Method of estimating property and/or composition data of a test sample

• US 5,446,681 A
• Filed: 09/02/1994
• Issued: 08/29/1995
• Est. Priority Date: 10/12/1990
• Status: Expired due to Term

• Current Assignee: Exxon Research and Engineering Company (Exxon Mobil Corporation)
• Original Assignee: Exxon Research and Engineering Company (Exxon Mobil Corporation)
• Inventors: Todd, Terry R., Gethner, Jon S., Brown, James M.
• Primary Examiner(s): Ramirez, Ellis B.
• Application Number:
  US08/300,016
• Time in Patent Office: 361 Days
• Field of Search: 364/554, 364/498, 364/577.01, 364/571.04, 364/578
• US Class Current: 702/27
• CPC Class Codes: G01N 21/3577 for analysing liquids, e.g. polluted water
• CPC Class Codes: G01N 21/359 using near infrared light
• CPC Class Codes: G01N 33/22 Fuels, explosives liquid hydrocarbons G01N33/28
• CPC Class Codes: G01R 23/16 Spectrum analysis; Fourier analysis
• CPC Class Codes: G01R 35/005 Calibrating; Standards or reference devices, e.g. voltage or resistance standards, "golden" references G01R33/0035, G01R35/002 take precedence

Abstract

A method of operating a spectrometer to determine property and/or composition data of a sample comprises an on-line spectral measurement of the sample using a computer controlled spectrometer, statistical analysis of the sample data based upon a statistical model using sample calibration data, and automatically identifying a sample if necessary based upon statistical and expert system (rule-based) criteria. Sample collection based upon statistical criteria consists of performing a statistical or rule-based check against the model to identify measurement data which are indicative of chemical species not in the samples already stored in the model. Samples identified either by a statistical criteria or using an expert system (rule-based decisions) are used preferably to isolate the liquid sample using a computer controlled automatic sampling system. The samples can be saved for subsequent laboratory analysis in removable sample containers. The results of the laboratory analysis together with the on-line spectroscopic measurements are preferably used to update the model being used for the analysis.

Claims

1. A method for recalibrating an analyzer which uses a correlation between calibration sample spectra and a property and/or composition data for estimating that property and/or composition data of a test sample, comprising

(a) performing a spectral measurement on the test sample,

(b) determining the property and/or composition data of the test sample from its measured spectrum, the determination being made from the correlation of the calibration sample spectra to said known property and/or composition data of the calibration sample,

(c) comparing calibration sample spectra as to whether or not the measured spectrum is within the range of the calibration sample spectra,

(d) isolating the test sample if said measured spectrum is not within the correlation between said calibration sample spectra and the property and/or composition data,

(e) analyzing said test sample of step (d) by a separate method to ascertain the property and/or composition data, and

(f) recalibrating the analyzer with this data and with the spectral measurement data obtained by performing the spectral measurement on the test sample of step (d).

2. A method as claimed in claim 1, wherein the spectral measurement of the test sample is performed in the infrared region.

3. A method as claimed in claim 1 for which the calibration sample is eigenvector-based, wherein a simulated spectrum for the test sample is determined by deriving the coefficients for the measured test spectrum from the dot products of the measured test spectrum with each of the model eigenspectra and by adding together the model eigenspectra scaled by the corresponding coefficients, and wherein a comparison is made between the simulated spectrum and the measured spectrum as an estimation of whether or not the measured spectrum is within the range of the calibration sample spectra in the model.

4. A method as claimed in claim 3, wherein the comparison between the simulated spectrum and the measured spectrum is made by determining a residual spectrum as the difference between the simulated spectrum and the measured spectrum, by calculating the Euclidean norm by summing the squares of the magnitudes of the residual spectrum at discrete frequencies, and by evaluating the magnitude of the Euclidean norm.

5. A method as claimed in claim 3, wherein data in the calibration sample spectra due to the measurement process itself is removed therefrom prior to defining the calibration by orthogonalizing the calibration sample spectra to one or more spectra modelling the measurement process data.

6. A method as claimed in claim 3, wherein the Mahalanobis distance is determined for the measured spectrum and the test sample is isolated if the magnitude of the determined Mahalanobis distance is indicative that the estimate of property and/or composition data of the test sample is an extrapolation from the range of data covered by the calibration samples.

7. A method as claimed in claim 6, further comprising calculating the Euclidean norm derived for each test sample/calibration sample pair and comparing the calculated Euclidean norms with a predetermined threshold value so as to isolate the test sample if said threshold value is exceeded.

8. A method as claimed in claim 3, wherein the spectral measurement performed on the test sample is carried out as an on-line spectral measurement.

9. A method as claimed in claim 3, wherein said test sample is a hydrocarbon test sample.

10. A method as claimed in claim 9, wherein said sample is a hydrocarbon/water mixture and the estimate is an estimate of the water content of said mixture.

11. A method as claimed in claim 9, wherein said sample is a hydrocarbon/water mixture and the estimate is an estimate of the hydrocarbon content of said mixture.

12. Apparatus for estimating property and/or composition data of a hydrocarbon test sample, which includes a means for recalibration, said apparatus comprising:

(a) spectrometer means for performing a spectral measurement on a test sample;

(b) computer means (i) for estimating the property and/or composition data of the test sample from its measured spectrum, the determination being made from the correlation of calibration sample spectra to known property and/or composition data for those calibration samples;

(ii) for determining, on the basis of a check of the measured spectrum against the calibration sample spectra, whether or not the measured spectrum is within the range of the calibration sample spectra;

(c) means for generating a response to negative results by isolating said test sample;

(d) means for analyzing said test sample of step (c) to ascertain its property and/or composition data; and

(e) means for inputting such data inputted to said computer for storage therein, so that the analyzer thereby becomes updated according to such data.