Intelligent classification of waxy crude oil odor-profile at different temperature

Crude oil is one of the basic needs required for humans to ease their life. The quality of crude oil with the lowest wax content is very important, in order to sustain the transportation and production of crude oil from offshore to onshore. Based on literature from previous studies, the appearance o...

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Main Authors: Mawardzi, M.F.R.M., Japper-Jaafar, A., Najib, M.S., Daud, S.M., Ya, T.M.Y.S.T.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.22178 /
Published: 2019
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060967991&doi=10.1088%2f1757-899X%2f469%2f1%2f012071&partnerID=40&md5=55674048bc0839ce85cee8631a8ee5e2
http://eprints.utp.edu.my/22178/
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spelling utp-eprints.221782019-02-28T05:18:57Z Intelligent classification of waxy crude oil odor-profile at different temperature Mawardzi, M.F.R.M. Japper-Jaafar, A. Najib, M.S. Daud, S.M. Ya, T.M.Y.S.T. Crude oil is one of the basic needs required for humans to ease their life. The quality of crude oil with the lowest wax content is very important, in order to sustain the transportation and production of crude oil from offshore to onshore. Based on literature from previous studies, the appearance of wax depends on the temperature which is called Wax Appearance Temperature (WAT). Hence, there is a need to propose a new method to classify the waxy crude oil at a different temperature. The main purpose of this paper is to classify Malaysian waxy crude oil odor profile at different temperatures using intelligent classification technique. There are 28,000 data measurement of the waxy crude oil that was taken using an electronic nose (E-nose). The data readings have been normalized and analyzed using a statistical method. Then, the odor profiles were classified using K-Nearest Neighbour. The classification performance shows that the technique was able to classify the Malaysian waxy crude oil odor profile at different temperatures with 100 accuracy. © Published under licence by IOP Publishing Ltd. 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060967991&doi=10.1088%2f1757-899X%2f469%2f1%2f012071&partnerID=40&md5=55674048bc0839ce85cee8631a8ee5e2 Mawardzi, M.F.R.M. and Japper-Jaafar, A. and Najib, M.S. and Daud, S.M. and Ya, T.M.Y.S.T. (2019) Intelligent classification of waxy crude oil odor-profile at different temperature. IOP Conference Series: Materials Science and Engineering, 469 (1). http://eprints.utp.edu.my/22178/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Crude oil is one of the basic needs required for humans to ease their life. The quality of crude oil with the lowest wax content is very important, in order to sustain the transportation and production of crude oil from offshore to onshore. Based on literature from previous studies, the appearance of wax depends on the temperature which is called Wax Appearance Temperature (WAT). Hence, there is a need to propose a new method to classify the waxy crude oil at a different temperature. The main purpose of this paper is to classify Malaysian waxy crude oil odor profile at different temperatures using intelligent classification technique. There are 28,000 data measurement of the waxy crude oil that was taken using an electronic nose (E-nose). The data readings have been normalized and analyzed using a statistical method. Then, the odor profiles were classified using K-Nearest Neighbour. The classification performance shows that the technique was able to classify the Malaysian waxy crude oil odor profile at different temperatures with 100 accuracy. © Published under licence by IOP Publishing Ltd.
format Article
author Mawardzi, M.F.R.M.
Japper-Jaafar, A.
Najib, M.S.
Daud, S.M.
Ya, T.M.Y.S.T.
spellingShingle Mawardzi, M.F.R.M.
Japper-Jaafar, A.
Najib, M.S.
Daud, S.M.
Ya, T.M.Y.S.T.
Intelligent classification of waxy crude oil odor-profile at different temperature
author_sort Mawardzi, M.F.R.M.
title Intelligent classification of waxy crude oil odor-profile at different temperature
title_short Intelligent classification of waxy crude oil odor-profile at different temperature
title_full Intelligent classification of waxy crude oil odor-profile at different temperature
title_fullStr Intelligent classification of waxy crude oil odor-profile at different temperature
title_full_unstemmed Intelligent classification of waxy crude oil odor-profile at different temperature
title_sort intelligent classification of waxy crude oil odor-profile at different temperature
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060967991&doi=10.1088%2f1757-899X%2f469%2f1%2f012071&partnerID=40&md5=55674048bc0839ce85cee8631a8ee5e2
http://eprints.utp.edu.my/22178/
_version_ 1741196580572102656
score 11.62408

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