A semiempirical mathematical model has been developed to predict inhib
itor efficiency for barium sulfate scale control in industrial process
es. This model can be used for selecting effective inhibitors and dete
rmining the minimal effective concentration needed for a given system.
The model incorporates experimental data of the nucleation and inhibi
tion kinetics. Specifically, the induction period in the presence and
absence of scale inhibitors has been measured experimentally and input
ted into the model: C-inh = (1/b) log[t(inh)/t(0)], where C-inh is the
inhibitor concentration, t(inh) is the inhibition time (e.g., 20 min)
, to is the nucleation induction period of the scaling mineral crystal
, and b is the inhibitor efficiency. The inhibition kinetics of barium
sulfate nucleation with is(hexamethylene)triaminepenta(methylenephosp
honic acid) (BHMTPMP) and several other polyphosphonate and polyacryla
te inhibitors have been measured. Many factors which are important to
nucleation and inhibition kinetics, such as the degree of supersaturat
ion, temperature, and solution pH, have been included in the inhibitor
model. The model prediction for barium sulfate scale control was in g
ood agreement with laboratory observations and field experience.