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High-level Architecture For a Digital Oilfield: Features of the Transition to Data-driven Decision Management

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Заглавие High-level Architecture For a Digital Oilfield: Features of the Transition to Data-driven Decision Management
 
Автор Savelyev, Aleksey Olegovich
 
Тематика business analytics
data mining
decision-making
digital oilfield
бизнес-аналитика
интеллектуальный анализ
данные
принятие решений
нефтяные месторождения
цифровые месторождения
 
Описание 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".
 
Дата 2020-01-23T09:13:03Z
2020-01-23T09:13:03Z
2019
 
Тип Conference Paper
Published version (info:eu-repo/semantics/publishedVersion)
Conference paper (info:eu-repo/semantics/conferencePaper)
 
Идентификатор Savelyev A. O. High-level Architecture For a Digital Oilfield: Features of the Transition to Data-driven Decision Management / A. O. Savelyev // 14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk : TPU Publishing House, 2019. — [С. 162-166].
http://earchive.tpu.ru/handle/11683/57464
 
Язык en
 
Связанные ресурсы 14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk, 2019.
 
Права Open access (info:eu-repo/semantics/openAccess)