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

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

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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.

Item Type: Conference or Workshop Item (Lecture)
Uncontrolled Keywords: Electronic nose; Gas detectors; Gas industry; Nearest neighbor search; Offshore oil well production
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 27 Mar 2019 03:30
Last Modified: 27 Mar 2019 03:30
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