Abstract
Petrophysical characterization through pore network modeling has become a very active field in reservoir core analysis. The technique of X-ray microtomography allows an accurate imaging at the micrometer scale. But the engineer often faces a difficult choice – whether to resolve the heterogeneities directly influencing the petrophysical characteristics on the small volumes or to capture less resolved global tendencies on the statistically representative volumes. The idea of this work is to reconcile different scales by reconstructing the internal rock structures from the available scan images using multiple-point statistics method. This method was successfully used to reconstruct 3D pore network from 2D images. In this work we want to demonstrate on the real cases application how multiple-point statistics can be used to solve multi-scale and multi-support problem.
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Chugunova, T., Berthet, H. (2017). Pore Network Modeling from Multi-scale Imaging Using Multiple-Point Statistics. In: Gómez-Hernández, J., Rodrigo-Ilarri, J., Rodrigo-Clavero, M., Cassiraga, E., Vargas-Guzmán, J. (eds) Geostatistics Valencia 2016. Quantitative Geology and Geostatistics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-319-46819-8_32
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DOI: https://doi.org/10.1007/978-3-319-46819-8_32
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