Browsing by Author "Kulynych, Yurii"

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    Design of innovative management information system
    (NGO European Scientific Platform, 2024-02-16) Krasniuk, Maksym; Краснюк, Максим Тарасович; Kulynych, Yurii; Krasnyuk, Svitlana; Honcharenko, Svitlana
    The changes that have taken place in the Ukrainian economy in recent years due to the consistent impact of global macroeconomic, epidemiological and regional military factors of the crisis - actualized for enterprises and corporations a complex reorganization of their management systems, an integral component of which are adaptive innovative information systems [1]. On the basis of the above information, it is possible to draw a preliminary conclusion regarding the importance of such reengineering of the information system of an oil and gas company, the result of which will be an increase in the efficiency of managing the integral complex of business processes of an oil and gas company, which will lead to an increase in the production of own hydrocarbons in Ukraine, a decrease in their cost price, an improvement raw material base of the gas and oil industry [2, 3]. The scientific and practical results presented in the article regarding the design of management information systems should be taken into account when reengineering corporate information systems not only in the oil and gas industry in Ukraine. Moreover, the obtained results are relevant and applicable not only for local companies, but also for international applications in the context of global, regional macroeconomic and current national crisis phenomena.
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    E-business and e-commerce technologies as an important factor for economic efficiency and stability in the modern conditions of the digital economy (on the example of oil and gas company)
    (NGO European Scientific Platform, 2022-07-22) Krasniuk, Maksym; Краснюк, Максим Тарасович; Kulynych, Yurii; Tuhaienko, Viktoriia; Krasniuk, Svitlana
    The article proves that a necessary factor for increasing economic efficiency of an oil & gas company is the use of Internet technologies, in particular, in support of management decision-making. The advantages and disadvantages of using internet technologies in the oil & gas industry, its specificities, are studied. Recommendations for each possible direction of application of internet technologies in DSS in the oil & gas company are outlined. The trends, ways of improvement and practical recommendations identified by the authors should be taken into account during further theoretical research and practical implementation (or reengineering) of DSS systems in Ukraine for industrial corporations (ie, not only for oil and gas companies). The obtained results are relevant and applicable not only for local companies and organizations, but also for international applications in the context of global, regional macroeconomic and current national crisis phenomena.
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    Economic and mathematical modeling of an oil and gas production company as an integrated complex specific system
    (Видавнича група «Наукові перспективи», 2022) Krasniuk, Maksym; Краснюк, Максим Тарасович; Kulynych, Yurii; Кулинич, Юрій Михайлович; Hrashchenko, Iryna; Гращенко, Ірина Семенівна; Honcharenko, Svitlana; Гончаренко, Світлана Миколаївна; Krasniuk, Svitlana; Краснюк, Світлана Олександрівна
    The following factors were studied and taken into account in the process of economic and mathematical modeling of an oil and gas company as a complete complex specific system: a significant inertia of a management object; multi-level management structure; irregularity of a management system of an oil and gas company; a need to decompose the system along the weakest lines of communication "vertically" and "horizontally" and build economic and mathematical models of smaller dimensions for each selected element. Determining an algorithm that connects economic and mathematical models of the technological, tactical and strategic management levels of an oil and gas company is a very difficult task. Economic and mathematical modeling of the technological level of an oil and gas company should contribute to management of functioning of main technological objects of the oil and gas production: to ensure optimal modes of operation under the selected optimality criteria; must take into account the parallel-sequential flow of operations and is the most studied level of an economic and mathematical management of an oil and gas company. Economic and mathematical modeling of the tactical level of management of an oil and gas company as optimality criteria involves maximizing profit and minimizing integral costs; and can be formalized in the form of economic and mathematical models of the following interconnected blocks: geological and industrial, production, transport and economic. Economic and mathematical modeling of the strategic level of an oil and gas company should reflect the strategic goal of the development of a company and the industry. The basis for building an economic and mathematical model of an oil and gas production company is the choice of optimality criterion, which characterizes the entire activity of the company for a certain period of time, in particular, the criterion of maximum profit. However, for making cost-effective decisions in the management of complex systems (an oil and gas production company) in the conditions of a sharp change in market prices, this criterion is impractical. Since economic efficiency does not necessarily mean high profitability, that is, in the conditions of constant changes in the world economy, the most stable position in a long term is the system characterized by maximum efficiency, and not profitability, which also depends on random factors (constant price fluctuations on the energy carrier is the norm of the modern world economy). Objectively, it turned out that the most developed issues of economic and mathematical modeling of the strategic level of management are for processing industries, not extractive ones. Therefore, when building economic and mathematical models of a strategic planning level of an oil and gas production company, researchers face difficulties caused by the specifics of the industry, in particular: product stocks for a given field are always limited; a production cost of 1 ton of conventional hydrocarbon fuel from one field increases significantly during its life cycle; it is difficult to determine the degree of detailing of the models. The use of economic and mathematical modeling in managerial processes on the part of the information system of an oil and gas production company faces sociological, political and other limitations, which an experienced manager should take into account when making a final decision. The main task of the oil and gas production complex is to ensure production and a growing renewal of hydrocarbon reserves. The problem of improving quality of a balance of explored reserves should be solved by an oil and gas company by opening new fields, features of which largely determine the specifics of planning, organization of a process and a material and technical base of work, determination of the industrial value of explored reserves, etc. The economic indicators of effectiveness of work on development of discovered reserves should include the amount of capital investments, operating costs, cost of production, profit, profitability, payback period, etc. To determine the total profit of an oil and gas company from the development of reserves, the system of criteria and economic indicators of a subsoil is used. Which is used at all stages of prospecting and development of reserves for: - substantiating economic feasibility of carrying out work on the search and exploration of oil and gas deposits; - establishment of a valuation of recoverable hydrocarbon reserves; - ranking of individual prospective plots into groups according to economic criteria and a sequence of their development; - forecasting of oil and gas prices, taking into account the level of forecasted cumulative specific costs for preparation and development of reserves and expected profit. Making managerial decisions regarding investment projects of an oil and gas company requires determining the value of underground reserves (resources) and is characterized by a set of indicators that generally reflect the comparison of expected (obtained) results with necessary costs for participants in a geological exploration process. In the article, the concept of economic and mathematical modeling of an oil and gas company as a complete complex specific system was further developed. The main factors and limitations are taken into account, the specifics of economicmathematical modeling of oil and gas company management at the technological, tactical and strategic levels are investigated. У процесі економіко-математичного моделювання нафтогазового підприємства як цілісної комплексної специфічної системи досліджувалися та враховувалися такі фактори: значна інертність об’єкта управління; багаторівнева структура управління; невідлагодженість системи управління нафтогазовою компанією; необхідність декомпозиції системи по найслабших лініях зв'язку «по вертикалі» і «горизонталі» і побудови економіко-математичних моделей меншої розмірності для кожного обраного елемента. Визначення алгоритму, що зв’язує економіко-математичні моделі технологічного, тактичного та стратегічного рівнів управління нафтогазовою компанією, є дуже складним завданням. Економіко-математичне моделювання технологічного рівня нафтогазового підприємства має сприяти управлінню функціонуванням основних технологічних об’єктів нафтогазовидобутку: забезпечити оптимальні режими роботи за обраними критеріями оптимальності; має враховувати паралельно-послідовний перебіг операцій і є найбільш вивченим рівнем економіко-математичного управління нафтогазовою компанією. Економіко-математичне моделювання тактичного рівня управління нафтогазовим підприємством як критерій оптимальності передбачає максимізацію прибутку та мінімізацію інтегральних витрат; і можуть бути формалізовані у вигляді економіко-математичних моделей наступних взаємопов’язаних блоків: геолого-промислового, виробничого, транспортно-економічного. Економіко-математичне моделювання стратегічного рівня нафтогазової компанії має відображати стратегічну мету розвитку компанії та галузі. Основою побудови економіко-математичної моделі нафтогазовидобувного підприємства є вибір критерію оптимальності, який характеризує всю діяльність підприємства за певний період часу, зокрема, критерію максимального прибутку. Однак для прийняття економічно ефективних рішень в управлінні складними системами (нафтогазовидобувною компанією) в умовах різкої зміни ринкових цін цей критерій є недоцільним. Оскільки економічна ефективність не обов’язково означає високу рентабельність, тобто в умовах постійних змін у світовій економіці найбільш стабільну позицію в довгостроковій перспективі має система, яка характеризується максимальною ефективністю, а не прибутковістю, яка також залежить від випадкових факторів. (постійні коливання цін на енергоносій є нормою сучасної світової економіки). Об’єктивно виявилося, що найбільш розробленими є питання економіко-математичного моделювання стратегічного рівня управління для переробних галузей, а не видобувних. Тому при побудові економіко-математичних моделей рівня стратегічного планування нафтогазовидобувної компанії дослідники стикаються з труднощами, зумовленими специфікою галузі, зокрема: запаси продукції для даного родовища завжди обмежені; собівартість видобутку 1 тонни умовного вуглеводневого палива з одного родовища значно зростає протягом життєвого циклу; складно визначити ступінь деталізації моделей. Використання економіко-математичного моделювання в управлінських процесах з боку інформаційної системи нафтогазовидобувної компанії стикається з соціологічними, політичними та іншими обмеженнями, які досвідчений менеджер повинен враховувати при прийнятті остаточного рішення. Основним завданням нафтогазовидобувного комплексу є забезпечення видобутку та зростаюче відновлення запасів вуглеводнів. Проблема підвищення якості балансу розвіданих запасів нафтогазової компанії повинна вирішуватися шляхом відкриття нових родовищ, особливості яких значною мірою визначають специфіку планування, організації процесу та матеріально-технічної бази роботи, визначення промислове значення розвіданих запасів і т. д. Економічні показники ефективності робіт з розробки виявлених запасів повинні включати обсяг капітальних вкладень, експлуатаційні витрати, собівартість продукції, прибуток, рентабельність, термін окупності і т. д. Для визначення загального прибутку нафтогазової компанії від розробки запасів використовується система критеріїв та економічних показників надр. Який використовується на всіх етапах пошуку та розробки запасів для: - обґрунтування економічної доцільності проведення робіт з пошуку та розвідки родовищ нафти і газу; - встановлення оцінки видобувних запасів вуглеводнів; - ранжування окремих перспективних ділянок на групи за економічними ознаками та послідовність їх освоєння; - прогнозування цін на нафту і газ з урахуванням рівня прогнозованих сукупних питомих витрат на підготовку і розробку запасів та очікуваного прибутку. У статті отримано подальший розвиток концепції економіко-математичного моделювання нафтогазового підприємства як цілісної комплексної специфічної системи. Враховано основні фактори та обмеження, досліджено специфіку економіко-математичного моделювання управління нафтогазовим підприємством на технологічному, тактичному та стратегічному рівнях.
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    Efficiency of evolutionary algorithms in solving optimization problems on the example of the fintech industry
    (NGO European Scientific Platform, 2022-05-27) Kulynych, Yurii; Krasniuk, Maksym; Краснюк, Максим Тарасович; Krasniuk, Svitlana
    The pandemic forced companies to rebuild business processes in an accelerated mode. Now they pay more attention to web products and work with customers in the virtual space. The financial technology market (FinTech) is getting bigger and more diverse every day. Financial news website Market Screener reports that the global FinTech market will be worth $26.5 trillion by 2022, with a compound annual growth rate of 6%. In Europe alone, the use of FinTech increased by 72% in 2020. The competition in this market segment is also growing. In the first eleven months of 2021, more than 26,300 startups have joined the fray, more than double the number of new entrants just three years earlier. As the competition for customer engagement and loyalty heats up, FinTech players need to reach out to a much larger audience optimally distributed across ever-growing geographies. Monitoring and managing business operations is becoming increasingly complex as the number of customer accounts and financial transactions continues to grow. Therefore, more solutions are needed to address the challenges associated with financial IT. Therefore, the focus should be on algorithms and methods that help FinTech companies optimize all stages of their activities, from customer acquisition to payment processing and payout forecasting. In all aspects of a business, there is little room for errors, unexpected failures, or downtime. Performance optimization is the key to success in this industry. The explosion of activity caused by all these companies generates a huge amount of Structured and Unstructured Big Financial Data about customers and payments, as well as information about the underlying business processes. The deep analytics hidden in this data can help companies optimize payment approval rates, transaction costs and reduce the risk of fraud, as well as customer retention and accelerate revenue growth. The above determines the acquisition of competitive advantages not only for FinTech corporations and companies, both regionally and globally, which is especially true in times of crisis. The article comprehensively explores the following topical issues: problems, features and prospects of effective optimization tasks in modern conditions, critical issues of theory and practice of Evolutionary Computations (including financial management), the specifics of effective use of Genetic Algorithms in information systems of FinTech companies. The above trends and peculiarities of the application of Evolutionary Computations in general and Genetic Algorithms in particular should be taken into account in further research and practical projects and real projects of effective implementation and use of Data Mining and Artificial Inelligence technologies in FinTech information systems. The obtained results are relevant and applicable not only for local companies, but also for international applications in the context of global, national and regional (not only economic, but also pandemic, military, natural disaster etc) crisis phenomena.
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    Innovative management information system in post-crisis economic conditions on emerging markets (on the example of the oil and gas industry)
    (Mezinárodní Ekonomický Institut s.r.o., 2023) Krasniuk, Maksym; Краснюк, Максим Тарасович; Kulynych, Yurii; Hrashchenko, Iryna; Krasniuk, Svitlana; Honcharenko, Svitlana; Chernysh, Tetiana
    The formation and development of the oil and gas industry in any region (country) of the world is primarily related to the volume of forecast hydrocarbon resources, the state of explored hydrocarbon reserves and is determined by a number of technological, economic, organizational, political and other factors. Ukraine is no exception – one of the oldest oil and gas producing countries in the world. Before starting the analysis, we need to define some terms that we will use in this subsection: - proven hydrocarbon reserves are known volumes of hydrocarbons that can be profitably extracted using existing technology; - unexplored traditional resources – oil and gas resources that are explored by oil and gas companies with developed technologies and that can be profitably extracted/developed using the existing traditional practice of hydrocarbon development; - unconventional resources – oil and gas resources that exist outside well-defined traps; - resources obtained due to the growth of deposits – resourcesthat are expected to be added to the explored reserves of the deposit due to: physical expansion of the boundaries of the deposit, development of new horizons, more careful calculation and evaluation of deposit reserves based on mining experience and changes in the relationship between price and costs; application of new technologies and methods of search, development, extraction of hydrocarbons and processing of relevant information. To a large extent, the listed factors depend on innovations, which are difficult to predict. In addition, these factors are complex and interrelated, and therefore difficult to analyze individually. Thus, the assessment of the possible future increase in reserves should be based on the empirical projection of past patterns.
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    Intelligence analytical subsystem of corporate management (on the example of an oil & gas company)
    (NGO European Scientific Platform, 2024-03-15) Krasniuk, Maksym; Краснюк, Максим Тарасович; Hrashchenko, Iryna; Kulynych, Yurii; Sydorenko, Tetiana; Krasnyuk, Svitlana
    The changes that have taken place in the Ukrainian economy in recent years due to the consistent impact of global macroeconomic, epidemiological and military factors of the current deep crisis - actualized for enterprises and corporations a complex adaptive reorganization of their analytical subsystem of their management [1, 2]. In addition, in order to be consistently effective in today's global business environment (liberalization of markets, their globalization, increased competition, decreasing consumer loyalty, constant variation in oil and gas prices, etc.), oil and gas companies must have an innovative data and knowledge environment that allows seamless and effective joint leveraging knowledge inside the corporation and across the value chain [3]. The application of knowledge-based decision support systems as an important tool of innovative management policy enables effective and sustainable management of a complex of integrated processes of an oil and gas production company (mitigating the impact of crisis factors) [4]. The scientific and practical results presented in the article regarding the methodology and design of innovative analytical subsystem of the corporation management information systems should be taken into account when reengineering corporate information systems not only in the oil and gas industry in Ukraine [5-6]. Moreover, the obtained results are relevant and applicable not only for local companies, but also for international corporations on emerging markets in the context of global and regional macroeconomic and edipemical crisis phenomena.
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    Intelligent management of an innovative oil and gas producing company under conditions of the modern system crisis
    (ACCESS Press, 2023-09) Krasniuk, Maksym; Краснюк, Максим Тарасович; Hrashchenko, Iryna; Honcharenko, Svitlana; Krasniuk, Svitlana; Kulynych, Yurii
    This publication presents the part of the research results and practical results obtained by the authors regarding the hybrid use of economic-mathematical modelling, knowledge-oriented decision support technology of an oil and gas production company using fuzzy logical inference. The purpose of this research is the development of theoretical provisions of modelling and knowledge-oriented decision support means at the macro level of oil and gas production companies. The purpose of the work determined the solution of the following tasks: - development of science-based recommendations regarding the architecture of a knowledge-oriented DSS of an oil and gas company, the basic model of knowledge presentation, features of the logical conclusion mechanism, etc.; - development of a complex system of economic and mathematical support for decision-making at the macro level of an oil and gas production company in modern economic conditions. The object of the study is the oil and gas production industry. The subject of the research is information processes, economic-mathematical models and knowledge-oriented methods and means of supporting the adoption of management decisions at the strategic level on economic and production issues of the domestic oil and gas production project. Methods/Approach: Economic and mathematical methods, methods of artificial intelligence, methods of logical generalization, expert evaluations and situational approach are used to solve the tasks set in the work. Results: The main scientific result of the work consists in the creation of the concept that allows creating a hybrid DSS of an oil and gas company on the basis of the developed systems of economic and mathematical decision-making support at the macro level of an oil and gas production company, focused on knowledge of technology and intelligent technologies. Conclusions: The scientific, theoretical and applied practical solutions proposed in this publication are universal for implementation by both state and private oil and gas resident and non-resident companies for emerging markets, however, in order for a specific oil and gas company to obtain special additional competitive advantages over others, additional industry-specific Big Data Analysis of collected and stored heuristics, expertise and project development are required.
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    Knowledge discovery and data mining of structured and unstructured business data: problems and prospects of implementation and adaptation in crisis conditions
    (NGO European Scientific Platform, 2022-04-29) Krasniuk, Maksym; Краснюк, Максим Тарасович; Kulynych, Yurii; Krasniuk, Svitlana
    In modern conditions of the development of the global economy and in connection with the emergence of new branches of economic activity in the field of IT, the phenomenon of Structured and Unstructured Big Data – the use of Data Science for advanced in-depth analysis of data and knowledge in all possible modes – leads to competitive advantages for corporations and institutions, both at the regional and interstate levels, which is especially relevant in the context of the current macroeconomic and military crisis. The following topical issues are systematically investigated in the article: current status and prospects for further development of Knowledge Discovery in Data Base (KDD), problems and critical issues of theory and practice of Data Mining, the specifics of effective use of Knowledge Discovery in DB (Data Base) in the current crisis in Ukraine. The above trends and features of the KDD market should be taken into account in further theoretical research and practical implementation or reengineering of KDD systems in Ukraine. The obtained results are relevant and applicable not only for local companies and organizations, but also for international applications in the context of global, regional macroeconomic and current national crisis phenomena.
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    Technological and tactical subsystems of the intelligent management information system (on the example of an oil and gas corporation)
    (NGO European Scientific Platform, 2024-03-15) Krasniuk, Maksym; Краснюк, Максим Тарасович; Kulynych, Yurii; Hrashchenko, Iryna; Krasnyuk, Svitlana; Honcharenko, Svitlana; Denysenko, Vitalina
    Providing Ukraine with its own oil and natural gas is one of the main tasks of the national economy. The possibility of development of the oil and gas industry is primarily determined by the volume of explored and mined resources. Since the existing explored reserves will not ensure the growth of oil and gas production, it is necessary to increase the amount of investments in the exploration and development of new deposits and hydrocarbon deposits with the aim of increasing their reserves and further growth of production, which requires the adoption of management decisions, which are characterized by increased technological and economic risk, uncertainty. Taking into account the main reasons for the decline in oil and gas production in Ukraine, the specifics of the industry and the requirements for information systems in the oil and gas industry, it can be argued that the use of intelligent technologies not only at the strategic, but also at the tactical and technological levels of management - is one of the keys to success in creating/reengineering, implementation and effective use of management decision support systems. The scientific and practical results presented in the article regarding the innovative configurations of architecture and design, proposed intellectual methodology for tactical and technological subsystems of the corporation management information systems. The above-proposed solutions - should be taken into account when reengineering corporate information systems not only in the oil and gas industry in Ukraine [1-3]. Moreover, the obtained results are relevant and applicable not only for local companies, but also for international corporations on emerging markets in the context of global and regional macroeconomic and military crisis phenomena.
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    Економіко-математичні показники та моделі в проєктному менеджменті нафтогазової компанії
    (Видавнича група «Наукові перспективи», 2024) Краснюк, Максим Тарасович; Krasniuk, Maksym; Цалко, Тетяна Ростиславівна; Tsalko, Tetiana; Невмержицька, Світлана Миколаївна; Nevmerzhytska, Svitlana; Кулинич, Юрій Михайлович; Kulynych, Yurii
    Нафтогазова галузь – це важлива галузь економіки України, вплив якої на функціонування і розвиток всієї держави є без заперечно важливим. Але сьогодні Україна відноситься до енергодефіцитних країн. Нафтогазова промисловість України (з значними обсягами нерозвіданих ресурсів нафти та газу, із собівартістю нафти і газу в декілька разів нижчою від світових цін, наявністю значної кількості нафтових і газових промислів, бурових і геофізичних підприємств, нафтопереробних заводів, розгалуженої сітки нафтогазопроводів, висококваліфікованих виробничих колективів) все ще дозволяє при їх ефективному використанні не тільки стабілізувати, а й збільшити видобуток нафти та газу. Важливою причиною падіння обсягів видобутку нафти та газу є спадаюча ефективність управління складним циклом множини паралельних і послідовних бізнес-процесів вітчизняної нафтогазової компанії: розвідка родовищ, їх облаштування та розробка, видобуток та реалізація вуглеводнів. Таким чином, важливим результатом економічного аналізу української нафтогазової галузі (з врахуванням важливості підтримання тенденції зростання запасів родовищ, щоб підтримувати видобуток в регіонах з значно розвіданими надрами) - є висновок, що необхідне не тільки впровадження інновацій у технології розвідки і видобутку вуглеводнів, але і подальше підвищення ефективності проєктного менеджменту нафтогазових компаній через удосконалення комплексного економіко-математичного аналізу та моделювання. Доведено, що ці чинники впливають на забезпечення приросту запасів нафти та газу та подальшої інтенсифікації їх видобутку. Саме тому, в даній статті концептуально викладені результати досліджень та удосконалень множини економіко-математичних моделей та показників необхідних при прийнятті управлінських рішень з економічних та виробничих питань нафтогазовидобувної компанії, зокрема для: обґрунтування економічної доцільності проведення робіт з пошуків та розвідки родовищ нафти та газу; встановлення вартісної оцінки видобувних запасів вуглеводнів; ранжування окремих перспективних ділянок на групи за економічними критеріями і черговістю їх освоєння; прогнозування цін на нафту і газ, враховуючи рівень прогнозних сукупних питомих витрат на підготовку та освоєння запасів та очікуваного прибутку. Наведені в статті науково-практичні результати щодо удосконалення системи економіко-математичних моделей та показників необхідних при прийнятті управлінських проєктних рішень з економічних та виробничих питань нафтогазовидобувної компанії актуальні та ефективні не лише для місцевих компаній, а й для міжнародних застосувань у регіонах із значним рівнем вивченості надр. The oil and gas industry is an important sector of the Ukrainian economy, the impact of which on the functioning and development of the entire state is undoubtedly important. But today Ukraine is one of the energy-deficient countries. The oil and gas industry of Ukraine (with significant volumes of unexplored oil and gas resources, with the cost of oil and gas several times lower than world prices, the presence of a significant number of oil and gas fields, drilling and geophysical enterprises, oil refineries, an extensive network of oil and gas pipelines, and highly qualified production teams) still allows, with their effective use, not only to stabilize but also to increase oil and gas production. An important reason for the decline in oil and gas production is the declining efficiency of managing the complex cycle of a set of parallel and sequential business processes of a domestic oil and gas company: exploration of deposits, their arrangement and development, production and sale of hydrocarbons. Thus, an important result of the economic analysis of the Ukrainian oil and gas industry (taking into account the importance of maintaining the trend of growth of field reserves in order to maintain production in regions with significantly explored subsoil) is the conclusion that it is necessary not only to introduce innovations in hydrocarbon exploration and production technology, but also to further increase the efficiency of project management of oil and gas companies through the improvement of complex economic and mathematical analysis and modeling. It has been proven that these factors affect the provision of oil and gas reserves growth and further intensification of their production. That is why this article conceptually presents the results of research and improvements of a set of economic and mathematical models and indicators necessary for making management decisions on economic and production issues of an oil and gas producing company, in particular for: substantiating the economic feasibility of conducting oil and gas field exploration and exploration works; establishing the cost estimate of recoverable hydrocarbon reserves; ranking of individual promising areas into groups according to economic criteria and the order of their development; forecasting prices for oil and gas, taking into account the level of forecasted total unit costs for the preparation and development of reserves and expected profit. The scientific and practical results presented in the article on improving the system of economic and mathematical models and indicators necessary for making management project decisions on economic and production issues of an oil and gas producing company are relevant and effective not only for local companies, but also for international applications in regions with a significant level of subsoil knowledge.
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    Ефективна інтеграція орієнтованої на знання концепції бізнес-правил в рамках управляючої інтелектуальної корпоративної інформаційної системи
    (Центр фінансово-економічних наукових досліджень, 2022) Кулинич, Юрій Михайлович; Kulynych, Yurii; Краснюк, Максим Тарасович; Krasniuk, Maksym