US 5,600,134 AGranted

Method for preparing blend products

AssigneeExxon Research & Engineering Co.

InventorsTerrence R. Ashe, Robert J. Falkiner, Tian C. Lau

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Abstract

A method for controlling the blending of blend stocks having boiling points less that 350.degree. C. into blend products or controlling refinery or chemical processes with feedstocks and products with boiling points less than 350.degree. C. The method comprises selecting one or more chemical or perceptual or physical property or performance properties of the blend stock or blend product or refinery or chemical feed or product, creating a training set from reference samples which contain characteristic molecular species present in the blend stock or blend product or refinery or chemical process feed or product. The reference samples are subject 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 blend stock or blend product or refinery or chemical process feed or product to produce a predicted value for the chemical, performance, perceptual or physical property or groups of properties selected.

Claims11

Dependent claims

A method for controlling the blending of a plurality of blend stocks each having boiling points less than about 350.degree. C. into at least one blend product which comprises the steps of:

(a) selecting at least one of physical, perceptual, performance and chemical properties of at least one of blend stock and blend product;
(b) selecting reference samples, said reference samples containing characteristic compounds present in at least one blend stock and blend product and which have known values of the properties selected in the 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;
(2) introducing the constituent chemical components of each said reference sample into the mass spectrometer, under dynamic flow conditions;
(3) obtaining for each said reference sample a series of time resolved mass chromatograms;
(4) calibrating the mass chromatograms to correct retention times;
(5) selecting a series of corrected retention time windows;
(6) selecting within each retention time window a series of molecular or fragment ions, said ions being representative of said characteristic compounds or compound classes expected within the retention time window;
(7) recording the total amount of each characteristic compound or compound group selected in the step c(6);
(8) forming the data from the steps c(6) and c(7) into a X-block matrix;
(9) forming the property data selected in the step (a) for said reference samples selected in the step (b) into a Y-block matrix;
(10) analyzing the data from the steps c(9) by multivariate correlation techniques including Partial Least Squares, Principal Component Regression, or Ridge Regression to produce a series of coefficients;
(d) subjecting at least one of said blend stock and said blend product samples to the steps c(1) and c(3) in the same manner as the reference sample to produce a series of time resolved mass chromatograms;
(e) repeating the steps c(4) to c(8) chromatograms from the step (d);
(f) multiplying the matrix from the step (e) by the coefficients from the step c(10) to produce a predicted value of the properties for the at least one of said blend stock and said blend product samples;
and
(g) using the predicted values of said selected properties of the at least one of said blend stock and said blend product samples to control the amount of said blend stock in the blend product.

15 more elements

A method for controlling or monitoring chemical or refinery processes which utilize feed stocks and/or produce products having boiling points less than abut 350.degree. C. which comprises the steps of:

(a) selecting at least one of physical, perceptual, performance and chemical properties of at least one feed stock, intermediate stream and process product.
(b) selecting reference samples, said reference samples containing characteristic compounds present in the at least one said feed stock, intermediate stream or product and which have known values of the properties selected in the step (a);
(c) producing a training set by the steps of:
(1) injecting each said 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;
(2) introducing the constituent chemical components of each said reference sample into the mass spectrometer, under dynamic flow conditions;
(3) obtaining for each said reference sample a series of time resolved mass chromatograms;
(4) calibrating the mass chromatograms to correct retention times;
(5) selecting a series of corrected retention time windows;
(6) selecting within each retention time window a series of molecular and/or fragment ions, said ions being representative of said characteristic compounds or compound classes expected within the retention time window;
(7) recording the total amount of each characteristic compound or compound group selected in the step c(6);
(8) forming the data from the steps c(6) and c(7) into a X-block matrix;
(9) forming the property data selected in the step (a) for said reference samples selected in the step (b) into a Y-block matrix;
(10) analyzing the data from the steps c(9) by multivariate correlation techniques including Partial Least Squares, Principal Component Regression, or Ridge Regression to produce a series of coefficients;
(d) subjecting at least one of said refinery process chemical process, intermediate stream, product and feed stock sample to the steps c(1) to c(3) in the same manner as the reference sample to produce a series of time resolved mass chromatograms;
(e) repeating the steps c(4) to c(8) mass chromatograms from the step (d);
(f) multiplying the matrix from the step (e) by the coefficients from the step c(10) to produce a predicted value of the properties of the refinery or chemical sample or samples;
and
(g) using the predicted values of the properties of the refinery or chemical sample or samples to control the refinery or chemical process.

15 more elements

Dependencies are inferred from the claim text.