Abstract
A predictive model correlating the parameters in the mass transfer-based model Spiegler–Kedem to the pure water permeability is presented in this research, which helps to select porous polyamide membranes for enhanced oil recovery (EOR) applications. Using the experimentally obtained values of flux and rejection, the reflection coefficient σ and solute permeability Ps have been estimated as the mass transfer-based model parameters for individual ions in seawater. The reflection coefficient and solute permeability determined were correlated with the pure water permeability of a membrane, which is related to the structural parameters of a membrane. The novelty of this research is the development of a model that consolidates the various complex mechanisms in the mass transfer of ions through the membrane to an empirical correlation for a given feed concentration and membrane type. These correlations were later used to predict ion rejections of any polyamide membrane with a known pure water permeability and flux with seawater as a feed that aids in the selection of suitable nanofiltration (NF) for smart water production.
Highlights
IntroductionNanofiltration (NF) membranes are pressure driven and selectively separate ions from mixed electrolyte solutes with low energy requirements compared to other desalination technologies
Nanofiltration (NF) membranes are pressure driven and selectively separate ions from mixed electrolyte solutes with low energy requirements compared to other desalination technologies.Smart water can be produced by modifying the ionic composition of seawater [1]
These correlations were later used to predict ion rejections of any polyamide membrane with a known pure water permeability and flux with seawater as a feed that aids in the selection of suitable nanofiltration (NF) for smart water production
Summary
Nanofiltration (NF) membranes are pressure driven and selectively separate ions from mixed electrolyte solutes with low energy requirements compared to other desalination technologies. Smart water can be produced by modifying the ionic composition of seawater [1]. Smart water for EOR in carbonate and sandstone reservoirs require different ionic compositions depending on reservoir properties. Divalent ion-rich brine is required for carbonates, whereas a salinity of less than 5000 ppm is preferred for sandstones [1]. Production of smart water from seawater using membranes and the resulting power consumption was discussed in detail in our previous research [2]. Selection of suitable membranes for smart water production is an extensive process. Predicting membrane ion rejection limited to a couple of steps will avoid intensive membrane experiments
Sign-in/Register to view highlights & summary 
Published Version (
Free)
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call