Percolation network modeling of electrical properties of reservoir rock

被引:3
作者
Kewen Wang
Jianmeng Sun
Jiteng Guan
Yuanda Su
机构
[1] China University of Petroleum,College of Geo
[2] College of Physics Science and Technology China University of Petroleum,Resources and Information
关键词
rock resistivity; saturation exponent; network modeling; reservoir characteristics;
D O I
10.1007/s11770-005-0028-2
中图分类号
学科分类号
摘要
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-Sw 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-Sw 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-Sw 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.
引用
收藏
页码:223 / 229
页数:6
相关论文
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