Updated: 2025-12-17
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0224U032012, 0121U113584 , R & D reports
Scientific bases of construction of intelligent information technologies of control and management of objects and processes of oil and gas engineering on the basis of methods of databases, knowledge bases and cloud storages
Sheketa Vasyl I., Доктор технічних наук
12-07-2024
Ivano-Frankivsk National University of Oil and Gas
Purpose: development of scientific foundations for the creation of intelligent information systems that provide effective control and management of objects and processes in oil and gas engineering. These systems must use modern technologies of databases, knowledge bases and cloud storage to process large volumes of data, automate processes, increase the accuracy and speed of decision-making, as well as ensure the reliability and security of information. Research object: intelligent information control and management systems used in oil and gas engineering. This includes technical means and software used to collect, store, process and analyze data related to oil and gas facilities and processes; oil and gas engineering processes, such as drilling, extraction, transportation and storage of oil and gas, which require monitoring and management; informative technologies, including databases, knowledge bases and cloud storage, that ensure the functioning of these systems; data processing methods and algorithms used to analyze large amounts of information and make decisions in real time; information security technologies in the context of cloud computing and data processing in the oil and gas industry. Research methods that should be used for the development of intelligent information systems of control and management in oil and gas engineering include literature analysis and review of existing solutions, which involves a systematic analysis of scientific publications, technical documentation, patents and existing solutions in the field of information systems for oil and gas engineering; mathematical modeling for the development of mathematical models describing oil and gas engineering processes and their dynamics; methods of processing big data (Big Data), which include the collection, storage, processing and analysis of large volumes of data to identify patterns and trends; machine learning and artificial intelligence for the development of forecasting algorithms and
Bandura Victoriia V.
Bestylnyi Mykhailo Ya.
Vavryk Tetiana O.
Hobyr Lidiia M.
Hryhorchuk Liubomyr I.
Dmytryk Taras В.
Kornuta Volodymyr A.
Krykhivskyi Mykhailo V.
Liutak Ihor Z.
Liutak Zinovii P.
Melnyk Vitalii D.
Mykhailiuk Iryna R.
Nezamai Borys S.
Pikh Mariia M.
Pasieka Mykola S.
Pasieka Nadiia M.
Protsiuk Vasyl R.
Protsiuk Halyna Ya.
Romanyshyn Taras L.
Samaniv Liubov V.
Tymkiw Dmytro F.
Khrabatyn Roman I.
Tsareva Oleksandra S.
Chesanovskyi Mykola S.
Sheketa Vasyl I.
Yurchyshyn Volodymyr M.
2024-07-12
Updated: 2025-12-17
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