Quantitative interpretation of seismic data for reservoir rock and fluid properties commonly relies on deterministic rock physics relations and may often neglect statistical variability or spatial correlation. Geostatistical methods, on the other hand, take into account spatial dependence but results are often obtained without properly formalizing rock physics relations between seismic measurements and rock and fluid properties. This paper presents a strategy for integrating deterministic rock physics relations and spatial, statistical representations within a Bayesian framework.

Data from the turbidite Glitne Field in the North Sea (Figure 1) provide an example for the approach. Because the reservoir is...

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