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Mathematical Geology

, Volume 39, Issue 4, pp 383–398 | Cite as

Well Conditioning in Object Models

  • Ragnar Hauge
  • Lars Holden
  • Anne Randi Syversveen
Article

Abstract

This paper presents two object models with corresponding simulation algorithms, which aim to condition well data correctly while still converging in reasonable time. The first model is devoted to fluvial channels and the second one is mainly intended for smaller objects. To verify the conditioning, a method for validating well conditioning algorithms for object models is given. The purpose is to determine the extent to which the well conditioning introduces a bias in the models. To do this, we check that the double expectation of a parameter conditioned to wells is equal to the unconditional expectation. This method is applied to two different object models. Both the conditioning algorithms presented here give good results using this test.

Keywords

Stochastic modelling Object model Well conditioning Metropolis–Hastings 

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Copyright information

© International Association for Mathematical Geology 2007

Authors and Affiliations

  • Ragnar Hauge
    • 1
  • Lars Holden
    • 1
  • Anne Randi Syversveen
    • 1
  1. 1.Norwegian Computing CenterOsloNorway

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