• DocumentCode
    498926
  • Title

    PCTR: An improved approach to digitizing well-logging parameter graph

  • Author

    Yang, Er-long

  • Author_Institution
    EOR Key Lab. of Minist. of Educ., Daqing, China
  • Volume
    3
  • fYear
    2009
  • fDate
    12-15 July 2009
  • Firstpage
    1799
  • Lastpage
    1804
  • Abstract
    According to the characteristics of well-logging graphs, we contribute a PCTR (preprocessing, compressing, tracing, and rectifying) approach to digitizing skeleton type of curves. The preprocessing algorithm is based on the biggest variance ratio. We employed line adjacency graph (LAG) data structure to develop the image-compressing algorithm, which compresses image file with great efficiency. The rectifying algorithms based on centimeter grid of coordinates, which perfectly rectify the distortion of parameter graph, are proposed. The experimental results show that the PCTR approach in the system can work effectively.
  • Keywords
    data compression; data structures; geophysical signal processing; graph theory; image coding; well logging; LAG data structure; PCTR; image-compressing algorithm; line adjacency graph; preprocessing, compressing, tracing, and rectifying approach; well-logging parameter graph; Cybernetics; Data structures; Image coding; Image processing; Impedance; Laboratories; Machine learning; Natural gas; Petroleum industry; Skeleton; Image compressing; Image processing; Line adjacency graph; Well-logging graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2009 International Conference on
  • Conference_Location
    Baoding
  • Print_ISBN
    978-1-4244-3702-3
  • Electronic_ISBN
    978-1-4244-3703-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2009.5212323
  • Filename
    5212323