1.1
1
xml
info:srw/schema/1/dc-v1.1
Analysis of Emergency Response for Accident of Oil and Gas Pipeline Based on Stochastic Petri Net
Yi Xiong
Weiping Si
Xia Wu
A. Tapia
P. Antunes
V.A. Bañuls
K. Moore
J. Porto
Emergency response plays an important role in reducing the loss of an accident. And the excellent plan is important to ensure the high efficiency of the emergency response system. However, actions of emergency response arranged in emergency plan can hardly be assessed before the plan is used. Stochastic Petri Net (SPN) is proposed to analyze the performance of emergency response for oil and gas pipeline accident. The results show that the average execution time of SPN model can be used to evaluate effectiveness of emergency response. Then place average mark number indicates that emergency decision-making is the most important segment to optimize emergency work flow. And utilization rate of transition shows that decreasing the cost time of maintenance is the key to improve efficiency of emergency response.
urn:ISBN:978-84-608-7984-20
openurl:?ctx_ver=Z39.88-2004&rfr_id=info%3Asid%2Fidl.iscram.org%2F&genre=proceeding&title=Analysis%20of%20Emergency%20Response%20for%20Accident%20of%20Oil%20and%20Gas%20Pipeline%20Based%20on%20Stochastic%20Petri%20Net&stitle=ISCRAM%202016&issn=2411-3399&isbn=978-84-608-7984-20&date=2016&aulast=Yi%20Xiong&au=Weiping%20Si&au=Xia%20Wu&pub=Federal%20University%20of%20Rio%20de%20Janeiro&place=Rio%20de%20Janeiro%2C%20Brasil&sid=refbase%3AISCRAM
url:http://idl.iscram.org/show.php?record=1339
citekey:YiXiong_etal2016
citation:Yi Xiong, Weiping Si, & Xia Wu. (2016). Analysis of Emergency Response for Accident of Oil and Gas Pipeline Based on Stochastic Petri Net. In A. Tapia, P. Antunes, V.A. Bañuls, K. Moore, & J. Porto (Eds.), ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management. Rio de Janeiro, Brasil: Federal University of Rio de Janeiro.
2016
ConferencePaper
text
Emergency Response
Oil and Gas Pipeline Accident
Performance
SPN
file:http://idl.iscram.org/files/yixiong/2016/1339_YiXiong_etal2016.pdf
Federal University of Rio de Janeiro
English
2411-3399
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
2016
1