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...

Full description

Bibliographic Details
Main Authors:	M. F. R. M., Mawardzi, A. Japper, Jaafar, M. S., Najib, S. M., Daud, T. M. Y. S. T., Ya
Format:	Conference or Workshop Item
Language:	English
Published:	IOP Publishing 2019
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/24605/ http://umpir.ump.edu.my/id/eprint/24605/ http://umpir.ump.edu.my/id/eprint/24605/1/Classification%20of%20waxy%20crude%20oil%20odor-profile%20using%20gas%20sensor%20array.pdf

id	ump-24605
recordtype	eprints
spelling	ump-246052019-03-27T03:30:34Z http://umpir.ump.edu.my/id/eprint/24605/ Classification of waxy crude oil odor-profile using gas sensor array M. F. R. M., Mawardzi A. Japper, Jaafar M. S., Najib S. M., Daud T. M. Y. S. T., Ya TK Electrical engineering. Electronics Nuclear engineering 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. IOP Publishing 2019 Conference or Workshop Item PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/24605/1/Classification%20of%20waxy%20crude%20oil%20odor-profile%20using%20gas%20sensor%20array.pdf M. F. R. M., Mawardzi and A. Japper, Jaafar and M. S., Najib and S. M., Daud and T. M. Y. S. T., Ya (2019) Classification of waxy crude oil odor-profile using gas sensor array. In: IOP Conference Series: Materials Science and Engineering, 1st International Postgraduate Conference on Mechanical Engineering (IPCME2018), 31 October 2018 , UMP Library, Pekan. pp. 1-9., 469 (012073). ISSN 1757-899X https://doi.org/10.1088/1757-899X/469/1/012073
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering M. F. R. M., Mawardzi A. Japper, Jaafar M. S., Najib S. M., Daud T. M. Y. S. T., Ya Classification of waxy crude oil odor-profile using gas sensor array
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.
format	Conference or Workshop Item
author	M. F. R. M., Mawardzi A. Japper, Jaafar M. S., Najib S. M., Daud T. M. Y. S. T., Ya
author_facet	M. F. R. M., Mawardzi A. Japper, Jaafar M. S., Najib S. M., Daud T. M. Y. S. T., Ya
author_sort	M. F. R. M., Mawardzi
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
publisher	IOP Publishing
publishDate	2019
url	http://umpir.ump.edu.my/id/eprint/24605/ http://umpir.ump.edu.my/id/eprint/24605/ http://umpir.ump.edu.my/id/eprint/24605/1/Classification%20of%20waxy%20crude%20oil%20odor-profile%20using%20gas%20sensor%20array.pdf
first_indexed	2023-09-18T22:37:20Z
last_indexed	2023-09-18T22:37:20Z
_version_	1777416683337547776

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

Similar Items