A method of fitting an oil distillation curve

By optimizing the objective function using cubic spline interpolation and the API model, the problem of error amplification caused by incomplete oil experimental data was solved, achieving accurate fitting of the oil distillation curve and reducing errors, thus ensuring product quality.

CN122090970APending Publication Date: 2026-05-26SHENGTAI ZHIKE (SHANGHAI) SOFTWARE TECHNOLOGY CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHENGTAI ZHIKE (SHANGHAI) SOFTWARE TECHNOLOGY CO LTD
Filing Date
2025-12-31
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

In the existing petroleum refining process, the incomplete experimental data of oil products leads to amplified errors in both forward and reverse calculations, making it difficult to accurately fit the oil distillation curve.

Method used

By combining cubic spline interpolation with the API model and the conversion formula between adjacent distillation temperatures, the objective function is optimized, and a linear approximation method is used to fit the oil distillation curve, thereby reducing errors.

Benefits of technology

This improves the accuracy and consistency of oil distillation curve fitting, reduces errors in the forward and reverse calculation processes, and ensures that products meet national standards.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention relates to a method for fitting oil distillation curves, comprising the following steps: measuring the distillation temperature at which the volume fraction of the oil distillate is , obtaining the two-dimensional variables of the distillation curve, namely the volume fraction and the distillation temperature; based on (,), using cubic spline interpolation to obtain the distillation curve I of the oil fraction, approximately reading and ; according to the API model and the adjacent distillation temperature conversion formula, based on , obtaining ; according to the API model and the adjacent distillation temperature conversion formula, based on , obtaining ; based on the distillation temperature, using cubic spline interpolation to obtain the distillation curve II, approximately reading (,), substituting and into the objective function; re-approximating (,), repeating the above steps to obtain and with smaller values ​​and closer to the actual oil distillation temperature, and using cubic spline interpolation to obtain the oil distillation curve based on (,). The method of this invention can more accurately fit the distillation curve of the oil fraction, providing higher accuracy for predicting oil fractions.
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