2020
DOI: 10.52716/jprs.v10i4.364
|View full text |Cite
|
Sign up to set email alerts
|

A model-based machine learning to develop a PLC control system for Rumaila degassing stations

Abstract: Degassing station breakdowns can be dangerous to the operator health and the environment. Programmable logic controllers (PLCs) are key modules of manufacturing control systems that are applied in the complex oil and gas units to reduce manpower and unnecessary faults. However, feeding a PLC with data is a difficult part due to the need of system log files which records all events that occur in the oil fields and provide visibility to a given environment. Moreover, most critical chemical processing plants and … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 15 publications
0
1
0
Order By: Relevance
“…To develop a monitoring system for the specific domain of the petroleum industry was the scope of many research works [13]. It was more attractive to introduce new solutions to a particular area of the industry than a full-scale solution itself.…”
Section: Introductionmentioning
confidence: 99%
“…To develop a monitoring system for the specific domain of the petroleum industry was the scope of many research works [13]. It was more attractive to introduce new solutions to a particular area of the industry than a full-scale solution itself.…”
Section: Introductionmentioning
confidence: 99%