公开(公告)号：EP3141897B1

公开(公告)日：2020-02-12

申请号：EP16188167.7

申请日：2016-09-09

申请人： Saras Ricerche e Tecnologie S.p.A. ,  Universita' Degli Studi Di Cagliari

发明人： PULIGHEDDU, Sonia ,  SASSU, Lorenzo ,  MASILI, Alice

IPC分类号： G01N33/28 ,  G01N24/08

公开(公告)号：EP3141897A1

公开(公告)日：2017-03-15

申请号：EP16188167.7

申请日：2016-09-09

申请人： Saras Ricerche e Tecnologie S.p.A. ,  Universita' Degli Studi Di Cagliari

发明人： PULIGHEDDU, Sonia ,  SASSU, Lorenzo ,  MASILI, Alice

IPC分类号： G01N33/28

CPC分类号： G01N33/2823 ,  G01N24/08

摘要： The present invention concerns a prediction method of chemical-physical properties of a fraction of atmospheric and/or vacuum distillation of a oil, which comprises the following steps:
- withdrawing a first sample of said oil and obtaining its 1 H NMR spectrum;
- withdrawing a second sample of said oil and analytically determining, according to standard analytical methods, the same physical properties for which it is desired to make a prediction with respect to said fraction of atmospheric and/or vacuum distillation or subjecting it to atmospheric distillation and withdrawing a sample of a residue of said atmospheric distillation and determining according to the prediction method, the same physical properties of which it is desired to obtain the prediction with respect to said fraction of vacuum distillation;
- building a "expanded spectrum" by concatenating the 1 H NMR spectrum of said first sample of said oil with the chemical and physical properties determined on said second sample of said oil or on said sample of the residue of said atmospheric distillation;
- obtaining the desired property of said distillation fraction inputting the data obtained from the preceding steps in a mathematical expression, representative of the prediction model, previously obtained by:
I. selecting a set of oils representative of those on which the analysis will have to be carried out;
II. obtaining the spectra of said oils through the 1 H NMR technique;
III. preparing atmospheric and/or vacuum residues by distillation of said oils;
IV. determining a set of chemical-physical properties of said oils by means of standard analytical methods;
V. determining a set of chemical-physical properties of said atmospheric and/or vacuum residues by means of standard analytical methods;
and subsequent building and calibrating of the prediction model through the following steps
VI. producing a set of "expanded spectra", obtained by the concatenation of the data of chemical-physical properties of step IV, in the case of determination of physical properties of a fraction of atmospheric distillation, or of the atmospheric residues of step V, in the case of determination of physical properties of a fraction of vacuum distillation, with the spectra obtained in step II;
VII. making a regression, with a method of multivariate calibration, of the set of "expanded spectra" obtained in step VI with the chemical-physical properties of the atmospheric residues of step V, in the case of determination of physical properties of a fraction of atmospheric distillation, or with the chemical-physical properties of atmospheric and/or vacuum residues of step V, in the case of determination of physical properties of a fraction of vacuum distillation.

摘要翻译： 本发明涉及油的大气和/或真空蒸馏馏分的化学物理性质的预测方法，其包括以下步骤： - 抽出所述油的第一样品并获得其1 H NMR光谱; - 抽出所述油的第二样品，并根据标准分析方法分析地确定与期望对大气和/或真空蒸馏的所述馏分进行预处理或将其经历常压蒸馏相同的物理性质， 取出所述常压蒸馏残渣的样品，并根据预测方法确定与所述真空蒸馏馏分相关的预期相同的物理性质; - 通过将所述油的所述第一样品的1 H NMR谱与在所述油的所述第二样品或所述常压蒸馏的所述残余物的所述样品上测定的化学和物理性质连接来构建“扩展谱”; - 获得所述蒸馏馏分的所需性质，其以表示先前通过以下方式获得的预测模型的数学表达式输入由前述步骤获得的数据：I.选择一组代表将要进行分析的油的油 执行; II。 通过1 H NMR技术获得所述油的光谱; III。 通过蒸馏所述油来制备大气和/或真空残渣; IV。 通过标准分析方法确定所述油的一组化学物理性质; V.通过标准分析方法确定所述大气和/或真空残留物的一组化学物理性质; 并通过以下步骤VI构建和校准预测模型。 通过连续测定步骤IV的化学 - 物理性质的数据，在确定常压蒸馏的一部分的物理性能或步骤V的大气残留物的情况下，生成一组“扩展光谱”，其中 使用步骤II中获得的光谱确定一部分真空蒸馏的物理性质的情况; 七。 使用多变量校准方法对步骤VI中获得的一组“扩展光谱”进行回归，具有步骤V的大气残留物的化学 - 物理性质，在确定大气分数的物理性质的情况下 在确定一部分真空蒸馏的物理性质的情况下，蒸馏或具有步骤V的大气和/或真空残余物的化学 - 物理性质。