The Bayesian bridge between simple and universal kriging (original) (raw)

Abstract

Kriging techniques are suited well for evaluation of continuous, spatial phenomena. Bayesian statistics are characterized by using prior qualified guesses on the model parameters. By merging kriging techniques and Bayesian theory, prior guesses may be used in a spatial setting. Partial knowledge of model parameters defines a continuum of models between what is named simple and universal kriging in geostatistical terminology. The Bayesian approach to kriging is developed and discussed, and a case study concerning depth conversion of seismic reflection times is presented.

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Authors and Affiliations

1. Norwegian Computing Center, P.O.B. 114 Blindern, N-0314, Oslo 3, Norway
   Henning Omre & Kjetil B. Halvorsen

Authors

1. Henning Omre
2. Kjetil B. Halvorsen

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Omre, H., Halvorsen, K.B. The Bayesian bridge between simple and universal kriging.Math Geol 21, 767–786 (1989). https://doi.org/10.1007/BF00893321

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• Received: 18 January 1989
• Accepted: 12 April 1989
• Issue date: October 1989
• DOI: https://doi.org/10.1007/BF00893321

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