A 1H NMR method for the estimation of hydrogen content for all petroleum products

Abstract

Background: Hydrogen content is an important parameter for all petroleum products, because the performance of the products for specific application depends on the concentration of hydrogen in it. Further, hydrogen content can be used as a measure for quality control during the production process and assess the quality of the products, which is governed by the catalyst used. Therefore, to get the desired petroleum products like MS and HSD, pilot scale evaluation of different catalysts plays an important role in problem solving during troubleshooting in refineries. During evaluation studies the performance of catalyst depends upon the hydrogen consumption and mass balance in any catalytic process. In order to calculate total hydrogen consumption during production of different petroleum products an effort has been made to develop a universal method based on nuclear magnetic resonance (NMR) technique, that allows estimating hydrogen content in all petroleum fractions, ranging from IBP to 530+°C.

Molecular-Level Structural Insight into Clarified Oil by Nuclear Magnetic Resonance (NMR) Spectroscopy: Estimation of Hydrocarbon Types and Average Structural Parameters

“…These assignments were corroborated not only by 2D HSQC analysis (see the Supporting Information for HSQC spectra for Type II and Type III CLOs) but also by comparing the hydrocarbon-type estimation data for all three types of CLOs with that obtained via TLC-FID and open column chromatography. Comparison of hydrogen content data for these CLO samples, as estimated by using eq (vide infra) vis á vis by an independent method, was also determined to be in close agreement and, hence, support our basis of classification and assignments. [Equation is given later in this work.…”

“…As part of our continuous efforts ,,− to develop NMR-based analytical methods for the analysis of various types of petroleum products, in the present work, a direct and easy to grasp methodology based on combination of quantitative 1 H (Q 1 H) and 13 C (Q 13 C)-NMR has been developed for estimating total aromatics, saturates, and other important structural parameters mentioned above, thus provides molecular-level understanding of this potentially valuable feedstock. The method exploits the concept of group molecular weight (GMWt) for hydrocarbon-type estimation and uses three empirical equations governing the nature of aromatic condensation, along with a few NMR-based equations for the estimation of average structural parameters, which does not require the use of elemental composition (%C, %H) .…”

Reactivity of Vacuum Residues by Thermogravimetric Analysis and Nuclear Magnetic Resonance Spectroscopy

“…In general, these parameters are used to classify the structural groups or fragments, present in hypothetical structures, which have been studied by several authors. ,− The 1 H NMR spectra were analyzed to obtain the concentration of aromatic and aliphatic hydrogen for the vacuum residues. Figure shows a typical vacuum residue spectrum.…”

Conversions of Waste Tube-Tyres (WTT) and Waste Polypropylene (WPP) into Diesel Fuel through Catalytic Pyrolysis Using Base SrCO3

“…From the above NMR the spectra the bromine number is calculated as indicated below. [25][26] Bromine No = indicates that the diesel fuel does not contain oxygenates like iso-propanol, ethanol. From the 13 C NMR it is clear that naphthalene fraction is not present.…”

“…From the above NMR spectra, the bromine number is calculated as indicated below. [25][26] © Engineered Science Publisher LLC 2021…”