Using informative priors in facies inversion: The case of C-ISR method
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文摘

An extension of Iterative Spatial Resampling is proposed for Bayesian inversion.

C-ISR works by narrowing the prior and producing improved proposal realizations.

The mechanism relies on cosimulation of system parameters with the state variables.

A linear coregionalization model is assumed.

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