DocumentCode
709166
Title
Decision support in the automated future: an analysis from the rig site
Author
Gundersen, Odd Erik
Author_Institution
Dept. of Comput. Sci., Norwegian Univ. of Sci. & Technol., Trondheim, Norway
fYear
2015
fDate
9-12 March 2015
Firstpage
206
Lastpage
212
Abstract
The oil and gas industry is moving towards automating the drilling process, and a lot of research and practical experiments are performed to achieve this. In this paper, the hypothesis “Automation of the drilling process will eliminate the need for online decision support” is investigated. This is an interesting hypothesis to investigate as it is a common hypothesis in the drilling community. The investigation is based on an analysis of the drilling process, literature about situation awareness, decision support and automation in the oil and gas drilling industry. The analysis shows that with increased automation, the situation awareness of the drillers is reduced, and thus the need for decision support systems that can enhance the situation awareness is increased.
Keywords
gas industry; natural gas technology; oil drilling; petroleum industry; production engineering computing; decision support systems; drilling process automation; gas drilling industry; oil drilling industry; rig site; situation awareness; Automation; Decision support systems; Drilling machines; Industries; Personnel; Real-time systems; Safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2015 IEEE International Inter-Disciplinary Conference on
Conference_Location
Orlando, FL
Type
conf
DOI
10.1109/COGSIMA.2015.7108199
Filename
7108199
Link To Document