Well Conditioning in Object Models |
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Authors: | Ragnar Hauge Lars Holden and Anne Randi Syversveen |
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Institution: | (1) Norwegian Computing Center, P.O. Box 114, 0314 Oslo, Norway |
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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. |
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Keywords: | Stochastic modelling Object model Well conditioning Metropolis– Hastings |
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