公开(公告)号：US5699270A

公开(公告)日：1997-12-16

申请号：US494643

申请日：1995-06-23

Applicant: Terrence Rodney Ashe ,  Ross William Kapala ,  Stilianos George Roussis

Inventor： Terrence Rodney Ashe ,  Ross William Kapala ,  Stilianos George Roussis

IPC: G01N33/30 ,  C10G21/30 ,  C10G45/72 ,  C10G49/26 ,  C10G53/06 ,  C10G67/04 ,  C10G71/00 ,  C10G73/34 ,  G01N1/16 ,  G01N1/20 ,  G01N33/28 ,  G01J3/42

CPC classification number: G01N33/2888 ,  G01N33/2829 ,  C10G2400/10 ,  G01N1/16 ,  G01N1/2035

Abstract: A method for controlling the manufacture of lubricating oils involving the steps of distillation, extracting, dewaxing and optionally hydrofining; or for controlling operating units associated with refinery or chemical processes with feed stocks and products boiling above 350.degree. C. The method comprises selecting one or more chemical or perceptual or physical or performance properties of the lubricating oil or the feedstock, distillate or raffinate used in the manufacturing process; or of the refinery or chemical process feed stocks or products; creating a training set from reference samples which contain characteristic molecular species present in the lubricating oil, feedstock, distillate or raffinate used in the manufacturing process or from the refining or chemical operations. The reference samples are subjected 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 sample to produce a predicted value of the chemical, performance, perceptual or physical property or groups of properties selected.

Abstract translation: 一种控制制造润滑油的方法，包括蒸馏，萃取，脱蜡和任选加氢精制的步骤; 或用于控制与炼油或化学过程相关的操作单元，其中原料和沸点高于350℃的产物。该方法包括选择润滑油或原料，馏出物或残液中使用的一种或多种化学或感知或物理或性能 制造过程; 或炼油厂或化学工艺原料或产品; 从包含在制造过程中使用的润滑油，原料，馏出物或提余液中的特征分子种类或来自精炼或化学操作的参考样品创建训练集。 参考样品进行GC / MS分析，其中生成的常数共线数据通过多变量相关方法进行处理。 训练集产生系数，乘以由未知样本的GC / MS分析产生的矩阵，以产生所选择的化学，性能，知觉或物理属性或属性组的预测值。

公开(公告)号：US5699269A

公开(公告)日：1997-12-16

申请号：US494203

申请日：1995-06-23

Applicant: Terrence Rodney Ashe ,  Stilianos George Roussis ,  James Wade Fedora ,  Gerald Felsky ,  William Patrick Fitzgerald

Inventor： Terrence Rodney Ashe ,  Stilianos George Roussis ,  James Wade Fedora ,  Gerald Felsky ,  William Patrick Fitzgerald

IPC: G01N30/02 ,  G01N30/62 ,  G01N30/72 ,  G01N30/86 ,  G01N30/88 ,  G01N33/28 ,  G01J3/42

CPC classification number: G01N33/2823 ,  G01N2030/626 ,  G01N2030/8854 ,  G01N2201/129 ,  G01N30/7206 ,  G01N30/8668 ,  G01N30/8693

Abstract: A method for predicting the properties of crude oils or their boiling fractions which comprises selecting a chemical or perceptual or physical or performance property or groups of properties of the crude oil or its boiling fractions and creating a training set from reference samples which contain characteristic molecular species present in the crude oil or its boiling fractions. The reference samples are subjected 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 sample to produce a predicted value of the chemical, performance, perceptual or physical property or groups of properties selected.

Abstract translation: 一种用于预测原油或其沸腾馏分的性质的方法，其包括选择原油或其沸点馏分的化学或感知或物理或性能特性或性质组合，并从包含特征分子种类的参考样品产生训练集 存在于原油或其沸腾馏分中。 参考样品进行GC / MS分析，其中生成的常数共线数据通过多变量相关方法进行处理。 训练集产生系数，乘以由未知样本的GC / MS分析产生的矩阵，以产生所选择的化学，性能，知觉或物理属性或属性组的预测值。