Predicting the Efficiency of the Oil Removal From Surfactant and Polymer Produced Water by Using Liquid–Liquid Hydrocyclone: Comparison of Prediction Abilities Between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System

Predicting the Efficiency of the Oil Removal From Surfactant and Polymer Produced Water by Using Liquid–Liquid Hydrocyclone: Comparison of Prediction Abilities Between Response Surface Methodology and Adaptive Neuro-Fuzzy Inference System

The present study developed, evaluated and compared the prediction and simulating efficiency of both, the response surface methodology (RSM) and adaptive neuro-fuzzy inference system (ANFIS) approaches for oil removal using a liquid-liquid hydrocyclone (LLHC) from surfactant and polymer (SP) produce...

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Bibliographic Details
Main Authors: Ku Esyra Hani Ku Ishak, Mohammed Abdalla Ayoub
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
SP produced water
produced water treatment
liquid-liquid hydrocyclone
oil-water separation
RSM
ANFIS
Online Access:https://ieeexplore.ieee.org/document/8911322/

Internet

https://ieeexplore.ieee.org/document/8911322/

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