Identification of the Source of Geographical Origin of Iranian Crude Oil by Chemometrics Analysis of Fourier Transform Infrared Spectra
| Autor: | Samira Dorostkar, Bahram Hemmateenejad |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
business.industry
General Chemical Engineering Analytical chemistry Energy Engineering and Power Technology Pattern recognition Crude oil Fourier transform infrared spectra Chemometrics symbols.namesake Fuel Technology Fourier transform Principal component analysis symbols Classification methods Artificial intelligence Fourier transform infrared spectroscopy business Mathematics |
| Zdroj: | Energy & Fuels. 28:761-765 |
| ISSN: | 1520-5029 0887-0624 |
| DOI: | 10.1021/ef4017202 |
| Popis: | In this paper, we analyzed the crude oils of five different regions of Iran to identify their sources of geographical origin. The Fourier transform infrared (FTIR) spectra of samples were analyzed by chemometrics methods to make discrimination between the different crude oil sources. Infrared (IR) spectroscopy in conjunction with chemometrics techniques allows for online monitoring in real time, which can be of considerable use in the petroleum industry. Principal component analysis (PCA) and extended canonical variates analysis (ECVA), as unsupervised and supervised classification methods, respectively, were employed. The PCA scores made a relative discrimination between the different crude oil sources; however, the degree of classification was not satisfactory. Instead, more accurate classification results were achieved by ECVA. The results show that the spectral region 1350–1490 cm–1 possessed much better performances for classification by ECVA. This spectral region, which is attributed to the S═O, aro... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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