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Variograms and Structural Analysis

  • Margaret Armstrong
  • Alain G. Galli
  • Gaëlle Le Loc’h
  • François Geffroy
  • Rémi Eschard

Abstract

This chapter describes how to calculate experimental variograms for the facies and how to fit models to them. As the codes chosen to represent the facies are purely conventional and have no physical meaning (except for their ordering), the only representative numbers we can use to compute experimental variograms are the facies indicators. (The relationship between the facies indicators and the underlying gaussian values is not one-to-one, so we cannot back transform the indicator values to get the values of the gaussians). There is a theoretical relation linking the variograms of the underlying gaussians and those of the indicators. Rather than invert it, we use an indirect iterative procedure to fit a variogram model. But first, we show how to calculate the experimental variograms for the facies indicators.

Keywords

Gaussian Function Stationary Case Variogram Model Experimental Variograms Practical Range 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Margaret Armstrong
    • 1
  • Alain G. Galli
    • 1
  • Gaëlle Le Loc’h
    • 1
  • François Geffroy
    • 1
  • Rémi Eschard
    • 2
  1. 1.Centre de GéostatistiqueEcole des Mines de ParisFontainebleauFrance
  2. 2.Institut Français du PétroleRueil MalmaisonFrance

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