An Analytical Algorithm of Porosity–Permeability for Porous and Fractured Media: Extension to Reactive Transport Conditions and Fitting via Flow-Through Experiments Within Limestone and Dolomite

Abstract

Accurate prediction of permeability evolution is essential for forecasting the long-term performance and lifetime of hydrothermal reservoirs, an important goal in the geothermal, ore, and petroleum industries.

Statistical Characterization of Heterogeneous Dissolution Rates of Calcite from In situ and Real-Time AFM Imaging

“…Proper assessment of reactive processes at solid-liquid interfaces is of critical importance for the characterization of flow and transport in porous media, as these drive possible alterations of key physical attributes of the hosting formation, such as porosity, permeability, or storage (Hommel et al 2018). As such, detailed knowledge of dissolution/precipitation reaction kinetics has relevant implications in several industrial and environmental contexts including, e.g., aquifer contamination (Bianchi Janetti et al 2013), geothermal energy exploitation (Erol et al 2019), enhanced (conventional and unconventional) management of subsurface energy resources (Khather et al 2020), or geological storage of CO 2 (Daval 2018). Calcite has been a major target of kinetic characterization studies, due to its widespread presence in geological environments and its affinity to incorporate trace elements in the solution, acting as a potential sink for heavy metals and pollutants (Heberling et al 2014;Renard et al 2019).…”