公开(公告)号：US07160728B2

公开(公告)日：2007-01-09

申请号：US10663566

申请日：2003-09-16

申请人： Robert J. L. Chimenti ,  Gerald M. Halpern ,  Patricia H. Kalamaras ,  Michael P. Anderson ,  Maureen Iannucci

发明人： Robert J. L. Chimenti ,  Gerald M. Halpern ,  Patricia H. Kalamaras ,  Michael P. Anderson ,  Maureen Iannucci

IPC分类号： G01N33/24 ,  G01N21/00

CPC分类号： G01N33/2876 ,  G01N21/0332 ,  G01N21/314 ,  G01N2201/1293 ,  Y10T436/12

摘要： 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.

摘要翻译： 本发明是通过提供从材料的IR光谱确定TAN的更准确，可重复和快速的方法来改进对石油原料，原料和蒸馏馏分中有机酸的腐蚀性的预测的方法。 该方法可以在炼油厂，终端和分析实验室中轻松实施。 它可以与型号和硬件结合使用，以优化使用，并提高腐蚀性原料的估价。 本发明可以在线实现混合优化。 它包括以下步骤：用IR辐射照射加热的石油样品以产生其IR吸收光谱，并使用线性多变量回归模型从光谱预测TAN。 然后将IR TAN值用作混合，估值和腐蚀模型的输入。