Real-time data reconciliation solutions for big data problems observed in oil refineries

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.