Application of full factorial design to screen the factors influencing the wax deposition of Malaysian crude oil

Abstract Wax deposition in production pipelines and transportation tubing from offshore to onshore is critical the petroleum industry due low-temperature conditions. The most significant popular approach solve this issue by inserting a wax inhibitor into channel. This research aims reduce amount of formation Malaysian crude oil estimating effective parameters using Design-Expert full factorial design (FFD) method. Five have been investigated, which are rotation speed (A), cold finger temperature (B), duration experimental (C), concentration poly (stearyl acrylate- co -behenyl acrylate) (SABA) (D), nano-silica SiO 2 (E). optimum conditions for reducing deposit identified FFD at 300 rpm, 10 ℃, 1 h, 1200 ppm 400 ppm, respectively. estimated 0.12 g. regression model’s variance results revealed that R value 0.9876, showing 98.76% data variation, can be described model. lack fit not important comparison pure error, good. F 12.85 means there only 7.41% probability huge occur because noise. influence was reported as main contributing factor deposits compared other factors. In addition, interaction between B C highest effect on deposition. conclusion, best variables inhibition determined FFD. It valued tool measure detect unique relations two or more variables. As result, findings study used develop reliable model predicting associated costs processing time.