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)
| Parent link: | IOP Conference Series: Materials Science and Engineering Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012087, 7 p.] |
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| Streszczenie: | 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". |
| Język: | angielski |
| Wydane: |
2021
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| Hasła przedmiotowe: | |
| Dostęp online: | http://earchive.tpu.ru/handle/11683/64577 https://doi.org/10.1088/1757-899X/1019/1/012087 |
| Format: | Elektroniczne Rozdział |
| KOHA link: | https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663593 |
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| 200 | 1 | |a High-level architecture for a digital oilfield: features of the transition to data-driven decision management |f A. O. Savelyev | |
| 203 | |a Text |c electronic | ||
| 300 | |a Title screen | ||
| 320 | |a [References: 14 tit.] | ||
| 330 | |a 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". | ||
| 461 | 1 | |0 (RuTPU)RU\TPU\network\2008 |t IOP Conference Series: Materials Science and Engineering | |
| 463 | 0 | |0 (RuTPU)RU\TPU\network\34482 |t Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019) |o October 14-17, 2019, Tomsk, Russia |f National Research Tomsk Polytechnic University (TPU) ; eds. R. V. Ostvald, D. Gvozdeva, A. S. Ryabikina |v [012087, 7 p.] |d 2021 | |
| 610 | 1 | |a электронный ресурс | |
| 610 | 1 | |a труды учёных ТПУ | |
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| 610 | 1 | |a данные | |
| 610 | 1 | |a цифровые месторождения | |
| 610 | 1 | |a архитектура | |
| 610 | 1 | |a принятие решений | |
| 610 | 1 | |a интеллектуальные методы | |
| 700 | 1 | |a Savelyev |b A. O. |c Specialist in the field of informatics and computer technology |c Associate Professor of Tomsk Polytechnic University, Candidate of Technical Sciences |f 1987- |g Aleksey Olegovich |3 (RuTPU)RU\TPU\pers\31388 |9 15560 | |
| 712 | 0 | 2 | |a Национальный исследовательский Томский политехнический университет |b Инженерная школа информационных технологий и робототехники |c 2017- |x TPU |7 ca |8 rus |9 28330 |
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| 856 | 4 | |u http://earchive.tpu.ru/handle/11683/64577 | |
| 856 | 4 | |u https://doi.org/10.1088/1757-899X/1019/1/012087 | |
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