DocumentCode
2264947
Title
An Inteligent Agent-Based Virtual Game for Oil Drilling Operators Training
Author
Brasil, Igor Saraiva ; Neto, Francisco Milton Mendes ; Chagas, José Ferdinandy Silva ; de Lima, Rodrigo Monteiro ; Souza, Daniel Faustino Lacerda ; Bonates, Mara Franklin ; Dantas, Andre
Author_Institution
Rural Fed. Univ. of the Semi-Arid, Mossoro, Brazil
fYear
2011
fDate
23-26 May 2011
Firstpage
9
Lastpage
17
Abstract
Oil exploration has become a steadily growing business. This is due to the ever increasing demand for oil derivates in the international market. The extraction of this mineral, however, is not an easy process. It poses many hazards which may threaten the environment and the lives of workers at an oil well. In order to reduce the chances of accidents and failures, a continued training to the workers is highly recommended. This paper presents a game which simulates a drilling rig. This game, the players are exposed to various circumstances in which they can exercise their knowledge about their work and learn what to do in troublesome events. Artificial Intelligence techniques will be applied to the game in order to accomplish that feature. The application will also include instant interactions among several players in a virtual 3D environment. The game is a web-based, which allows players to remotely execute it on different platforms.
Keywords
artificial intelligence; computer based training; computer games; cooperative systems; international trade; oil drilling; virtual reality; Web-based game; accident chance; artificial intelligence technique; drilling rig; instant interaction; inteligent agent-based virtual game; international market; mineral extraction; oil derivate; oil drilling operator training; oil exploration; troublesome event; virtual 3D environment; Collaboration; Electronic learning; Games; Servers; Training; Virtual environment; educative games; multi-agent systems; virtual reality;
fLanguage
English
Publisher
ieee
Conference_Titel
Virtual Reality (SVR), 2011 XIII Symposium on
Conference_Location
Uberlandia
Print_ISBN
978-1-4577-0661-5
Electronic_ISBN
978-0-7695-4445-8
Type
conf
DOI
10.1109/SVR.2011.13
Filename
5951830
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