Fuzzy logic control for a petroleum separation process

Engineering Applications of Artificial Intelligence

Volumn 21, Issue 6, 2008, Pages 835-845

  Liao, R F ^a   Chan, C W ^a   Hromek, J ^a   Huang, G H ^a   He, L ^a  

^a UNIVERSITY OF REGINA   (Canada)

Author keywords

Automated control; Fuzzy logic control; Fuzzy set theory; Gas liquid ratio; Petroleum production and separation; Uncertainty modeling

Indexed keywords

ARTIFICIAL INTELLIGENCE; AUTOMATION; BIONICS; CRUDE PETROLEUM; CUSTOMER SATISFACTION; ENGINEERS; FLUIDS; FOSSIL FUELS; FUZZY CONTROL; FUZZY INFERENCE; FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS; ISOMERS; KNOWLEDGE BASED SYSTEMS; MILITARY DATA PROCESSING; PROBLEM SOLVING; PROCESS DESIGN; PROCESS ENGINEERING; QUALITY ASSURANCE; QUALITY CONTROL; QUALITY FUNCTION DEPLOYMENT; SEPARATION; SYNCHRONOUS MOTORS; TOTAL QUALITY MANAGEMENT; WELL STIMULATION;

CRUDE OILS; DEFUZZIFICATION; ELSEVIER (CO); FUZZIFICATION; FUZZY LOGIC CONTROL (FLC); FUZZY LOGIC CONTROLLER (FLCA); GAS-LIQUID RATIO (GLR); KNOWLEDGE BASE (KB); LIQUID LEVELS; LOGIC PROCESSES; MONITOR AND CONTROL; OIL QUALITY; OIL SEPARATORS; PETROLEUM ENGINEERS; REAL WORLD; SEPARATION PROCESSES;

PROCESS CONTROL;

EID: 46149115680     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2007.09.006     Document Type: Article

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