The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jan. 09, 2007

Filed:

Sep. 16, 2003
Applicants:

Robert J. L. Chimenti, Short Hills, NJ (US);

Gerald M. Halpern, Bridgewater, NJ (US);

Patricia H. Kalamaras, Milford, NJ (US);

Michael P. Anderson, The Woodlands, TX (US);

Maureen Iannucci, Sierra Madre, CA (US);

Inventors:

Robert J. L. Chimenti, Short Hills, NJ (US);

Gerald M. Halpern, Bridgewater, NJ (US);

Patricia H. Kalamaras, Milford, NJ (US);

Michael P. Anderson, The Woodlands, TX (US);

Maureen Iannucci, Sierra Madre, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G01N 33/24 (2006.01); G01N 21/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The invention is a method to improve the prediction of the corrosivity of organic acids in petroleum crudes, feedstocks and distillation fractions by providing a more accurate, repeatable, and rapid means of determining the TAN from the IR spectrum of the material. The method can be easily practiced in refinery, terminal, and assay laboratories. It can be used in conjunction with models and hardware to optimize the usage and improve the valuation of corrosive feed stocks. The invention can be implemented on-line for blending optimization. It comprises the steps of irradiating a heated petroleum sample with IR radiation to produce its IR absorption spectrum, and predicting the TAN from the spectrum using a linear, multivariate regression model. The IR TAN value is then used as input to blending, valuation, and corrosion models.


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