A Computational Intelligence Based Approach for the Analysis and Optimization of a Crude Oil Desalting and Dehydration Process-Reference-Cited by-同舟云学术

A Computational Intelligence Based Approach for the Analysis and Optimization of a Crude Oil Desalting and Dehydration Process

Published:2005-09-15 Issue:6 Volume:19 Page:2526-2534
ISSN:0887-0624
Container-title:Energy & Fuels
language:en
Short-container-title:Energy Fuels

Author:

Al-Otaibi Musleh B.¹,Elkamel Ali¹,Nassehi Vahid¹,Abdul-Wahab Sabah A.¹

Affiliation:

1. Department of Chemical Engineering, Loughborough University, Ashby Road, Loughborough, Leicestershire, LE11 3TU, England, Department of Chemical Engineering, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3 G1, and Mechanical & Industrial Engineering Department, Sultan Qaboos University, P.O. Box 33, Al Khod, P.C. 123, Muscat, Sultanate of Oman

Publisher

American Chemical Society (ACS)

Subject

Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

Link

https://pubs.acs.org/doi/pdf/10.1021/ef050132j

Reference17 articles.

1. Al-Otaibi, M. Modelling and optimizing of crude oil desalting process. Ph.D. Thesis, Loughborough University, Leicestershire, England, 2004.

2. An artificial neural network for predicting and optimizing immiscible flood performance in heterogeneous reservoirs

3. Measurement and prediction of ozone levels around a heavily industrialized area: a neural network approach

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