Neuro-FuzzyPID flow control logic for subsea oil wells for FPSO processing
Year: 2024
Type: article
Abstract: Bearing in mind that emerging underwater oil wells around the world operate with fixed choke valve opening and manual activation, we saw the opportunity to automate this item in order to guarantee better productivity for the process. This article shows how a closed-loop Neuro-Fuzzy-PID control logic was designed to control the production of emerging subsea oil wells in order to maintain continuous power supply to the platform’s treatment process and correct disturbances. For this, an artificial neural network was created that resulted in the behavior of the wells depending on the opening of the choke valves and then a Fuzzy-PID controller was implemented that closes the wells’ mesh with the platform process. Several simulations were carried out to show the operation of the closed loop, given that Fuzzy-PID control has the great advantage of having a tuning that works even with changes in the process dynamics and for various operating ranges. With this work it was possible to estimate a potential gain of up to 923 thousand reais for the oil platform studied per year.
Source: Revista de Ciencia y Tecnología
Institution: Universidade Federal de Sergipe
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4405330650