Classification of waxy crude oil odor-profile using gas sensor array

Nowadays, waxy crude oil becomes one of the major concerns in the oil and gas industry. The waxy crude oil affects the production and transportation of the crude oil from offshore to onshore. Differentiation by image visualization in determining the type of waxy crude oil, with or without wax someti...

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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
Published: 2019
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060969105&doi=10.1088%2f1757-899X%2f469%2f1%2f012073&partnerID=40&md5=d8b698ec6dc7ee616fe6847bc413f4ff
http://eprints.utp.edu.my/22176/
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spelling my.utp.eprints.221762019-02-28T07:57:18Z Classification of waxy crude oil odor-profile using gas sensor array Mawardzi, M.F.R.M. Japper-Jaafar, A. Najib, M.S. Daud, S.M. Ya, T.M.Y.S.T. Nowadays, waxy crude oil becomes one of the major concerns in the oil and gas industry. The waxy crude oil affects the production and transportation of the crude oil from offshore to onshore. Differentiation by image visualization in determining the type of waxy crude oil, with or without wax sometimes appear rather similar between each other. Hence, a new method needs to be used to differentiate and classify the waxy crude oil type. An electronic nose (E-Nose) is one of the devices that could detect and measure the odor data of the waxy crude oil type using gas sensor array. This paper aims to classify four types of Malaysian waxy crude oil from different fields at room temperature. There are 16,000 odor data that has been collected by using the E-Nose. Then, the measured data were normalized and analyzed using boxplot analysis. The unique odor-profile for each type of waxy crude oil sample has been extracted and classified using intelligent classification technique. The four types of waxy crude oil have been classified 100 using k-NN intelligent classification technique with zero percentage of error in this paper. © Published under licence by IOP Publishing Ltd. 2019 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060969105&doi=10.1088%2f1757-899X%2f469%2f1%2f012073&partnerID=40&md5=d8b698ec6dc7ee616fe6847bc413f4ff 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) Classification of waxy crude oil odor-profile using gas sensor array. IOP Conference Series: Materials Science and Engineering, 469 (1). http://eprints.utp.edu.my/22176/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Nowadays, waxy crude oil becomes one of the major concerns in the oil and gas industry. The waxy crude oil affects the production and transportation of the crude oil from offshore to onshore. Differentiation by image visualization in determining the type of waxy crude oil, with or without wax sometimes appear rather similar between each other. Hence, a new method needs to be used to differentiate and classify the waxy crude oil type. An electronic nose (E-Nose) is one of the devices that could detect and measure the odor data of the waxy crude oil type using gas sensor array. This paper aims to classify four types of Malaysian waxy crude oil from different fields at room temperature. There are 16,000 odor data that has been collected by using the E-Nose. Then, the measured data were normalized and analyzed using boxplot analysis. The unique odor-profile for each type of waxy crude oil sample has been extracted and classified using intelligent classification technique. The four types of waxy crude oil have been classified 100 using k-NN intelligent classification technique with zero percentage of error in this paper. © 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.
Classification of waxy crude oil odor-profile using gas sensor array
author_facet Mawardzi, M.F.R.M.
Japper-Jaafar, A.
Najib, M.S.
Daud, S.M.
Ya, T.M.Y.S.T.
author_sort Mawardzi, M.F.R.M.
title Classification of waxy crude oil odor-profile using gas sensor array
title_short Classification of waxy crude oil odor-profile using gas sensor array
title_full Classification of waxy crude oil odor-profile using gas sensor array
title_fullStr Classification of waxy crude oil odor-profile using gas sensor array
title_full_unstemmed Classification of waxy crude oil odor-profile using gas sensor array
title_sort classification of waxy crude oil odor-profile using gas sensor array
publishDate 2019
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060969105&doi=10.1088%2f1757-899X%2f469%2f1%2f012073&partnerID=40&md5=d8b698ec6dc7ee616fe6847bc413f4ff
http://eprints.utp.edu.my/22176/
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