Prediction of crude oil light end yields using neural network modeling

The objective of the project is to explore the feasibility of using neural network modeling technique to predict the yields of light hydrocarbon (specifically propane and butane) in crude oil, using easily measurable crude oil properties, such as specific gravity (S.G.) and yields of the various cru...

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Bibliographic Details
Main Author:	Chung, Chee Kong.
Other Authors:	Chan, Sai Piu
Format:	Theses and Dissertations
Published:	2008
Subjects:	DRNTU::Engineering::Computer science and engineering::Computing methodologies
Online Access:	http://hdl.handle.net/10356/4187
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Institution:	Nanyang Technological University

id	sg-ntu-dr.10356-4187
record_format	dspace
spelling	sg-ntu-dr.10356-41872023-07-04T15:58:47Z Prediction of crude oil light end yields using neural network modeling Chung, Chee Kong. Chan, Sai Piu School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies The objective of the project is to explore the feasibility of using neural network modeling technique to predict the yields of light hydrocarbon (specifically propane and butane) in crude oil, using easily measurable crude oil properties, such as specific gravity (S.G.) and yields of the various crude oil fractions. Another objective of this project is to compare the effectiveness of using neural network modeling technique to that achieved using multi-linear regression. Master of Science (Computer Control and Automation) 2008-09-17T09:46:23Z 2008-09-17T09:46:23Z 2000 2000 Thesis http://hdl.handle.net/10356/4187 Nanyang Technological University application/pdf
institution	Nanyang Technological University
building	NTU Library
continent	Asia
country	Singapore Singapore
content_provider	NTU Library
collection	DR-NTU
topic	DRNTU::Engineering::Computer science and engineering::Computing methodologies
spellingShingle	DRNTU::Engineering::Computer science and engineering::Computing methodologies Chung, Chee Kong. Prediction of crude oil light end yields using neural network modeling
description	The objective of the project is to explore the feasibility of using neural network modeling technique to predict the yields of light hydrocarbon (specifically propane and butane) in crude oil, using easily measurable crude oil properties, such as specific gravity (S.G.) and yields of the various crude oil fractions. Another objective of this project is to compare the effectiveness of using neural network modeling technique to that achieved using multi-linear regression.
author2	Chan, Sai Piu
author_facet	Chan, Sai Piu Chung, Chee Kong.
format	Theses and Dissertations
author	Chung, Chee Kong.
author_sort	Chung, Chee Kong.
title	Prediction of crude oil light end yields using neural network modeling
title_short	Prediction of crude oil light end yields using neural network modeling
title_full	Prediction of crude oil light end yields using neural network modeling
title_fullStr	Prediction of crude oil light end yields using neural network modeling
title_full_unstemmed	Prediction of crude oil light end yields using neural network modeling
title_sort	prediction of crude oil light end yields using neural network modeling
publishDate	2008
url	http://hdl.handle.net/10356/4187
_version_	1772826025430876160

Prediction of crude oil light end yields using neural network modeling

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