Ensuring effective intersystem exchange of oil production data using software
Students Name: Vasylchyshyna Khrystyna Oleksandrivna
Qualification Level: magister
Speciality: Information Technology Design
Institute: Institute of Computer Science and Information Technologies
Mode of Study: full
Academic Year: 2022-2023 н.р.
Language of Defence: ukrainian
Abstract: Vasylchyshyna K. O., Farmaha I. V. (manager). Improvement of methods of intersystem exchange of oil production data. Master’s qualification work. - Lviv Polytechnic National University, Lviv, 2022. Extended abstract. The master’s thesis is devoted to the improvement of the methods of intersystem exchange of oil production data. To research and solve this problem, the data models of the AMOS system [1] and IFS [2] were studied in detail, the possibility of analyzing input data and their methods was considered [3], and the possibilities of data analysis by selected means were investigated [4, 5, 6]. The developed complex of software methods and tools ensures effective verification, analysis and transformation of data, in accordance with industry standards and requirements of the final system. Research object: the process of data analysis, transformation and verification, according to the standards of the oil production industry and data systems. Research object: the process of data analysis, transformation and verification, according to the standards of the oil production industry and data systems. Research subject: data model in two different systems, AMOS and IFS, in accordance with industry standards. The purpose of the research: development of a complex of software tools that will ensure the optimization of the processes of analysis and transformation of data from the equipment of the oil production industry when they are transferred from the AMOS ERP system to the IFS system, which are often used in the oil production industry. The way to improve the existing methods of working with data is to use an approach using a script language, since the main feature of the solution is the intersystem data exchange of the equipment of the oil production industry without using semi-manual methods of their conversion. Approbation of work results: the main provisions of the work were reported and discussed at the 59th Metallurgical Conference of AGH Student Scientific Societies. Keywords: oil equipment, data, data analysis, erp system, data exchange, database, scripts. References: 1. AMOS. ERP system for maintenance. [Electronic resource] - Access mode: https://amos-business-suite.software.informer.com/ 2. IFS. Global Enterprise Software Solution Provider. [Electronic resource] - Access mode: https://www.ifs.com/ 3. V.E. Bakhrushin DATA ANALYSIS METHODS. Tutorial. Zaporizhzhia, Classical Private University - 2011 - p. 110. 4. TechUkraine. The best Python libraries for data scientists. [Electronic resource] - Access mode: https://techukraine.net/python/ 5. QA Group. What is Selenium WebDriver? [Electronic resource] - Access mode: https://qagroup.com.ua/publications/shcho-take-selenium-webdriver/ 6. Knime. Documentation to KNIME. [Electronic resource] - Access mode: https://hub.knime.com/knime/extensions