] S. Fedushko, T. Ustyianovych, M. Gregus, Real-Time High-Load Infrastructure Transaction
Status Output Prediction Using Operational Intelligence and Big Data
Technologies. Electronics 2020, 9, 668. https://doi.org/10.3390/electronics9040668
[15] B. Xie, Z. Lin, J. Chen, I. Maizura, Application of artificial intelligence computer control
technology in management information system, in: 2021 IEEE International Conference on
Emergency Science and Information Technology (ICESIT), Chongqing, China, 2021, pp.
757760. doi: 10.1109/ICESIT53460.2021.9696613.
[16] The oil and gas sector. URL: https://arvengtraining.com/en/the-oil-gas-sector/.
[17] I. V.Sharf, Integral assessment of the efficiency of reproduction of the oil resource base:
regional aspect, Fundamentals research 6 (2019) 153-157.
[18] S. M. Kafka, Systems and methods of accounting for production costs of oil and gas
production enterprises, Economics: problems of theory and practice (2007) 899-906.
[19] R. Sheldon, Information lifecycle management. URL:
https://www.techtarget.com/searchstorage/definition/information-life-cycle-management.
[20] Report of the Department of Waste Management in the Lviv Region for 2018. URL:
https://city-adm.lviv.ua/lmrdownloads/zvitdppv2018.pdf.
[21] P. Yurchik, V. Golubkova, Design and operation of IAMM, 2018, pp. 4-8.
[22] S. Gnatyuk, T. Okhrimenko et al., Experimental Study of Secure PRNG for Q-trits Quantum
Cryptography Protocols, in: Proceedings of the 2020 IEEE 11th International Conference on
Dependable Systems, Services and Technologies, DESSERT 2020, 2020, pp. 183-188.
[23] M. Iavich, T. Kuchukhidze, S. Gnatyuk, A. Fesenko, Novel certification method for quantum
random number generators, International Journal of Computer Network and Information
Security 13(3) (2021) 28-38.
[24] S. Gnatyuk, Z. Hu, V. Sydorenko, M. Aleksander, et al., Critical aviation information systems:
Identification and protection, Cases on Modern Computer Systems in Aviation (2019) pp.
423448.
[25] Emerson.com – Smart refinery supplement. URL:
https://www.emerson.com/documents/automation/article-smart-refinery-en-37750.pdf.</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          <article-title>[1] Patterns of formation of the conjuncture and manipulation of the “invisible hand” of the oil market</article-title>
          . URL: http://eip.org.ua/docs/EP_16_1_95_uk.pdf.
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          <article-title>[2] Enterprise management information systems</article-title>
          . URL: http://lms.tpu.ru/ pluginfile.php/42666/mod_resource/content/0/IKT/g3/GLAVA_3.pdf.
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <given-names>R.</given-names>
            <surname>Luciano</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Torres</surname>
          </string-name>
          , E. Gomez,
          <string-name>
            <given-names>H.</given-names>
            <surname>Nacino</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Ramirez</surname>
          </string-name>
          ,
          <source>Medicine Management System: Its Design and Development</source>
          .
          <source>International Journal of Education and Management Engineering (IJEME)</source>
          , Vol.
          <volume>13</volume>
          , No.
          <issue>3</issue>
          , pp.
          <fpage>11</fpage>
          -
          <lpage>18</lpage>
          ,
          <year>2023</year>
          . DOI:
          <volume>10</volume>
          .5815/ijeme.
          <year>2023</year>
          .
          <volume>03</volume>
          .02
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <given-names>A.</given-names>
            <surname>Atik</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Mostakim</surname>
          </string-name>
          ,
          <string-name>
            <given-names>N.</given-names>
            <surname>Sarwar</surname>
          </string-name>
          ,
          <article-title>Design and Implementation of a Prototype of Piezo Transduced Intelligent Power Management System for Efficient Street Lighting</article-title>
          .
          <source>International Journal of Engineering and Manufacturing (IJEM)</source>
          , Vol.
          <volume>13</volume>
          , No.
          <issue>3</issue>
          , pp.
          <fpage>25</fpage>
          -
          <lpage>33</lpage>
          ,
          <year>2023</year>
          . DOI:
          <volume>10</volume>
          .5815/ijem.
          <year>2023</year>
          .
          <volume>03</volume>
          .03
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <given-names>S.</given-names>
            <surname>Alade</surname>
          </string-name>
          ,
          <article-title>Design and Implementation of a Web-based Document Management System</article-title>
          .
          <source>International Journal of Information Technology and Computer Science (IJITCS)</source>
          , Vol.
          <volume>15</volume>
          , No.
          <issue>2</issue>
          , pp.
          <fpage>35</fpage>
          -
          <lpage>53</lpage>
          ,
          <year>2023</year>
          . DOI:
          <volume>10</volume>
          .5815/ijitcs.
          <year>2023</year>
          .
          <volume>02</volume>
          .04
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <given-names>R.</given-names>
            <surname>Akbar</surname>
          </string-name>
          ,
          <string-name>
            <given-names>D.</given-names>
            <surname>Purnama</surname>
          </string-name>
          ,
          <article-title>LMS analysis using IPA Matrix for Web Applications</article-title>
          .
          <source>International Journal of Education and Management Engineering (IJEME)</source>
          , Vol.
          <volume>13</volume>
          , No.
          <issue>2</issue>
          , pp.
          <fpage>10</fpage>
          -
          <lpage>17</lpage>
          ,
          <year>2023</year>
          . DOI:
          <volume>10</volume>
          .5815/ijeme.
          <year>2023</year>
          .
          <volume>02</volume>
          .02
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <given-names>I.</given-names>
            <surname>Jenyo</surname>
          </string-name>
          ,
          <string-name>
            <given-names>E.</given-names>
            <surname>Amusan</surname>
          </string-name>
          ,
          <string-name>
            <given-names>J.</given-names>
            <surname>Emuoyibofarhe</surname>
          </string-name>
          ,
          <string-name>
            <given-names>A Trust</given-names>
            <surname>Management</surname>
          </string-name>
          <article-title>System for the Nigerian Cyberhealth Community</article-title>
          .
          <source>International Journal of Information Technology and Computer Science (IJITCS)</source>
          , Vol.
          <volume>15</volume>
          , No.
          <issue>1</issue>
          , pp.
          <fpage>9</fpage>
          -
          <lpage>20</lpage>
          ,
          <year>2023</year>
          . DOI:
          <volume>10</volume>
          .5815/ijitcs.
          <year>2023</year>
          .
          <volume>01</volume>
          .02
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <given-names>S.</given-names>
            <surname>Turgay</surname>
          </string-name>
          ,
          <article-title>Blockchain Management and Federated Learning Adaptation on Healthcare Management System</article-title>
          .
          <source>International Journal of Intelligent Systems and Applications (IJISA)</source>
          , Vol.
          <volume>14</volume>
          , No.
          <issue>5</issue>
          , pp.
          <fpage>1</fpage>
          -
          <lpage>13</lpage>
          ,
          <year>2022</year>
          . DOI:
          <volume>10</volume>
          .5815/ijisa.
          <year>2022</year>
          .
          <volume>05</volume>
          .01
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <article-title>Global oil and natural gas markets: tougher competition</article-title>
          . URL: https://www.imemo.ru/files/File/ru/publ/2017/2017_004.pdf.
        </mixed-citation>
      </ref>
      <ref id="ref10">
        <mixed-citation>
          [10]
          <string-name>
            <given-names>J.</given-names>
            <surname>Zhou</surname>
          </string-name>
          ,
          <article-title>Application of Computer information management technology in engineering cost information manage-ment</article-title>
          ,
          <source>in: 2021 International Conference on Computer Information Science and Artificial Intelligence (CISAI)</source>
          , Kunming, China,
          <year>2021</year>
          , pp.
          <fpage>1031</fpage>
          -
          <lpage>1034</lpage>
          . doi:
          <volume>10</volume>
          .1109/CISAI54367.
          <year>2021</year>
          .
          <volume>00206</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref11">
        <mixed-citation>
          [11]
          <string-name>
            <given-names>S.</given-names>
            <surname>Gnatyuk</surname>
          </string-name>
          ,
          <string-name>
            <given-names>T.</given-names>
            <surname>Okhrimenko</surname>
          </string-name>
          ,
          <string-name>
            <given-names>M.</given-names>
            <surname>Iavich</surname>
          </string-name>
          ,
          <string-name>
            <given-names>R.</given-names>
            <surname>Berdibayev</surname>
          </string-name>
          ,
          <article-title>Intruder control mode simulation of deterministic quantum cryptography protocol for depolarized quantum channel</article-title>
          ,
          <source>in: Proceedings of the 2019 IEEE International Scientific-Practical Conference on Problems of Infocommunications Science and Technology, PIC S and T</source>
          <year>2019</year>
          ,
          <year>2019</year>
          , pp.
          <fpage>825</fpage>
          -
          <lpage>828</lpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref12">
        <mixed-citation>
          [12]
          <string-name>
            <given-names>L.</given-names>
            <surname>Xu</surname>
          </string-name>
          ,
          <string-name>
            <given-names>W.</given-names>
            <surname>Yu</surname>
          </string-name>
          ,
          <source>Computer Information Management Database System based on Genetic Algorithm, in: 2022 IEEE 2nd International Conference on Electronic Technology, Communication and Information (ICETCI)</source>
          , Changchun, China,
          <year>2022</year>
          , pp.
          <fpage>1229</fpage>
          -
          <lpage>1232</lpage>
          . doi:
          <volume>10</volume>
          .1109/ICETCI55101.
          <year>2022</year>
          .
          <volume>9832304</volume>
          .
        </mixed-citation>
      </ref>
      <ref id="ref13">
        <mixed-citation>
          [13]
          <string-name>
            <given-names>N.</given-names>
            <surname>Zhang</surname>
          </string-name>
          , H. Duan,
          <article-title>Research of Information Management System by Big Data Algorithm and Computer visualization</article-title>
          , in: 2021
          <source>IEEE International Conference on Emergency Science and Information Technology (ICESIT)</source>
          , Chongqing, China,
          <year>2021</year>
          , pp.
          <fpage>593</fpage>
          -
          <lpage>596</lpage>
          . doi:
          <volume>10</volume>
          .1109/ICESIT53460.
          <year>2021</year>
          .
          <volume>9696680</volume>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>