Method for determining crude oil true boiling point distillation curve by using infrared spectroscopy

Abstract

The invention relates to a method for determining a crude oil true boiling point distillation curve by using infrared spectroscopy. The method comprises the steps that: (1) various crude oil samples are collected; distillate component yields of the crude oil samples at every distillation temperature are determined with a standard method; and a crude oil sample yield matrix under each distillation temperature is respectively established; (2) infrared spectra of the crude oil samples under different temperatures are determined; a differential treatment is carried out; light absorbance at a 677-3060cm<-1> characteristic spectral region form a three-dimensional spectral matrix X (I*J*K); X is respectively subjected to a multidimensional partial least square method with a component yield matrix at each distillation temperature, such tat a correction model of distillate yield under each distillation temperature is established; and (3) infrared spectra of a crude oil sample requiring determination under different temperatures are determined under a same condition of that of the collected crude oil samples; a differential treatment is carried out; light absorbance at a characteristic spectral region form a three-dimensional spectral matrix of the crude oil sample; the matrix is introduced into the correction model of component yield under each distillation temperature established in the step (2), such that the crude oil sample true boiling point distillation curve is obtained. With the method, crude oil sample true boiling point rapid prediction is realized, such that a fast and convenient method is provided for determining crude oil processing scheme and optimizing production decisions.

Description

technical field [0001] The invention is a method for predicting properties of crude oil from spectrum, in particular, a method for predicting real boiling point distillation (TBP) curve by using infrared spectrum of crude oil samples. Background technique [0002] Crude oil evaluation data is particularly important for crude oil market transactions and production and processing. For refineries, changes in market transactions and raw materials make refineries often use various crude oils and blended crude oils as raw materials. At the same time, in the process of crude oil distillation and pipeline transportation, the switching of crude oil also makes the crude oil mix naturally in the oil pipeline. If the change in the properties of crude oil cannot be detected in time, the frequent replacement and natural mixing of this crude oil will bring great difficulties to the efficient operation of the crude oil distillation unit. When the nature of crude oil fluctuates greatly, re...

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Problems solved by technology

[0003] Crude oil true boiling point distillation (TBP) curve analysis process is characterized by a large amount of samples, low degree of automation, and long analysis time, which cannot meet the requirements of rapid quality detection and on-line analysis of crude oil. Therefore, the gas chromatography simulated distillation method has been gradually developed. Although this method The analysis time and sample consumption are greatly reduced, and the degree of automation is improved, but the analysis time of each sample still needs more than 4 hours, and the operation is complicated, and it is difficult to realize online quality monitoring

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