High-level architecture for a digital oilfield: features of the transition to data-driven decision management / A. O. Savelyev

Уровень набора: (RuTPU)RU\TPU\network\2008, IOP Conference Series: Materials Science and EngineeringОсновной Автор-лицо: Savelyev, A. O., Specialist in the field of informatics and computer technology, Engineer of Tomsk Polytechnic University, 1987-, Aleksey OlegovichКоллективный автор (вторичный): Национальный исследовательский Томский политехнический университет, Инженерная школа информационных технологий и робототехники, Отделение информационных технологийЯзык: английский.Резюме или реферат: This paper is devoted to the design of a distributed heterogeneous data warehouse of a digital oilfield. With increasing amounts of data collected from intelligent controllers and sensors, the lack of mechanisms for combining data from different sources and providing them to consumers affect the overall management efficiency. In addition, without it is impossible making the next logical step - the effective application of intelligent analysis methods. The paper describes the high-level architecture, as well as subsystems of operational management and decision support. The presented data are intermediate results of the project "Digital oilfield heterogeneous distributed data warehouse for informational support of decision-making processes"..Примечания о наличии в документе библиографии/указателя: [References: 14 tit.].Тематика: электронный ресурс | труды учёных ТПУ | месторождения | нефти | хранилища | данные | цифровые месторождения | архитектура | принятие решений | интеллектуальные методы Ресурсы он-лайн:Щелкните здесь для доступа в онлайн | Щелкните здесь для доступа в онлайн
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[References: 14 tit.]

This paper is devoted to the design of a distributed heterogeneous data warehouse of a digital oilfield. With increasing amounts of data collected from intelligent controllers and sensors, the lack of mechanisms for combining data from different sources and providing them to consumers affect the overall management efficiency. In addition, without it is impossible making the next logical step - the effective application of intelligent analysis methods. The paper describes the high-level architecture, as well as subsystems of operational management and decision support. The presented data are intermediate results of the project "Digital oilfield heterogeneous distributed data warehouse for informational support of decision-making processes".

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