Applications of multifactorial experiments in petroleum distribution: NNPC as case study
Akintunde OA, Kazeem OO
The petroleum industry, also known as the oil industry includes the global processes of exploration, extraction, refining, transporting, and marketing of petroleum products of the industry. At this time, crude oil is one of the most present and essential resources in everyday life. The oil industry is one of the most powerful branches in the world economy. In the research study, two-level factorial design was performed to evaluate the effects of three variables and their interaction on the oil extraction. The variables included the petroleum products, years of distribution, and time (quarters of month) of distribution. The statistical analysis of the experimental data shows that the extracted products (PMS, HHK, ATK, and AGO) depends on all the examined variables. It also depends on the interactions between the petroleum products, quarters, and years. The experimental design method enables to determine the most important variables, their interaction and the most significant variables. The experimental data were in good agreement with those predicted by the model. The use and application of multiple regression model was also examined.
Akintunde OA, Kazeem OO. Applications of multifactorial experiments in petroleum distribution: NNPC as case study. International Journal of Humanities and Social Science Research, Volume 5, Issue 2, 2019, Pages 82-90