High-level architecture for a digital oilfield: features of the transition to data-driven decision management; IOP Conference Series: Materials Science and Engineering; Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019)

High-level architecture for a digital oilfield: features of the transition to data-driven decision management; IOP Conference Series: Materials Science and Engineering; Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019)

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Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012087, 7 p.]
Hlavní autor: Savelyev A. O. Aleksey Olegovich
Korporativní autor: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Shrnutí:Title screen
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".
Jazyk:angličtina
Vydáno: 2021
Témata:
электронный ресурс
труды учёных ТПУ
месторождения
нефти
хранилища
данные
цифровые месторождения
архитектура
принятие решений
интеллектуальные методы
On-line přístup:http://earchive.tpu.ru/handle/11683/64577
https://doi.org/10.1088/1757-899X/1019/1/012087
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663593

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