2014
DOI: 10.1021/ef4022224
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Partial Least Squares (PLS) and Multiple Linear Correlations between Heithaus Stability Parameters (Po) and the Colloidal Instability Indices (CII) with the 1H Nuclear Magnetic Resonance (NMR) Spectra of Colombian Crude Oils

Abstract: Various methods were developed to predict the stability of Colombian crude oils, in which the integral areas of the resonance signals from 12 regions of 1 H nuclear magnetic resonance (NMR) spectra of 29 widely different crude oils were correlated with the stability parameter of Heithaus (P o ) and the colloidal instability index (CII). Correlations between the NMR spectra and properties were obtained using partial least-squares (PLS) regression and multiple linear regression (MLR). The prediction models for P… Show more

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Cited by 9 publications
(6 citation statements)
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“…Also, the signals in the range of 2.4–3.5 ppm (H6 area), which correspond to the CH 2 and CH of alkyl in the α-position to the aromatic rings, are associated with asphaltene compounds. These trends indicate that differences in the chemical composition of crude oils can be easily detected via 1 H NMR spectroscopy with high precision …”
Section: Resultsmentioning
confidence: 91%
See 1 more Smart Citation
“…Also, the signals in the range of 2.4–3.5 ppm (H6 area), which correspond to the CH 2 and CH of alkyl in the α-position to the aromatic rings, are associated with asphaltene compounds. These trends indicate that differences in the chemical composition of crude oils can be easily detected via 1 H NMR spectroscopy with high precision …”
Section: Resultsmentioning
confidence: 91%
“…These trends indicate that differences in the chemical composition of crude oils can be easily detected via 1 H NMR spectroscopy with high precision. 34 3.2. Chemometric Analysis.…”
Section: Methodsmentioning
confidence: 99%
“…Each of these fractions has a particular solubility in paraffinic (such as heptane), aromatic (such as toluene), and polar (such as dichloromethane) solvents. Depending on the proportions of these fractions as well as its tendency to precipitate organic scales, it is possible to classify a crude oil as stable or unstable. , Regardless of the oil, asphaltenes present the greatest challenge due to their influence on the general behavior of crude oil, such as its emulsifying tendency, the precipitation of organic scales, and its viscosity. , Asphaltenes are difficult to characterize because they are defined in terms of their solubility and not their composition. For example, different “asphaltenes” can be obtained from the same crude oil simply by changing the precipitant used. , Several techniques have been employed in asphaltene characterization, such as infrared spectroscopy (IR), matrix-assisted laser desorption/ionization mass spectrometry (MALDI/TOF), ultrasmall-angle X-ray scattering, X-ray diffraction (XRD), nuclear magnetic resonance (NMR), Fourier transform-ion cyclotron resonance-mass spectrometry (FT-ICR-MS), , and atomic force microscopy (AFM) .…”
Section: Introductionmentioning
confidence: 99%
“…NMR has previously been applied to link chemical structures within fuels to fuel properties. Table S1 in the Supporting Information, provides a bibliography of key references where properties important to fossil fuel production and performance, such as ignition characteristics, physical properties, distillation temperatures, soot, and several others, are related using mathematical models to resonances observed in one-dimensional (1-D) 1 H, 13 C, or two-dimensional (2-D) 1 H– 13 C HSQC NMR spectra. Establishing these mathematical relationships is possible because 13 C and 1 H NMR provide detailed, molecular-level information about a substance using very small samples.…”
Section: Introductionmentioning
confidence: 99%