TPYE SELECTION OF CRUDE OIL FOR STRAIGHT-RUN ASPHALT PRODUCTION BASED ON SVDD METHOD

Abstract

Abstract: Straight-run asphalt production is the main way to produce road asphalt, which has significant advantages in economy and energy efficiency. However, the selection of crude oil in this production process usually depends on qualitative analysis and historical experience while lacking complete theoretical data support. Through collecting a large number of successful cases of asphalt production, extracting the physical properties data of corresponding crude oil and processing and analysis, combined with the SVDD single-value classifier characteristics, a support vetor data description(SVDD-based) model for identifying the types of bituminous crude oil produced by straight-run asphalt was established. Based on the model, 273 types of crude oil in the SINOPEC crude oil database were mined and identified, and 46 types of crude oil suitable for straight-run asphalt production were finally obtained. Furthermore, through feasibility analysis, the validity of single-value classifier in crude oil data mining was confirmed, which provided theoretical support for the management decision of refinery enterprises. This method not only can clarify the selection space of oil for asphalt production, but also reduces the cost of trial and error of crude oil selection and improves the feasibility of asphalt production.

Key words: asphalt production, crude oil, data mining, SVDD, classifier

References

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