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In this study, the Sany-glass test was used to evaluate the performance of a new surfactant prepared from corn
oil as a demulsifier for crude oil emulsions. Central composite design (CCD), based on the response surface methodology
(RSM), was used to investigate the effect of four variables, including demulsifier dosage, water content, temperature, and
pH, on the efficiency of water removal from the emulsion. As well, analysis of variance was applied to examine the
precision of the CCD mathematical model. The results indicate that demulsifier dose and emulsion pH are two significant
parameters determining demulsification. The maximum separation efficiency of 96% was attained at an alkaline pH and
with 3500 ppm demulsifier. According to the RSM analysis, the optimal values for the input variables are 40% water
content, 3500 ppm demulsifier, 60 °C, and pH 8.
Evaluation of anti-agglomerate hydrate inhibitor in water-in-crude oil emulsions of different water cut
