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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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 |
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Asia |
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Singapore Singapore |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies |
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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 |