Title :
Forecasting Model of Investment in Upstream Business of Oil Companies
Author :
Wang, Qing ; Wei, Xinqiang ; Yang, Qing ; Zhao, Jing
Author_Institution :
Sch. of Bus. Adm., China Univ. of Pet. (Beijing), Beijing, China
Abstract :
It is important for most oil companies to focus on the core assets which are oil and gas reserves so as to avoid risk posed by some factors such as oil prices and costs, etc. This paper will set up a model related to investment in upstream business based on system dynamics principles and predict the size and structure of investment in upstream business with computer simulation method. It demonstrates that system dynamics can be applied to forecasting oil companies´ upstream investment as a new method and offer bases for decision-making.
Keywords :
decision making; digital simulation; forecasting theory; investment; petroleum industry; computer simulation method; decision-making; investment forecasting model; oil companies; system dynamics principles; upstream business; Biological system modeling; Companies; Computational modeling; Feedback loop; Investments; Petroleum;
Conference_Titel :
Internet Technology and Applications, 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-5142-5
Electronic_ISBN :
978-1-4244-5143-2
DOI :
10.1109/ITAPP.2010.5566481