Method for predicting hydrocarbon ratio property of oil product by using average boiling point and specific gravity

Abstract

The invention discloses a method for predicting the hydrocarbon ratio property of an oil product by using an average boiling point and a specific gravity. The method comprises the following steps: respectively regressing and establishing a petroleum fraction hydrocarbon ratio estimation formula by using a temperature parameter obtained by using the average boiling point and a density parameter obtained by using the specific gravity; correcting a formula obtained by regression to obtain a petroleum fraction hydrocarbon ratio model; inspecting the goodness of the model; and establishing the estimation method of the hydrocarbon ratio of the petroleum fraction. According to the estimation method provided by the invention, the hydrocarbon ratio estimation model of the petroleum fraction is established, the unknown hydrocarbon ratio physical property of the petroleum fraction is predicted, the precision of the estimation result is high, and the method can be applied to the fields of oil hydrocarbon ratio property estimation, process simulation optimization calculation, device product quality inspection and the like.

Description

technical field [0001] The present invention is applicable to the fields of chemical engineering calculation, chemical engineering design and chemical production, and particularly relates to a method for estimating the physical properties of petroleum distillate carbon-hydrogen ratio. Petrochemical production, process simulation, simulation calculation, etc. Background technique [0002] The carbon-hydrogen ratio of petroleum fractions is the basic property of petroleum substances, and the carbon-hydrogen ratio is used to characterize the composition of petroleum fractions or the type of hydrocarbons. Based on the experimental data, the American Petroleum Institute (API) handbook gives a nomogram for estimating some difficult-to-measure properties from easily-measured properties such as density, boiling point, and Raiter vapor pressure. From the application point of view, the average boiling point and density of petroleum fractions are the two most commonly used and most ac...

AI Technical Summary

Problems solved by technology

For petroleum fractions, the composition is complex, and there are many measured crude oil data, but compared with the types of oils involved in industry and research, it is still not sufficient. With the development of production and scientific research, it is often encountered that the carbon-hydrogen ratio Unmeasured petroleum fractions, need to be estimated

[0008] In the early days, the hydrocarbon ratio of petroleum fractions was mostly estimated using simple mathematical models. These methods are simple and easy to use. However, due to the relatively small amount of original data, the regression method is relatively rough, and there is no interaction between variables. Estimating the hydrocarbon ratio of petroleum fractions is based on experience, and different estimation formulas have different application ranges. For some petroleum fractions, the estimation accuracy of hydrocarbon ratio is not high, and the accuracy is poor

At present, there are still large errors in the calculation results of the existing carbon-hydrogen ratio estimation model. With the increasing number of oil varieties today, it is difficult to meet the needs of actual estimation.

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