High-level architecture for a digital oilfield: features of the transition to data-driven decision management

High-level architecture for a digital oilfield: features of the transition to data-driven decision management

Dettagli Bibliografici
Parent link:	IOP Conference Series: Materials Science and Engineering Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012087, 7 p.]
Autore principale:	Savelyev A. O. Aleksey Olegovich
Ente Autore:	Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники Отделение информационных технологий
Riassunto:	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".
Lingua:	inglese
Pubblicazione:	2021
Soggetti:	электронный ресурс труды учёных ТПУ месторождения нефти хранилища данные цифровые месторождения архитектура принятие решений интеллектуальные методы
Accesso online:	http://earchive.tpu.ru/handle/11683/64577 https://doi.org/10.1088/1757-899X/1019/1/012087
Natura:	Elettronico Capitolo di libro
KOHA link:	https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663593

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