Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
8125844 | Journal of Petroleum Science and Engineering | 2016 | 11 Pages |
Abstract
The interpretation of the electrical conductivity (Ïmix) of natural sand deposits, which contain varying amounts of fine-grained soils, is very complicated due to the presence of surface conduction. Therefore, the aim of this study is to evaluate/estimate the electrical conductivity of sand-kaolinite mixed soils with varying weight fraction of clay particles (CF=0-100%) at varying pore water conductivities (Ïw=0.013-3.356Â S/m). The electrical conductivity formulas, including the original Archie's equation and three frequently used equations for clayey sands (i.e. the Waxman-Smits model, bicomponent model, and modified Archie's equation), were reviewed, and a number of electrical conductivity measurements on sand-kaolinite mixtures were performed in this study using a modified oedometer cell equipped with a 4 electrodes conductivity probe. The results of this study demonstrate that the measured Ïmix of tested sand-kaolinite mixed soils increases considerably with an increase in CF at low Ïw, while it does not increase at high Ïw, reflecting both an increase in surface conduction with an increase in CF and the insignificance of surface conduction at high Ïw. The comparison between the experimental results of this study and the three previous Ïmix estimating formulas for clayey sands demonstrates that the modified Archie's equation proposed by Glover et al. (2000) gives the most dependable estimate of Ïmix of tested sand-clay mixed soils. Finally, the matrix conductivity in the modified Archie's equation is empirically expressed as a function of the cation exchange capacity of soils in this study.
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Authors
Hyunwook Choo, Jaewon Song, Woojin Lee, Changho Lee,