• DocumentCode
    1981388
  • 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
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Firstpage
    1
  • Lastpage
    4
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ITAPP.2010.5566481
  • Filename
    5566481