loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06)
Risk Analysis for Oil and Gas Exploration Project
Sydney Australia
November 28-December 01
ISBN: 0-7695-2731-0
ASCII Text
x 
 
Jinlan Liu, Yin Bai, Ying Yu, "Risk Analysis for Oil and Gas Exploration Project," Computational Intelligence for Modelling, Control and Automation, International Conference on, pp. 214, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006.
 
 
BibTex
x
 
@article{ 10.1109/CIMCA.2006.187,
author = {Jinlan Liu and Yin Bai and Ying Yu},
title = {Risk Analysis for Oil and Gas Exploration Project},
journal ={Computational Intelligence for Modelling, Control and Automation, International Conference on},
volume = {0},
year = {2006},
isbn = {0-7695-2731-0},
pages = {214},
doi = {http://doi.ieeecomputersociety.org/10.1109/CIMCA.2006.187},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computational Intelligence for Modelling, Control and Automation, International Conference on
TI - Risk Analysis for Oil and Gas Exploration Project
SN - 0-7695-2731-0
SP
EP
A1 - Jinlan Liu,
A1 - Yin Bai,
A1 - Ying Yu,
PY - 2006
KW - null
VL - 0
JA - Computational Intelligence for Modelling, Control and Automation, International Conference on
ER -
 
Jinlan Liu, Tianjin University,300072,China
Yin Bai, Tianjin University,300072,China
Ying Yu, Tianjin University,300072,China
In this paper, based on the characteristics of the oil and gas exploration project, the risk analysis method is a systematically studied. Firstly we analyze the shortcomings of existing risk analysis methodologies, set forth the further research direction in this field. Then the influence diagram algorithms are presented based on fuzzy theory. At last, the risks of a certain oil and gas exploration project are analyzed. The procedures and contents to structure and evaluate profit influence diagram are studied in the light of the reality. By means of the practical application, the effectiveness and feasibility of the methods are verified.
Citation:
Jinlan Liu, Yin Bai, Ying Yu, "Risk Analysis for Oil and Gas Exploration Project," cimca, pp.214, International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006
Usage of this product signifies your acceptance of the Terms of Use.