Abstract
In the characterization of permeabilities in an oil reservoir, two main problems are identified: i) due to shortage of “hard” permeability data, “soft” information provided by other sources should be taken into account, ii) The non-additive nature of the variable does not allow for direct spatial inference.
To overcome jointly these usual difficulties, a new methodology, combining Correspondence Analysis and Multi-phase Simulation, is proposed. With the Correspondence Analysis technique, used as a qualitative regression tool, a grade of membership of each sample to a permeability class is assigned, constituting a soft data set. Based on the categorized hard and soft information, the all set of permeability classes is obtained, via a multi-phase simulation technique, reproducing, in the final maps, the volume proportions of each class and the contiguity architecture of the all set, as revealed by the multi-phase covariances.
The methodology was tested in a case study regarding an extensively recognized oil reservoir.
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© 1993 Kluwer Academic Publishers
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e Silva, A.C., Pereira, H.G., Soares, A., Almeida, J., Guterres, A. (1993). A New Approach for Permeability Classes Simulation in Undersampled Oil Reservoirs. In: Soares, A. (eds) Geostatistics Tróia ’92. Quantitative Geology and Geostatistics, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-1739-5_28
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DOI: https://doi.org/10.1007/978-94-011-1739-5_28
Publisher Name: Springer, Dordrecht
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