• DocumentCode
    2231174
  • Title

    Peak depth correction of logging curves based on Hausdorff distance

  • Author

    Shang, Fuhua ; Wang, Hui ; Ma, Nan

  • Author_Institution
    Dept. of Comput. & Inf. Technol., Northeast Pet. Univ., Daqing, China
  • Volume
    4
  • fYear
    2010
  • fDate
    20-22 Aug. 2010
  • Abstract
    An effective method of peak depth correction based on the Hausdorff distance is put forward in this paper. The automatic identification of logging curve peak made up the blank of automated processing of logging curve peak depth correction. In this method, the reasonable peak is selected by using the extremum and variable sequence analysis method, and the position of similar curve segment is selected according to the bidirectional Hausdorff distance, then the best matching peak is defined through computing the unidirectional Hausdorff distance. Finally, the peak depth correction of logging curves is computed. The experimental results demonstrate that the method of peak depth correction has better speed and high accuracy, and it provides reliable and accurate data for petroleum reservoir development.
  • Keywords
    hydrocarbon reservoirs; mathematical analysis; petroleum industry; well logging; automated processing; automatic identification; bidirectional Hausdorff distance; logging curve; peak depth correction; petroleum reservoir development; unidirectional Hausdorff distance; variable sequence analysis method; Book reviews; Hausdorff Distance; natural gamma curve; peak depth correction; variable sequence analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Theory and Engineering (ICACTE), 2010 3rd International Conference on
  • Conference_Location
    Chengdu
  • ISSN
    2154-7491
  • Print_ISBN
    978-1-4244-6539-2
  • Type

    conf

  • DOI
    10.1109/ICACTE.2010.5579667
  • Filename
    5579667