• DocumentCode
    3074958
  • Title

    Automatic Fit of the Variogram

  • Author

    Li, Shaohua ; Lu, Wentao

  • Author_Institution
    Coll. of Earth Sci., Yangtze Univ., Jingzhou, China
  • Volume
    4
  • fYear
    2010
  • fDate
    4-6 June 2010
  • Firstpage
    129
  • Lastpage
    132
  • Abstract
    The automatic fit of the experimental variogram is a difficult problem of geostatistics. In order to solve the fitting problem, an improved linear programming method is presented in this paper. In combination with the advantages of weighted polynomial method and linear programming method, the new method uses the inverse of lag distance as weight coefficient. We can rationally estimate the parameters of a spherical model by this method. For illustration, an example is utilized to show the feasibility of the improved method in solving the fitting problem. Empirical results show that the fittd curve of spherical theoretical model, which is obtained by this method, is more representative of the experimental variogram values. The improved linear programming method can effectively solve the automatic fitting problem of the experimental variogram, and a uniform and objective estimation of optimal parameters will be obtained by this method.
  • Keywords
    geophysical techniques; linear programming; statistical analysis; experimental variogram; fitting problem; geostatistics; lag distance; linear equation set; linear programming method; optimal parameters; spherical theoretical model; weight coefficient; weighted polynomial method; Curve fitting; Educational institutions; Equations; Geology; Geoscience; Least squares methods; Linear programming; Parameter estimation; Polynomials; Predictive models; geostatistics; lag distance; linear equation set; linear programming; variogram;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing (ICIC), 2010 Third International Conference on
  • Conference_Location
    Wuxi
  • Print_ISBN
    978-1-4244-7081-5
  • Electronic_ISBN
    978-1-4244-7082-2
  • Type

    conf

  • DOI
    10.1109/ICIC.2010.303
  • Filename
    5514035