Published March 1, 2023 | Version Version_V1

Dataset for "Predicting the electrical conductivity of partially saturated frozen porous media, a fractal model for wide ranges of temperatures and salinities"

  • 1. Sorbonne Université, CNRS, UMR 7619 METIS, FR-75005 Paris, France
  • 2. School of Civil Engineering, Central South University, Shaoshan South Road No. 68, Changsha, Hunan Province, 410075, China
  • 3. Laboratoire de Géologie, Ecole Normale Supérieure, Paris, France
  • 4. Thuyloi University, 175 Tay Son, Dong Da, Ha Noi, Vietnam

Description

This dataset supports the research study "Predicting the electrical conductivity of partially saturated frozen porous media, a fractal model for wide ranges of temperatures and salinities" by H. L. Luo, D. Jougnot, A. Jost, J. D. Teng, A. Mendieta, G. Lin, and L. D. Thanh.
We provide the experimental data of electrical condutivity and unfrozen water saturation with different initial water saturations and salinities. Meanwhile, we also offer the matlab code for calculating the predicted values of electrical conductivity and apparent formation factor.

Each file has its header, describing each column.

 

Files

A1_Readme file.txt

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