title: ÐÑÐ¾ÐµÐºÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¸ÑÑÐµÐ¼Ñ Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐ¿ÑÐ°Ð²Ð»ÐµÐ½ÑÐµÑÐºÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹ Ð´Ð»Ñ Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ Ð½ÐµÑÑÐµÐ´Ð¾Ð±ÑÑÐ¸
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Designing decision support system for an oil production enterprise
Creators: name: Ð¤ÐµÐ´ÑÐµÐ²ÑÐºÐ°Ñ, ÐÐ°ÑÑÑ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: ÑÐ¸ÑÑÐµÐ¼Ð° Ð¿Ð¾Ð´Ð´ÐµÑÐ¶ÐºÐ¸ Ð¿ÑÐ¸Ð½ÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ð¹
Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ðµ Ð½ÐµÑÑÐµÐ´Ð¾Ð±ÑÑÐ¸
Ð°ÑÑ Ð¸ÑÐµÐºÑÑÑÐ° Ð¿ÑÐµÐ´Ð¿ÑÐ¸ÑÑÐ¸Ñ
Archimate
ÑÐ¸ÑÑÐ¾Ð²Ð¸Ð·Ð°ÑÐ¸Ñ Ð¢Ð­Ð
Ð±Ð¸Ð·Ð½ÐµÑ-Ð¸Ð½ÑÐ¾ÑÐ¼Ð°ÑÐ¸ÐºÐ°
decision support system
oil production enterprise
enterprise architecture
digitalization of fuel and energy complex
business informatics

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description: The purpose of the research is designing a decision support system for the decision-making process on the field development plan Tasks of the work: - analysis of the specifics of the enterprise; - analysis of the companys business-processes in the current state and identification of âbottlenecksâ; - development of a decision support system model. The research was carried out on the basis of R&amp;D Laboratory âIndustrial Systems foe Streaming Data Processingâ of the "Digital Engineering" Advanced Engineering School, SPbPU. Research methods: system and business-analysis, business-engineering. The main results of the study: is a developed model of the enterprise architecture; identified "bottlenecks" of the decision-making process that affect the efficiency of the process; a model of the architecture of the decision support system for the oil production enterprise, models of the target states of IT and business layers of the enterprise architecture have been developed. The practical significance of the work is determined by the possibility of using the designed architecture of the decision support system at oil production enterprises of any composition by considering the typical characteristics of the enterprise inherent in many organizations of the chosen field. Conclusions. The developed architecture model makes it possible to increase the efficiency of the decision-making process on the field development plan, which is necessary in the current market conditions, by reducing the time spent on the process, as well as increasing the quality of decisions made by integrating the analytical blocks of the system with the scenario optimizer.