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Real-time data reconciliation solutions to big data problems in refineries

Title	Real-time data reconciliation solutions to big data problems in refineries
Author	Bakır, M., Aydoğan, B., Aydin, M., Khodabakhsh, Athar, Arı, İsmail, Ercan, Ali Özer
Publication Date:	2014
Publication Place	- IEEE
Subject	Data mining, Oil refineries, Petroleum, Real-time systems, Signal processing
Type	Document
Language	Turkish
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	2-s2.0-84903786225
Record ID	9f2ebe29-5691-4a31-8e16-40fb5860f3a3
Library Location	Electrical & Electronics Engineering, Computer Science
Date	2014
Notes	Due to copyright restrictions, the access to the full text of this article is only available via subscription.
Sample Text	Refineries are giant industrial facilities where tons of crude oil are converted into gasoline and other by-products through different chemical processes every day. "In this article, industrial big data problems specific to sensor-based oil refineries (volume velocity diversity inconsistency) are identified and real-time data verification and reconciliation solutions suitable for these environments are presented."
DOI	10.1109/SIU.2014.6830553

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Özyeğin University

Real-time data reconciliation solutions to big data problems in refineries

Author Bakır, M., Aydoğan, B., Aydin, M., Khodabakhsh, Athar, Arı, İsmail, Ercan, Ali Özer

Publication Date 2014

Publication Place - IEEE

Subject Data mining, Oil refineries, Petroleum, Real-time systems, Signal processing

Type Document

Language Turkish

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 2-s2.0-84903786225

Record ID 9f2ebe29-5691-4a31-8e16-40fb5860f3a3

Library Location Electrical & Electronics Engineering, Computer Science

Date 2014

Notes Due to copyright restrictions, the access to the full text of this article is only available via subscription.

Sample Text Refineries are giant industrial facilities where tons of crude oil are converted into gasoline and other by-products through different chemical processes every day. "In this article, industrial big data problems specific to sensor-based oil refineries (volume velocity diversity inconsistency) are identified and real-time data verification and reconciliation solutions suitable for these environments are presented."

DOI 10.1109/SIU.2014.6830553