Detection and Analysis of Water Content of Crude Oil by Near Infrared Spectroscopy

Hong-ming LIU; Yu-juan LIU; Zhi-cheng ZHONG; Ying SONG; Zhe LI; Yang XU

doi:10.3964/j.issn.1000-0593(2021)02-0505-06

Spectroscopy and Spectral Analysis, Volume. 41, Issue 2, 505(2021)

Detection and Analysis of Water Content of Crude Oil by Near Infrared Spectroscopy

Hong-ming LIU^1,1、*, Yu-juan LIU^1,1, Zhi-cheng ZHONG^1,1, Ying SONG^1,1, Zhe LI^1,1, and Yang XU^1,1

Author Affiliations

¹[in Chinese]

¹1. Key Laboratory of Geophysical Exploration Equipment, Ministry of Education, College of Instrumentation & Electrical Engineering, National Geophysical Exploration Equipment Engineering Research Center, Jilin University, Changchun 130012, China

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Figures & Tables(11)

Fig. 1. Experimental system design of near infrared spectroscopy for crude oil samples

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Fig. 2. Spectrum of mercury lamp measured by experimental system

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Fig. 3. Purified crude oil produced in Daqing Oilfield

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Fig. 4. Sample average processing curve
(a): 10 spectral datas; (b): Average spectral data; (c): Average spectra of all samples

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Fig. 5. Spectral curves after moving average smoothing

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Fig. 6. Spectral curves after S-G smoothing

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Fig. 7. Algorithm prediction model fitting results
(a): PLS; (b): SVR

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Table 1. Parameters of halogen light source
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Table 1. Parameters of halogen light source
Wavelength
range/nm fluctuation
stability/% intensity
drift/%hr bulb color
temperature/K
50~1 700 0.5 <0.3 2 800

Table 2. Parameters of SW2520 spectrometer
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Table 2. Parameters of SW2520 spectrometer
Performance parameters
Wavelength Range/nm 950~1 700
Dynamic Range 7 200∶1
SNR(Signal to Noise Ratio) 6 000∶1
Stray Light <0.15%
Thermal Stability <0.069
Spectral Resolution/nm 8
Wavelength Accuracy/nm ±1

Table 3. Content of materials prepared from 39 component samples (crude oil/water)

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Table 3. Content of materials prepared from 39 component samples (crude oil/water)

1%~5.5% samples/μL	6%~10.5% samples/μL	11%~15.5% samples/μL	16%~20% samples/μL
70/6 930	420/6 580	770/6 230	1 120/5 880
105/6 895	455/6 545	805/6 195	1 155/5 845
140/6 860	490/6 510	840/6 160	1 190/5 810
175/6 825	525/6 475	875/6 125	1 225/5 775
210/6 790	560/6 440	910/6 090	1 260/5 740
245/6 755	595/6 405	945/6 055	1 295/5 705
280/6 720	630/6 370	980/6 020	1 330/5 670
315/6 685	665/6 335	1 015/5 985	1 365/5 635
350/6 650	700/6 300	1 050/5 950	1 400/5 600
385/6 615	735/6 265	1 085/5 915

Table 4. Prediction data of PLS analysis prediction model

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Table 4. Prediction data of PLS analysis prediction model

actual value/%	PLS Model		SVR Model
actual value/%	predicted value/%	relative error/%	predicted value/%	relative error/%
2.0	1.997 961	-0.100 0	1.938 493	-3.00
5.5	5.498 486	-0.002 8	5.541 823	0.76
6.5	6.501 231	0.019 0	6.513 176	0.20
8.5	8.503 253	0.038 0	8.549 201	0.58
10.0	9.991 002	-0.090 0	10.054 180	0.54
12.5	12.499 670	-0.003 0	12.462 110	-0.30
13.5	13.504 960	0.037 0	13.546 910	0.35
16.5	16.498 520	-0.009 0	16.524 200	0.15
18.5	18.500 730	0.004 0	18.524 430	0.13

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Hong-ming LIU, Yu-juan LIU, Zhi-cheng ZHONG, Ying SONG, Zhe LI, Yang XU. Detection and Analysis of Water Content of Crude Oil by Near Infrared Spectroscopy[J]. Spectroscopy and Spectral Analysis, 2021, 41(2): 505

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