A fractal model for the electrical conductivity of water-saturated porous media during mineral precipitation-dissolution processes

被引：40

作者：

Rembert, Flore ^{[1
]}

Jougnot, Damien ^{[1
]}

Guarracino, Luis ^{[2
]}

机构：

[1] Sorbonne Univ, CNRS, UMR METIS 7619, FR-75005 Paris, France

[2] Univ Nacl La Plata, Fac Ciencias Astron & Geofis, CONICET, Paseo Bosque S-N, RA-1900 La Plata, Argentina

来源：

ADVANCES IN WATER RESOURCES | 2020年 / 145卷

关键词：

Electrical conductivity; Fractal model; Dissolution and precipitation processes; Carbonate rocks; Permeability; PERMEABILITY PREDICTION; RESISTIVITY TOMOGRAPHY; INDUCED POLARIZATION; FLOW PROPERTIES; KARST AQUIFER; PORE-SIZE; GROUNDWATER; SURFACE; DIFFUSION; TRANSPORT;

D O I：

10.1016/j.advwatres.2020.103742

中图分类号：

TV21 [水资源调查与水利规划];

学科分类号：

081501 ;

摘要：

Precipitation and dissolution are prime processes in carbonate rocks and being able to monitor them is of major importance for aquifer and reservoir exploitation or environmental studies. Electrical conductivity is a physical property sensitive both to transport phenomena of porous media and to dissolution and precipitation processes. However, its quantitative use depends on the effectiveness of the petrophysical relationship to relate the electrical conductivity to hydrological properties of interest. In this work, we develop a new physically-based model to estimate the electrical conductivity by upscaling a microstructural description of water-saturated fractal porous media. This model is successfully compared to published data from both unconsolidated and consolidated samples, or during precipitation and dissolution numerical experiments. For the latter, we show that the permeability can be linked to the predicted electrical conductivity.

引用

页数：14