• DocumentCode
    3183747
  • Title

    Notice of Retraction
    On high-cost block analysis under sustainable development view

  • Author

    Xuena Xu ; Jinlan Liu ; Qingzhi Liu

  • Author_Institution
    Sch. of Bus., Ludong Univ., Yantai, China
  • fYear
    2011
  • fDate
    8-10 Aug. 2011
  • Firstpage
    5077
  • Lastpage
    5080
  • Abstract
    Notice of Retraction

    After careful and considered review of the content of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE´s Publication Principles.

    We hereby retract the content of this paper. Reasonable effort should be made to remove all past references to this paper.

    The presenting author of this paper has the option to appeal this decision by contacting TPII@ieee.org.

    Today, faced up with the frequent fluctuations in international oil prices, domestic oil enterprises must reduce costs as much as possible in order to enhance its ability of resisting risks. As the bottleneck in oil company´s development, high-cost block is even more important and difficult during management process. Therefore, study on high-cost blocks´ analysis and management countermeasure is conducted, using one oilfield as an example. Firstly, the principal component and cluster analysis model is applied for assessment and managerial focuses are accordingly pointed out. Then, according to the present production and management conditions influencing high cost level, an innovative management mode is promoted to meet the objective of reservoir management decision, which will continuously optimize oil company´s activity and build up a long-term mechanism of block sustainable development in future.
  • Keywords
    industrial economics; petroleum industry; principal component analysis; sustainable development; cluster analysis; domestic oil enterprise; high-cost block analysis; innovative management mode; international oil price; principal component analysis; reservoir management decision; sustainable development; Companies; Economics; Investments; Petroleum; Production; Reservoirs; Sustainable development; High-cost Block; Management Counterplot; Principal Component and Cluster Analysis; Reservoir Management; Sustainable Development;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
  • Conference_Location
    Dengleng
  • Print_ISBN
    978-1-4577-0535-9
  • Type

    conf

  • DOI
    10.1109/AIMSEC.2011.6011124
  • Filename
    6011124