Title :
Real-time data reconciliation solutions for big data problems observed in oil refineries
Author :
Bahr, Mustafa ; Aydogan, Burak ; Aydin, M. ; Khodabakhsh, Ali ; An, Ismail ; Ercan, Ali Ozer
Abstract :
Refineries are giant industrial facilities where tons of crude oil is turned into fuel oil and other chemical by-products through different chemical processes every day. In this article, we discuss big data problems specifically obserbed in sensor-heavy oil refineries (volume, velocity, variety, veracity) and suggest real-time data validation and reconciliation (DVR) solutions fit for these environments.
Keywords :
Big Data; crude oil; oil refining; petroleum; production engineering computing; production facilities; DVR solution; big data problem; chemical by-products; chemical process; crude oil; fuel oil; industrial facility; real-time data reconciliation solution; real-time data validation and reconciliation; sensor-heavy oil refinery; Conferences; Data mining; Oil refineries; Petroleum; Real-time systems; Signal processing;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830553
