US 5,699,269 AGranted

Method for predicting chemical or physical properties of crude oils

AssigneeExxon Research & Engineering Co.

InventorsTerrence Rodney Ashe, Stilianos George Roussis, James Wade Fedora, Gerald Felsky, William Patrick Fitzgerald

Life of this patent

Estimating the term…

Loading patent…

Abstract

A method for predicting the properties of crude oils or their boiling fractions which comprises selecting a chemical or perceptual or physical or performance property or groups of properties of the crude oil or its boiling fractions and creating a training set from reference samples which contain characteristic molecular species present in the crude oil or its boiling fractions. The reference samples are subjected to GC/MS analysis wherein the often collinear data generated is treated by multivariate correlation methods. The training set produces coefficients which are multiplied by the matrix generated from a GC/MS analysis of an unknown sample to produce a predicted value of the chemical, performance, perceptual or physical property or groups of properties selected.

A method for predicting the chemical, performance, perceptual or physical properties of a crude oil which comprises:

(a) selecting at least one property of the crude oil or its boiling fractions;
(b) selecting reference samples, said reference samples containing characteristic chemical compound types present in the crude oil or its boiling fractions and which have known values of the properties selected in step (a);
(c) producing a training set by the steps of:
(1) injecting each reference sample into a gas chromatograph which is interfaced to a mass spectrometer thereby causing at least a partial separation of the hydrocarbon mixture into constituent chemical components and recording retention times of the at least partially separated components;
(2) introducing the constituent chemical components of each reference sample into the mass spectrometer, under dynamic flow conditions;
(3) obtaining for each reference sample a series of time resolved mass chromatograms;
(4) calibrating the retention times to convert them to atmospheric equivalent boiling points;
(5) selecting a series of atmospheric boiling point fractions;
(6) selecting within each boiling point fraction a series of molecular and/or fragment ions, said ions being characteristic of compounds or chemical compound classes expected with the boiling point fraction;
(7) (i) recording the total amount of mass spectral ion intensity of each characteristic compound or compound group selected in step c(6);
and optionally (ii) multiplying total amounts of mass spectral ion intensities of each characteristic compound or chemical compound group from 7(i) by weighting factors to produce either weight or volume percent data;
(8) forming the data from steps c(6) and either of c(7)(i) or c(7)(ii) into a X-block matrix;
(9) forming the property data selected in (a) for reference samples selected in (b) into a Y-block matrix;
(10) analyzing the data from steps c(8) and c(9) by multivariate correlation techniques including Partial Least Squares, Principal Component Regression, or Ridge Regression to produce a series of coefficients;
(d) subjecting a crude oil or its boiling fractions to steps c(1) to c(3) in the same manner as the reference samples to produce a series of time resolved mass chromatograms;
(e) repeating steps c(4) to c(8) for each mass chromatogram from step (d);
(f) multiplying the matrix from step (e) by the coefficients from step c(10) to produce a predicted value of the property or properties for the crude oil or its boiling fractions.

14 more elements

Abstract

Claims11