Title :
High performance online key performance indicator´s calculations in oil refineries
Author :
Bakir, Mustafa ; Sevilgen, Fatih Erdogan
Author_Institution :
Surec Gelistirme ve Yazilim Mudurlugu, TUPRAr Genel Mudurluk, Turkey
Abstract :
It is critical in Oil Refineries to monitor the process online by several departments with respect to various perspectives. Key performance indicators generated by conversion of sensor - based measurements into meaningful data fulfill this requirement. However, the performance indicators must be provided to the users online. In this article, we discuss code optimization and parallelization of key performance indicator´s calculation. By using these methods we obtained %96 improvement against the initial algorithm and %55 improvement against the optimal sequential algorithm in the performance of the system.
Keywords :
oil refining; optimisation; petroleum industry; code optimization; high performance online key performance indicator; oil refineries; parallelization; Big data; Business; Libraries; Monitoring; Oil refineries; Optimization; Petroleum;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129847