A Fuzzy Logic Controller for an Oil Separation Process

The production and separation facility of crude oil is called an oil battery. This paper presents an automated fuzzy logic controller (FLC) that can be used to improve quality of the oil separation process. Automated fuzzy logic controllers (FLC) based on fuzzy logic are proven to be effective solutions for complex, nonlinear, or uncertain systems such as oil battery configurations. A crucial variable in quality control of crude oil separation is the gas liquid ratio, and adjustments on this variable directly controls the quality of oil produced during the separation process. The FLC controls the pressure and liquid levels within an oil separator and both variables are associated with the gas liquid ratio. This paper will discuss design and implementation of the FLC system including data fuzzification, knowledge base creation, and the de-fuzzification processes.