Partial least squares modeling of combined infrared, 1H NMR and 13C NMR spectra to predict long residue properties of crude oils

Peinder, Peter de; Visser, Taco D.; Petrauskas, Derek D.; Salvatori, Fabien; Soulimani, Fouad; Weckhuysen, Bert M.

doi:10.1016/j.vibspec.2009.04.009

Cited by 32 publications

(26 citation statements)

References 43 publications

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“…Based on our previous work [15], we can state that the derived conclusion can be generalized for most types of crude Figure 7: IR spectrum of heavy fuel oil as transmittance spectra [22] and the calculated absorption spectra of ordinary water (for 1-micrometer thick samples).…”

Section: Absorption Loss In Crudementioning

confidence: 82%

Wireless Underground Sensor Networks: Channel Modeling and Operation Analysis in the Terahertz Band

Akkaş¹,

Sokullu²

2015

International Journal of Antennas and Propagation

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Wireless underground sensor networks (WUSNs) are networks of sensor nodes operating below the ground surface, which are envisioned to provide real-time monitoring capabilities in the complex underground environments consisting of soil, water, oil, and other components. In this paper, we investigate the possibilities and limitations of using WUSNs for increasing the efficiency of oil recovery processes. To realize this, millimeter scale sensor nodes with antennas at the same scale should be deployed in the confined oil reservoir fractures. This necessitates the sensor nodes to be operating in the terahertz (THz) range and the main challenge is establishing reliable underground communication despite the hostile environment which does not allow the direct use of most existing wireless solutions. The major problems are extremely high path loss, small communication range, and high dynamics of the electromagnetic (EM) waves when penetrating through soil, sand, and water and through the very specific crude oil medium. The objective of the paper is to address these issues in order to propose a novel communication channel model considering the propagation properties of terahertz EM waves in the complex underground environment of the oil reservoirs and to investigate the feasible transmission distances between nodes for different water-crude-oil-soil-CO 2 compositions.

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Section: Absorption Loss In Crudementioning

confidence: 82%

Wireless Underground Sensor Networks: Channel Modeling and Operation Analysis in the Terahertz Band

Akkaş¹,

Sokullu²

2015

International Journal of Antennas and Propagation

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“…There are many different kinds of crude oil [14] and the absorption spectrum of some types can be looked up in [14,15,16,17,18,19,20,21,22]. According to these absorption spectrums, the absorption coefficient of most crude oil k oil ( f ) at room temperature is approximately 0.02 for the transmission window considered (70 and 85 THz).…”

Section: ( )mentioning

confidence: 99%

Terahertz channel modeling of underground sensor networks in oil reservoirs

Akkaş

Akyildiz

Sokullu

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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Abstract-Future enhanced oil recovery technology requires wireless sensor networks to effectively operate in underground oil reservoirs. In this case, the millimeter scale sensor nodes with the antennas at the same scale have to be deployed in the confined underground oil reservoir fractures. This necessitates the sensor nodes to be operating in the THz frequency range. In this paper, the propagation based on electromagnetic (EM) waves in the Terahertz band (0.1-120.0 THz) through a crude oil/water mixture and soil medium is analyzed in order to explore its applicability in underground oil reservoir assessments. The developed model evaluates the total path loss and the absorption loss that an EM wave experiences when propagating through the crude oil/water mixture and soil medium. Our results show that sensors can communicate successfully for distances up to 1 centimeter and we have determined the existence of two transmission bands, in which the path loss is below 100 dB. Among those, the frequency window, which provides best performance, determined as 70 to 85 THz. Different path and absorption loss schemes considered, which suggests that the 70 to 85 THz band is suitable for sensor communications in a medium of crude oil/water mixture and soil.

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“…As an alternative high-field 1 H NMR spectroscopy has been used to quantify crude oil properties but because of the high complexity of the sample matrix, exploiting the full information content of the NMR requires sample dilution and multivariate data analysis. [5][6][7] Masili et al used 1 H NMR/PLS to predict density, UOP characterization factor (K uop ), TAN, sulfur content, and distillation yields on neat crude samples, [8] thus removing sample dilution which can be a potential source of undesired lineshift. More recently Duarte, [9] Filgueiras, [10] and Vieira [11] have all demonstrated, on different sample sets and properties, the effectiveness of 1 H NMR for the characterization of crude oils using various multivariate calibration strategies.…”

Section: Introductionmentioning

confidence: 99%

Application of benchtop low‐field NMR spectrometers in the refining industry: A multivariate calibration approach for rapid characterization of crude oils

Sassu¹,

Puligheddu²,

Puligheddu³

et al. 2020

Magnetic Reson in Chemistry

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High‐field nuclear magnetic resonance (NMR) has proven to be a valuable tool to analyze petroleum products but has never acquired widespread acceptance in routine work in oil refinery due to the high cost. The advent of compact, reliable, and affordable cryogen‐free low‐field benchtop NMR spectrometers suggest a possible role of such instrument for a variety of uses in refining spanning from routine lab work applications to online analysis. In this work, we report the development of a novel benchtop NMR application to estimate the API gravity, sulfur content, total acidity number (TAN), and distillation yields of crude petroleum from 60 MHz 1H NMR spectra and partial least square (PLS) regression models. The results obtained on a dataset of over 170 crude oil samples and tested with external validation set show performances in terms of root mean square standard error of prediction (RMSEP) matching the analytical methods' ASTM precision. This novel benchtop NMR and multivariate analysis application can thus be used in typical refinery laboratories to provide within minutes and without physical distillation, reliable estimates of the most important properties usually measured on the crude petroleum during refining. The method proves to be a fast, cheaper alternative to the current analytical options providing readily available data for managing crude oil and has high potential to be further exploited for online application.

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Partial least squares modeling of combined infrared, 1H NMR and 13C NMR spectra to predict long residue properties of crude oils

Cited by 32 publications

References 43 publications

Wireless Underground Sensor Networks: Channel Modeling and Operation Analysis in the Terahertz Band

Wireless Underground Sensor Networks: Channel Modeling and Operation Analysis in the Terahertz Band

Terahertz channel modeling of underground sensor networks in oil reservoirs

Application of benchtop low‐field NMR spectrometers in the refining industry: A multivariate calibration approach for rapid characterization of crude oils

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