• DocumentCode
    2160141
  • Title

    Correlation methods of base-level cycle based on wavelet neural network

  • Author

    Xu, Xiangjun ; Xu, Xingke ; Wenqing, Li

  • Author_Institution
    College of Earth Sciences, Jilin University, Changchun, China
  • fYear
    2010
  • fDate
    4-6 Dec. 2010
  • Firstpage
    4456
  • Lastpage
    4458
  • Abstract
    A method of wavelet neural network (WNN) for correlation of base-level cycle is given. Wavelet neural network is introduced first. Then, a new method of Vectored of well logs is proposed. Through the training which causes the wavelet neural network memories the cycle pattern characteristic of the curve, and using the trained wavelet neural network to identify the memory cycle pattern of the well vectored group to be processed, thus realizes the contrast between the well cycles. Real application indicates that it is highly efficient and reliable in base-level cycle correlation.
  • Keywords
    Artificial neural networks; Correlation; Earth; Educational institutions; Geology; Wavelet analysis; Wavelet transforms; base-level cycle; stratigraphic correlation; vectored; wavelet neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2010 2nd International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4244-7616-9
  • Type

    conf

  • DOI
    10.1109/ICISE.2010.5691713
  • Filename
    5691713