The Bayesian bridge between simple and universal kriging

Journal Article · Sun Oct 01 00:00:00 EDT 1989 · Mathematical Geology; (USA)

DOI:https://doi.org/10.1007/BF00893321· OSTI ID:6019679

Omre, H; Halvorsen, K B ^[1]

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1. Norwegian Computing Center, Oslo (Norway)

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.

• OSTI ID: 6019679
• Journal Information: Mathematical Geology; (USA), Vol. 21:7; ISSN 0882-8121
• Country of Publication: United States
• Language: English

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02 PETROLEUM
NORTH SEA
PETROLEUM DEPOSITS
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DEPTH
FORECASTING
GEOLOGIC MODELS
MAPPING
MAPS
OIL WELLS
PARAMETRIC ANALYSIS
PROBABILISTIC ESTIMATION
RANDOMNESS
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GEOLOGIC DEPOSITS
GEOPHYSICAL SURVEYS
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SEAS
SIMULATION
STATISTICS
SURFACE WATERS
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& Exploration