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Modeling Scale Formation and Optimizing Scale-Inhibitor Dosages

Authors: Robert J. Ferguson; Baron R. Ferguson; Robert F. Stancavage;

Modeling Scale Formation and Optimizing Scale-Inhibitor Dosages

Abstract

AbstractBecause of its reliance on simple indices for scale prediction, inhibitor selection, and dosage estimation, water chemistry design and treatment software currently used for membrane systems is not always adequate for the rigors of high-recovery systems. This article discusses applying an industry-standard ion association model calculation engine to predict scale in membrane systems and optimize control. The ion association model engine calculates the most likely distribution of species for a brine and uses free ion concentrations to calculate the driving scale force for minerals such as calcite, gypsum, barite, celestite, and silica, as well as calcium phosphate-based scales. Models for optimizing scale-inhibitor dosages are also described. The article draws on the concept of induction time as a basis for the mathematical models used to develop predictive models from actual data. The models are commercially available inhibitors that have been used successfully to select treatments and optimize dos...

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    12
    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Top 10%
Top 10%
Average
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