Abstract:
Methods to generate a model of composition for a petroleum sample can include providing a petroleum sample to a two-dimensional gas chromatograph coupled with at least one detector. The chromatograph can have first and second columns. The chromatograph can be adapted to output data for each detector representing first and second dimension retention times corresponding to the first and second columns, respectively. The data representing the first and second dimension retention times for each detector based on the petroleum sample can be obtained from the chromatograph. Molecular components of the petroleum sample can be identified based at least in part on the first and second dimension retention times for each detector. The identified molecular components of the petroleum sample can be quantified based at least in part on integrated peaks of the first and second dimension retention times for each detector to generate a model of composition of the petroleum sample.
Abstract:
A method to determine the model-of-composition of a vacuum resid in which the resid is separated into fractions including the DAO fraction which is then separated into chemical classes including saturates, aromatics, sulfides and polars by a combination of soft ionization methods. The results of the ionization analysis are reconciled with other analysis such as bulk analysis, then consolidated to generate the modeol-of composition.
Abstract:
A method for characterizing the saturates portion of a petroleum or hydrocarbon sample that includes compounds with boiling points of 1000° F. (538° C.) or higher includes use of laser desorption ionization (LDI) to desorb and vaporize petroleum saturates into the gas phase. After ionization, the saturate compounds cations can be detected using mass spectrometry. The mass spectrum generated from the ionized saturated compounds is then characterized by assigning molecular formulas to any “detected” masses that exhibit a peak with an intensity greater than a defined signal to noise threshold. After making the molecular assignments, the abundance of each assigned molecule can be determined based on the signal magnitude of the peaks in the mass spectrum. The assigned molecules and the corresponding abundances can then be grouped based on a variety of factors.
Abstract:
A method for detecting and analyzing olefins in petroleum by electrospray ionization mass spectrometry can include obtaining a hydrocarbon sample comprising at least about 90 wt % of saturate compounds; producing a solution comprising the hydrocarbon sample and a metal salt, the metal salt comprising a metal ion; forming olefin-metal ion complexes by electrospray ionization; and detecting the olefin-metal ion complexes using mass spectrometry.
Abstract:
The present disclosure relates to methods for compositional analysis of algal biomass, specifically weight percent elemental composition. In at least one embodiment, a method for compositional analysis of an algae sample includes flash combusting a first portion of the algae sample to provide a carbon wt %, a hydrogen wt %, and a nitrogen weight %. The method includes pyrolysing a second portion of the algae sample to provide an oxygen wt %. The method includes scanning a third portion of the algae sample using x-ray fluorescence to provide an elemental intensity. The method includes normalizing the elemental intensity using the carbon wt %, the hydrogen wt %, the nitrogen wt %, and/or the oxygen wt %.
Abstract:
A method and system for direct quantification of the concentration of biomolecules in algal biomass. The biomolecules include lipids, proteins, and carbohydrates. An algae slurry is cultivated within a cultivation vessel, and algal biomass is harvested therefrom. A portion of biomass is analyzed using solvent-lipid analysis to extract lipids and nuclear magnetic resonance spectroscopy is used to quantify the biomolecular concentration of the biomass.
Abstract:
Systems and methods are provided for modifying or selecting processing conditions for bright stock formation based on compositional characterization of the feedstock and/or bright stock products. In some aspects, the compositional information can include Z-class characterization of the components of a feed and/or bright stock product, optionally in combination with carbon number and/or molecular weight for the components. The compositional information can be used to select processing conditions to allow for removal and/or modification of selected components within a bright stock in order to improve throughput and/or provide desirable cold flow properties.