FT-i.r. characterization of pitches derived from Avgamasya asphaltite and Raman-Dinçer heavy crude

Akrami, H.A El; Yardim, M. Ferhat; Akar, Ahmet; Eki̇nci̇, Ekrem

doi:10.1016/s0016-2361(97)00100-2

Cited by 51 publications

(26 citation statements)

References 14 publications

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“…4. The oils produced from the DCL of HOME1 have a better quality than conventional brown coal oil from HOME3, bitumen, heavy oil, pyrolysis oil from biomass and even the first-stage DCL oil from the German ''Kohleöl-Prozess'' [44][45][46], concerning their H/C molar ratios and their HHV Oil . Our DCL oils (H/C molar ratio = 1.57, HHV Oil = 43.5 MJ kg À1 ) are close to the values of the premium crude oil ''Arabian light'' (H/C molar ratio = 1.77, HHV Oil = 44.8 MJ kg À1 , see Fig.…”

Section: Of the Brown Coals From Central Germanymentioning

confidence: 99%

Direct liquefaction of lower-rank coals and biocoals with magnetically separable catalysts as a sustainable route to fuels

Trautmann

Lang

Traa

2015

Fuel

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Section: Of the Brown Coals From Central Germanymentioning

confidence: 99%

Direct liquefaction of lower-rank coals and biocoals with magnetically separable catalysts as a sustainable route to fuels

Trautmann

Lang

Traa

2015

Fuel

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“…These methods are rather slow, elaborate, and expensive, requiring large sample amounts of the crude to be sent to the laboratory. As a fast and viable alternative, spectroscopic methods such as nuclear magnetic resonance (NMR), [4][5][6][7][8][9][10][11] Raman, 12,13 infrared (IR), [14][15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30][31] and near infrared (NIR) 24,25 have been proposed, since the corresponding spectra reflect the complete molecular composition of the crude oil. 26 Particularly, when combined with chemometric modeling techniques, [27][28][29] it might be possible to classify crude oils in terms of suitability for bitumen manufacture from their spectra.…”

Section: Introductionmentioning

confidence: 99%

Prediction of Long and Short Residue Properties of Crude Oils from Their Infrared and Near-Infrared Spectra

et al. 2008

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Research has been carried out to determine the feasibility of chemometric modeling of infrared (IR) and near-infrared (NIR) spectra of crude oils to predict the long residue (LR) and short residue (SR) properties of these samples. A novel method is described to predict short residue properties at different flashing temperatures based on the IR spectrum of a crude oil measured at room temperature. The resulting method is the subject of European patent application number 07251853.3 filed by Shell Internationale Research Maatschappij B.V. The study has been carried out on 47 crude oils and 4 blends, representing a large variety of physical and chemical properties. From this set, 28 representative samples were selected by principle component analysis (PCA) and used for calibration. The remaining 23 samples were used as a test set to validate the obtained partial least squares (PLS) regression models. The results demonstrate that this integrated approach offers a fast and viable alternative for the currently applied elaborate ASTM (American Society for Testing and Materials) and IP (Institute of Petroleum) methods. IR spectra, in particular, were found to be a useful input for the prediction of different LR properties. Root mean square error of prediction values of the same order of magnitude as the reproducibility values of the ASTM methods were obtained for yield long on crude (YLC), density (D LR ), viscosity (V LR ), and pour point (PP) , while the ability to predict the sulfur contents (S) and the carbon residue (CR) was found to be useful for indicative purposes. The prediction of SR properties is also promising. Modeling of the IR spectra, and to a lesser extent, the NIR spectra as a function of the average flash temperature (AFT) was particularly successful for the prediction of the short residue properties density (D SR ) and viscosity (V SR ). Similar results were obtained from the models to predict SR properties as a function of the yield short on crude (YSC) values. Finally, it was concluded that the applied protocol including sample pretreatment and instrumental measurement is highly reproducible and instrument and accessory independent.

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“…The char was characterized by infrared spectroscopy in the wavenumber region of 4000-650 cm −1 . The spectrum of tar shows some distinct bands: 16 the stretching of aromatic O-H bonds (3100-3500 cm −1 ), the stretching of aromatic groups (3000 and 3050 cm −1 ), the stretching of aromatic C=C groups (1600-1450 cm −1 ), the stretching and bending modes of saturated aliphatic hydrocarbons (2950-2850 and 1400-1300 cm −1 , respectively), and the bending of aromatic C-H groups (900-700 cm −1 ).…”

Section: Characterization Of the Solid Residuementioning

confidence: 99%

Noncatalytic liquefaction of tar with low-temperature hydrothermal treatment

Diono

Sasaki

Goto

2007

J Mater Cycles Waste Manag

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Water at hydrothermal and supercritical conditions is considered a promising solvent for the degradation of hazardous waste into harmless compounds. Tar liquefaction experiments were conducted using a batch-type reactor at temperatures between 623 K and 673 K and at pressures between 25 and 40 MPa. A reaction mechanism for tar liquefaction is proposed. Moreover, on the basis of the experimental results, this method could become an efficient method for tar liquefaction, producing high yields of valuable chemical intermediates.

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FT-i.r. characterization of pitches derived from Avgamasya asphaltite and Raman-Dinçer heavy crude

Cited by 51 publications

References 14 publications

Direct liquefaction of lower-rank coals and biocoals with magnetically separable catalysts as a sustainable route to fuels

Direct liquefaction of lower-rank coals and biocoals with magnetically separable catalysts as a sustainable route to fuels

Prediction of Long and Short Residue Properties of Crude Oils from Their Infrared and Near-Infrared Spectra

Noncatalytic liquefaction of tar with low-temperature hydrothermal treatment

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