Abstract
This paper considers a new method for “pore scale” oil reservoir rock quantitative estima-tion. The method is based on core sample X-ray tomography data analysis and can be directly used to both classify rocks by heterogeneity and assess representativeness of the core material collection. The proposed heterogeneity criteria consider the heterogeneity of pore size and heterogeneity of pore arrangement in the sample void and can thus be related to the drainage effectiveness. The classification of rocks by heterogeneity at the pore scale is also proposed when choosing a reservoir engineering method and may help us to find formations that are similar at pore scale. We analyzed a set of reservoir rocks of different lithologies using the new method that considers only tomographic images and clearly distributes samples over the structure of their pore space.
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Yazynina, I. V., Shelyago, E. V., Abrosimov, A. A., & Yakushev, V. S. (2021). New method of oil reservoir rock heterogeneity quantitative estimation from x-ray mct data. Energies, 14(16). https://doi.org/10.3390/en14165103
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