Conventional logs and borehole images are common sources of short-scale property data for the characterization of petroleum reservoirs. Short-scale properties are consequential for production performance purposes but are also representative of too small rock volumes for direct full-field modeling. Average, possibly facies-based, properties are generally derived and stochastic simulation methods are used to simulate them throughout the whole reservoir. The regionalization of short-scale property distribution functions is considered here to take into account the short-scale variability of data. The novelty of the proposed approach is to regionalize mixtures of distributions and to correlate them to secondary information. Application to simulate distributions of fracture-frequencies in a naturally fractured reservoir illustrates the approach.
CITATION STYLE
García, M., Allard, D., Foulon, D., & Delisle, S. (2005). Fine Scale Rock Properties: Towards the Spatial Modeling of Regionalized Probability Distribution Fuctions (pp. 579–589). https://doi.org/10.1007/978-1-4020-3610-1_59
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