Abstract
Based on the percolation network model characterizing reservoir rock’s pore structure and fluid characteristics, this paper qualitatively studies the effects of pore size, pore shape, pore connectivity, and the amount of micropores on the I-S w curve using numerical modeling. The effects of formation water salinity on the electrical resistivity of the rock are discussed. Then the relative magnitudes of the different influencing factors are discussed. The effects of the different factors on the I-S w curve are analyzed by fitting simulation results. The results show that the connectivity of the void spaces and the amount of micropores have a large effect on the I-S w curve, while the other factors have little effect. The formation water salinity has a large effect on the absolute resistivity values. The non-Archie phenomenon is prevalent, which is remarkable in rocks with low permeability.
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This project is sponsored by National Natural Science Foundation of China, No. 40574030.
First Author
Wang Kewen, PhD student at China University of Petroleum (east china), received bachelor degree in application physics from University of Petroleum (East China) in 2002. His research interests are microcosmic simulation of reservoir characteristics and its applications.
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Wang, K., Sun, J., Guan, J. et al. Percolation network modeling of electrical properties of reservoir rock. Appl. Geophys. 2, 223–229 (2005). https://doi.org/10.1007/s11770-005-0028-2
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DOI: https://doi.org/10.1007/s11770-005-0028-2